ElegantJ BI Blog https://www.elegantjbi.com/blog Simply Smarter! Tue, 18 Jan 2022 12:47:09 +0000 en-US hourly 1 https://wordpress.org/?v=4.3.27 Assisted Predictive Modeling is Your Secret Weapon! https://www.elegantjbi.com/blog/assisted-predictive-modeling-secret-weapon.htm https://www.elegantjbi.com/blog/assisted-predictive-modeling-secret-weapon.htm#comments Tue, 18 Jan 2022 12:46:53 +0000 https://www.elegantjbi.com/blog/?p=8030 Continued]]> can-i-really-expect-my-business-users-to-adopt-predictive-analyticsPredictive Analytics That is Easy Enough for Any Business User!

Predictive analytics may seem too complex for business users but with advanced technology like machine learning and features like assisted predictive modeling users can dive into the process without the skills of an IT professional or a data scientist. Assisted predictive modeling frees the user by providing system recommendations that will suggest the right analytical technique and achieve the best fit for what the user wants to do, ensuring that they use the most appropriate algorithm for the data they wish to analyze.

With these tools, users can explore patterns in data and receive suggestions to help them gain insight on their own without dependence on IT or data scientists. The enterprise can provide the tools needed at every level of the organization with tools and data science for business users that are sophisticated in functionality and easy-to-use for users at every skill level.

These augmented analytics tools allow the organization to apply predictive analytics to any use case using forecasting, regression, clustering and other methods to analyze an infinite number of use cases including customer churn, and planning for and target customers for acquisition, identify cross-sales opportunities, optimize pricing and promotional targets and analyze and predict customer preferences and buying behaviors.

If you are considering an augmented analytics solution, your requirements should include assisted predictive modeling. The benefits of this approach include:

  • No complex algorithms or data manipulation
  • System generated auto-recommendations for algorithms to explore underlying data
  • No advanced data scientist or IT skills required
  • Users can analyze, share and optimize business potential and productivity
  • Users can prototype and hypothesize without professional assistance

If your business wants to gain insight and perspective and achieve a competitive advantage, using simple, Assisted Predictive Modeling and Augmented Analytics tools, Contact Us today to get started.

Original Post : Can I Really Expect My Business Users to Adopt Predictive Analytics?

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4 BI Reporting Insights Achieved with Tally Analytics! https://www.elegantjbi.com/blog/4-bi-reporting-insights-achieved-tally-analytics.htm https://www.elegantjbi.com/blog/4-bi-reporting-insights-achieved-tally-analytics.htm#comments Sun, 16 Jan 2022 19:04:29 +0000 https://www.elegantjbi.com/blog/?p=8021 Continued]]> 4-bi-reporting-insights-achieved-with-tally-analyticsMany accounting and finance professionals use Tally ERP for data entry and reporting. If a business adds analytics to the Tally ERP environment, it can provide user-friendly augmented analytics that will optimize resources, increase productivity and add value to the business and the user by offering insight into the mountain of data contained within the Tally solution modules.

This article discusses four (4) examples of insight gleaned from adding built-in reporting and augmented analytics to the business accounting and finance software solution.

Banking and Cash Management

This report allows users to search for and understand trends and patterns in banking and cashflow. Business users can search for a particular time period and compare that time period to comparable historical periods. Identifying trends and patterns in cashflow and banking can provide valuable information and alert the business to issues that may affect the ability to apply for funding, the capacity of the business to make investments, fund new projects, etc.

 

Banking and Cash Management

Sales and Purchasing

Business users can explore sales to date, and examine monthly, quarterly and yearly trends and key performance indicators (KPIs). The business can analyze sales, identify top customers and detail sales registers. These trends can help sales managers identify top sales staff and techniques, where to market and which customers to target. Purchasing managers can identify trends and anticipate the need for supplies to satisfy demand.

 

Sales and Purchasing

Payables and Receivables

Accountants routinely use payables and receivables to highlight business issues. With built-in reports to analyze payables and receivables, accountants can take analysis to the next level, break down payables and receivables by creditors and debtors, by product, by service and/or components and look for trends for overdue collections, invoicing issues, potential customer or client defaults based on previous payment history, etc.

 

Payables and Receivables

 
Inventory Management

Inventory management is crucial to business success. Carrying and warehousing an overage of inventory costs money. Running short on inventory of supplies or products costs the business in prospective sales. Built-in reports for Inventory Management allow business users to analyze inventory to identity current shortages or overages and to use trends to anticipate where future issues may arise. Users can explore overstock and understock to look for wholesale opportunities or identity targets for product discounts to move inventory, and they can explore issues and opportunities for products, shipping and distribution.

 

Inventory Management

In this article, we explored four of the many benefits and features the business will enjoy by adding integrated augmented analytics and built-in reporting for business and professional use.

These are just a few of the reasons for integrating augmented analytics with Tally ERP. If you want to get more value out of your Tally ERP solution and optimize your resources and professional efforts, Contact Us for more information on SmartenApps For Tally.  For more information about integrating Augmented Analytics with Tally ERP, visit our Blog.

Original Post : 4 BI Reporting Insights Achieved with Tally Analytics!

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Help Your Clients AND Yourself with Analytics for Tally ERP! https://www.elegantjbi.com/blog/clients-analytics-tally-erp.htm https://www.elegantjbi.com/blog/clients-analytics-tally-erp.htm#comments Tue, 11 Jan 2022 06:49:28 +0000 https://www.elegantjbi.com/blog/?p=8013 Continued]]> analytics-can-take-tally-erp-to-the-next-levelIf You Work with Numbers, You Need Analytics!

When you tell someone you work in a finance-related position, their eyes might glaze over. They picture you ‘counting beans’. Whether you work in inventory management, purchasing, accounting, enterprise finance or any other related position, your job can seem mysterious (and even boring) to many people. But, yours is the lifeblood of the organization.

If the business does not understand its expenses, where and how it generates revenue, who its most important customers are, where it can save money on suppliers and supply chain, how to manage inventory, how to avoid expensive tax issues and messy statutory and regulatory reporting mistakes – well, all of those things relate to money, don’t they? And money is what makes the organization run (or fail).

As a numbers and money manager, you will doubtless use a software solution like Tally ERP. These solutions manage finance-related, accounting and other functions by enabling data entry and reporting. But, what if you could go beyond this simple day-to-day workflow, take all that data contained in the system and analyze it to spot trends, issues and opportunities and to truly understand what is going on, what if you could report across modules and do so in a way that produces insightful information rather than columns of data you have to explain to your clients and colleagues?

What true nuggets of information are hidden in that data, beneath the surface, or on the other side of the organization? What if you could add value to your organization, and to your own role in the enterprise by providing advice and counsel instead of numbers?

Analytics Can Take Tally ERP to the Next Level

With the right integrated analytical tools, you CAN do all of that and more with key performance indicators (KPIs), ledger, shipping and distribution, cost center, and banking support and more. If you are a Tally user, you can leverage powerful analytical tools to add value to your organization and take a proactive role in results. AND, your business can evaluate the solution for free. Find out more about SmartenApps For Tally analytics. Contact Us to today to find out how SmartenApps for Tally can help you achieve your goals.

Original Post : Analytics Can Take Tally ERP to the Next Level!

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Case Study – Audit & Compliance Analytics for a Leading Private Bank in India https://www.elegantjbi.com/blog/case-study-audit-compliance-analytics-leading-private-bank-india.htm https://www.elegantjbi.com/blog/case-study-audit-compliance-analytics-leading-private-bank-india.htm#comments Fri, 07 Jan 2022 12:04:30 +0000 https://www.elegantjbi.com/blog/?p=8002 Continued]]> The Partner is based in India and offers an Audit, Compliance and Risk Management solution for banks, insurance companies and financial institutions. The comprehensive solution helps organizations to improve efficiency and effectiveness of audit department operations by standardizing organizational audit procedures to manage internal risks and compliance.

The Client is the leading private sector bank in India, and the largest private sector bank in India by assets and by market capitalisation. The Client offers Online Net Banking Services and Personal Banking Services like Accounts and Deposits, Cards, Loans, etc. and its wide range of financial products in hundreds of Indian cities.

The Smarten analytics solution allows users to analyze important data and to identify and monitor the audit compliance section, and to measure tactical and operational results at a summary and detailed level to derive alerts and status.

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Democratize BI Tools: Information is Power! https://www.elegantjbi.com/blog/democratize-bi-tools-information-power.htm https://www.elegantjbi.com/blog/democratize-bi-tools-information-power.htm#comments Fri, 07 Jan 2022 09:41:01 +0000 https://www.elegantjbi.com/blog/?p=8007 Continued]]> democratized-bi-tools-support-for-successWhy Democratize Business Intelligence? Lots of Reasons!

Perhaps you have resisted the temptation to democratize data in your organization. Your resistance may come from in-house, in the form of those who tell you that data governance is impossible in an environment where you spread your data far and wide. Perhaps you believe that the average business user cannot and will not use business intelligence tools, so any expense or time to implement such a solution would be wasteful. Perhaps you feel that the value of such a solution and of user adoption of these tools is overrated, and that ROI and TCO would not be worth the time and effort.

No matter the reason for your resistance, I can tell you that the value of a self-serve business intelligence solution is, if anything, underrated!  Well-chosen BI tools can democratize data, provide the tools your users need to make fact-based decisions and ensure that work product is timely, that recommendations are based on clear, concise data rather than guesswork and opinion, and that business users who adopt and use these tools can better leverage their own professional knowledge and skill and combine that skill with data to gain insight, collaborate and share data and perform their individual roles more effectively.

Here are just a few reasons to consider democratizing data and the use of business intelligence tools:

  • Improve Productivity and Collaboration
  • Gain Clarity and Improve Accuracy of Decisions and Work Product
  • Improve Data Literacy
  • Optimize Data Scientist and Business Analyst Resources
  • Increase Insight and Problem Solving
  • Capitalize on Opportunities

As they say, information is power, and business users and even analysts can miss critical trends, struggle to solve problems and lose crucial time and energy trying to sift through data and information spread across the enterprise. By bringing this data together in a self-serve environment, business users can test theories and identify patterns, trends and anomalies, without waiting for IT or data scientists to deliver reports.

If your business wants a Business Intelligence Solution that provides out-of-the-box functionality based on your industry or business function, and application integration capability, you can start here: Self-Serve Business Intelligence In Action.

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Data Democratization Think of it as Home Renovation! https://www.elegantjbi.com/blog/data-democratization-home-renovation.htm https://www.elegantjbi.com/blog/data-democratization-home-renovation.htm#comments Wed, 05 Jan 2022 08:49:31 +0000 https://www.elegantjbi.com/blog/?p=7989 Continued]]> data-democratization-think-of-it-as-home-renovationThe focus of this article is on Data Democratization within the business enterprise, but the concepts and approaches involved in implementing this type of initiative are worth considering for any kind of major change within an organization.

When thinking about business environments, how they are established and how they evolve, it is often helpful to use an analogy to which everyone can relate. In this case, we are changing the business environment to establish a more democratized approach to data and we might think of the existing business environment as the four walls of a house.

‘When an enterprise-wide change is contemplated, the business must acknowledge the very real existence of a culture within the organization and it must address that culture and understand how it works. That is the only way this type of enterprise-wide change will succeed.’

Whether you built your home (or business) yourself, or you are living in that house and dealing with the structural decisions made by others, you have established a way of working and living that incorporates the strengths and the shortcomings of the structure. If you don’t have enough closet space, perhaps you purchased a wardrobe to accommodate your clothing. If you don’t have a large space in which to entertain, you may have your parties in the back yard or even rent a space to get together with family and friends. If you have a lot of stairs in your home, the chances are good that you gather your laundry into a basket over a period of days before you take it down to the laundry room – just to save yourself some steps. Over time, the flow of your life and the processes you use to accomplish tasks will morph to accommodate the reality of the house structure.

And, so it is with workflow and business processes. Over time, a business establishes teams, processes and workflow to accomplish tasks and the people within each department and division further alter these workflows and processes to create shortcuts or to get the work done in a way that makes more sense to them.

When an enterprise-wide change is contemplated, the business must acknowledge the very real existence of a culture within the organization and it must address that culture and understand how it works. That is the only way this type of enterprise-wide change will succeed.

You wouldn’t begin a house renovation without drawing up plans, would you? Of course not. Consider the evolution of structural design over the past few decades. Today, architects and designers consider function (how the space will be used) and then design the form or structure, and decide how the space will flow and where closets, cabinets, stairwells and other features will be placed to make the structure as effective as possible.
Think of your business environment in the same way and remember that whatever new process or workflow you put in place will be altered by team members if it doesn’t work for them. So, include those team members in the planning phase.

The following factors should be included in your Data Democratization initiative. Integrating these issues and roles into the planning process will ensure that you can build an organization that will improve data literacy across the enterprise and support the transformation of business users into Citizen Data Scientists – team members that are comfortable using data to make decisions, present findings and make recommendations and share and collaborate using data.

 

Data Democratization Think of it as Home Renovation

 

Build a Comprehensive Set of Requirements

Think of this as sitting down with the family to discuss what changes should be made to your existing home or to make a list of those things you want so you can search for a new home. What is working, what is not working. Without a comprehensive understanding of how and when you currently use data AND where there are gaps or restrictions that prevent business users from accessing and analyzing data, you are not likely to accomplish your goals for data democratization. To democratize data within the enterprise, one needs access, easy-to-use tools and a basic understanding of how and when data should and will be used to make decisions and where and when it must be shared across roles and departments.

What are your business metrics? Do these need to change? Are you measuring the right things? If you provide access to analytical tools for business users, what metrics will they use to know if they are meeting their goals and achieving the business vision?

Ask how broad access to data can improve business results. How can it make your team more productive?

Your requirements must, by the very nature of the project, include a review of your data systems and repositories. To integrate data and make it easily accessible you will need to build a strategy with your IT team, data scientists or analysts and/or a consultant. But, you will also need to understand what type of training or access your individual team members and teams will need, and at what level the access should be provided, so that you can design appropriate security and data governance policies.

Build a Data Access and Collaborative Strategy

Once you have that list of features and functional concerns from your ‘family’, you can begin to design the home renovation or, in this case, the data democratization plan.

Your project team should engage business users, present the data democratization rationale and work with the team members to examine existing workflows and gaps. Be honest about what is working and what is not working. This is no time for your team members to hold back. What kinds of issues do they struggle to solve? Where are they missing data that would help them make better decisions? What technical or analytical skills do they have and what do they need to be confident in their use of new tools or processes?

Build business use cases that will help you sketch out the actual flow and outcomes to achieve your goals and reveal where there may be gaps or roadblocks.

Your plan must also include ongoing reviews and continuous improvement so that when the initiative is rolled out, you have a way of measuring, monitoring and adapting to ensure that these changes take hold within the enterprise and that every manager, team member, IT professional, and analyst understands their role, collaborates and uses data to make decisions.

Use the detailed requirements, use cases and business process and workflow assessments to begin a search for your ‘architect’ or technical consultant. You will be looking for services and tools that will fit your requirements and training and assistance to get you to your goals.

Implement and Monitor

As with any change, the change must be embraced at every level or it will not work. Once the data democratization initiative is in place, the management team must support the use of these new tools and business processes and encourage their use by adapting team evaluations, creating expectations of data use in staff meetings and reporting and asking thoughtful questions during interaction to ensure that team members are bringing in others and collaborating appropriately to get the right outcomes. If the team does not believe you are invested in the changes, they will not adopt new tools or they will find workarounds that more closely align with what is familiar to them.

Find and leverage champions within each business unit and department. These people can become mentors to those who may be less comfortable with technology or with the new analytics tools and techniques. Create systems of reward and compensation, and change job descriptions and written goals and objectives to ensure that all systems support the new initiative.

Schedule periodic meetings to discuss what is working and where there may be a need for changes. During these sessions, you may also wish to solicit creative ideas for how to continue the evolution. As team members get comfortable with the tools, the techniques and the changes, they will often come up with great ideas to continue the growth of the concept within the enterprise.

Establish and Maintain a Data-Driven Culture

Change is hard and it must be monitored and supported at every step if it is to succeed. Habits are hard to break and people sometimes feel threatened if they perceive that their role might be in jeopardy. Establish a culture that clearly states and supports the idea of data-driven decisions, reporting, collaboration, sharing and team results and metrics. When you receive a report, ask questions about the data and where it originated, how it was gathered, etc.

Ask what techniques were used. The first time you ask, you may get a blank stare but the second time you ask, the team member will know what is expected and will have done their homework. Use team meetings and presentations to provide your own metrics and analytics on things so you can role model these changes and tell your team members that if they need help preparing a report or analyzing an issue, there are resources that are ready to help. Depending on the size of the team and the resource demands, analysts, data scientists and IT may be assigned these mentoring tasks, or you may use champions and power users within each department. The latter is the preferred method as these people are typically more familiar to the team and it is likely they will feel more comfortable seeking them out and will take the time to talk to them because they know them well.

A simpler way to think about creating this data-driven approach and implementing in on a daily basis is to think of your products and services as being comprised of materials, pieces, steps in a process AND data. Every product or service should be built on the foundation of data – research about changing customer needs and buying behaviors, analysis of risk, mitigation of downtime, resource requirements, investment needs, etc.

Much has been written about the benefits and future of data democratization in business but, to get there, an enterprise must understand its need for data, who is and will be using that data, how teams work today and how they will work in the future, and how to change the culture and sustain the use of these tools and this philosophy within the enterprise. If a business does not do the hard work of preparing for and planning its strategy for this change, it is not likely to succeed.

Like a home renovation, data democratization does not miraculously happen on its own, simply because someone decides it is a good idea. There is a lot of demolition, hammering and hard work. But, when the dust settles, you’ll be glad you put in the effort!

Original Post : Data Democratization Think of it as Home Renovation!

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Why Would I Want to be a Citizen Data Scientist? https://www.elegantjbi.com/blog/why-want-to-be-citizen-data-scientist.htm https://www.elegantjbi.com/blog/why-want-to-be-citizen-data-scientist.htm#comments Wed, 05 Jan 2022 07:48:56 +0000 https://www.elegantjbi.com/blog/?p=7984 Continued]]> i-m-a-citizen-data-scientist-but-do-i-want-to-beWhat Does Becoming a Citizen Data Scientist Get Me?

When your enterprise turns to you to inhabit the Citizen Data Scientist role, it may (or may not) provide information on what that role is, why it is important for business users to transform into the role and exactly how the transformation will work. Online training programs, like the one mentioned in the closing lines of this article, provide information on the role, its purpose, how to collaborate with data scientists and IT, how augmented analytics solutions work and the types of analytical techniques you will be using.

This article is not meant to cover those topics but, rather, to provide a bit of information on why you might want to explore and embrace this role, what it can do for your career and your visibility and other factors to consider. So when someone says, ‘I hereby pronounce you a Citizen Data Scientist’, you are more likely to look at the pronouncement as a positive thing!

Adding to Your Resume – Using a self-serve augmented analytics solution may not come naturally to you, but with the right solution the tasks you will perform will become second nature in no time. In the meantime, you can explore, create, test theories and dive into the system to truly understand how it will support you in your role, and how you can take your knowledge and use it to ask the right questions and analyze data to make fact-based decisions. Adding ‘analytics’ and knowledge of analytical techniques to your resume is not a bad thing. Whether you are angling for a promotion or looking for a position in another company, these are skills you can use. Every business today needs to optimize productivity and resources, and a knowledge and use of analytics will job the job done faster and with better results!

Gaining Visibility – Rather than pushing for things to stay the way they are, embrace the change. Learn the solution and learn how to use augmented analytics and your role as Citizen Data Scientist to gain visibility. Be the one in the room who produces reports and information based on facts. Make observations, recommendations and plans based on the data contained within the enterprise, and use that information to your benefit. Make suggestions to your manager or team leader and show them the data to back it up. They will remember your contribution!

Having a Voice for Future Changes – If you are actively involved in using analytics and analytical solutions, you are likely to be on the team that is asked for suggestions for upgrades, future technology support and ways in which the organization can engage with and use this data and augmented analytics solutions and techniques to improve results. Where and how will the new solution be rolled out to have the greatest impact? Instead of waiting for someone to make an arbitrary decision, a business user acting as a Citizen Data Scientist has the experience and skill to provide advice and contribute to the plan.

Being a Champion – Flex your mentoring muscles and show that you are a leader. If you are actively using augmented analytics, natural language processing (NLP) tools, search analytics, smart data visualization, predictive analytics and self-serve data preparation to do your job you are well-positioned to become a champion, to explain the benefits to other, more skeptical users, and to lend a helping hand when someone has a question. Being a champion positions you to show your leadership skills!

These are just a few of the ways the Citizen Data Scientist role can benefit you. For more information on Citizen Data Scientist initiatives and how to successfully implement this type of initiative in your business, explore these Citizen Data Scientist Blog Publications.

If you are a prospective Citizen Data Scientist, you don’t have to do this alone! Contact Us to today or Click Here to explore training for Citizen Data Scientists, designed to help you succeed on your Citizen Data Scientist journey.

Original Post : I’m a Citizen Data Scientist! But Do I Want to Be?

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Smarten Support Portal Updates – December – 2021! https://www.elegantjbi.com/blog/smarten-support-portal-updates-december-2021.htm https://www.elegantjbi.com/blog/smarten-support-portal-updates-december-2021.htm#comments Wed, 29 Dec 2021 08:19:30 +0000 https://www.elegantjbi.com/blog/?p=7958 Continued]]> smarten-support-portal-updates-december-2021We invite you to explore our latest knowledgebase articles and to join the Smarten user community on Smarten Support Portal.

If you have not registered yet, Click Here to obtain your login credentials.

 

 

 

 

 

 

Knowledgebase Articles

  1. LDAP/AD : AD Integration in Smarten
  2. Geomaps: Workflow to create Default geomap

Forum Topics

  1. Email Settings : Can I use two factor SMTP account for outgoing emails from Smarten server?
  2. LDAP/AD : How to configure AD in Smarten

Predictive Usecases

  1. Handling Missing Values using Smarten Augmented Analytics

If you don’t find what you need in the Support Portal, we hope you will contact us with your questions, comments or suggestions. We are here to help and to support your business goals and success!

URL: Smarten Customer and Partner Community
Email: support@Smarten.com

Original Post : Smarten Support Portal Updates – December – 2021!

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Case Study – Smarten Augmented Analytics Implementation for SI Partner and its India Public Sector Credit Guarantee Client https://www.elegantjbi.com/blog/case-study-smarten-augmented-analytics-implementation-si-partner-india-public-sector-credit-guarantee-client.htm https://www.elegantjbi.com/blog/case-study-smarten-augmented-analytics-implementation-si-partner-india-public-sector-credit-guarantee-client.htm#comments Tue, 28 Dec 2021 18:07:12 +0000 https://www.elegantjbi.com/blog/?p=7963 Continued]]> This project was undertaken for a Smarten System Integrator Partner. The Smarten Partner is a leading system integrator for public and private sector organizations in India. This System Integrator (SI) has a wide network of consultants and technology experts through which they achieve and support a presence around the world, including the U.K., U.S. and India.

The SI Partner has a Client that is a wholly owned agency of the Government of India, and was created under the Ministries of Finance, to act as a common trustee company for multiple credit guarantee funds. The Partner’s Client required IT consulting for augmented analytics services and solutions, and the SI Partner requested assistance in delivering services to its Client.

The services and solution provided by the Smarten team ensured rapid access to information for the SI Partner team so that the SI Partner team was able to provide the necessary MIS service to governing authorities and effectively serve its internal MIS needs without downtime or a gap in services. The resulting analytical integration provided crucial, timely and clear data for fact-based decisions and supports flexible growth and scalability.

Smarten supported the SI Partner team throughout the project lifecycle as it served its Client and end users and the Client MIS needs and ensured that the team could leverage technology to help its governing authorities with required analytics. The solution provides adaptive and flexible augmented analytics to allow the Client to easily change processes and adapt to business and market changes. The Smarten solution is web-based, and provides a self-serve system that is affordable, dependable and scalable. The solution provides a comprehensive fit for this public sector Client and allows users to optimize data sources and centralize access to information at a reduced cost and time so users can easily and quickly deliver and use analytics for monitoring disbursement of loans and enable meaningful insight and decision support related to various schemes, loans and transactions.

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Embedded BI Improves User Adoption of Enterprise Apps! https://www.elegantjbi.com/blog/embedded-bi-improves-user-adoption-enterprise-apps.htm https://www.elegantjbi.com/blog/embedded-bi-improves-user-adoption-enterprise-apps.htm#comments Tue, 28 Dec 2021 08:41:18 +0000 https://www.elegantjbi.com/blog/?p=7955 Continued]]> embedded-bi-improves-tco-and-roi-of-enterprise-appsHow Embedded BI Can Add Value and Improve ROI for Enterprise Apps!

No matter your reason for investing in that business application, the investment was meant to improve the business, to make team members more productive, to act as a repository for important business data and to somehow improve the bottom line. But, the effectiveness and success of a software solution depends on more than its features and functionality. Yes, one must consider its ease of use too, but that’s not the point of our discussion today.

The real deciding factor for business application success is user adoption. Once the data is migrated or input, once the users are trained, the solution must be used as intended to complete tasks, to find information and to share with other users. If users do not adopt a software solution, it is typically because they don’t find it useful or because it is too difficult or cumbersome to use.

When we get past the training issues, we still have the issue of usefulness. A business user might know that her/his manager wants them to leverage the tool, and might do so begrudgingly, but perhaps not to the fullest benefit provided by the software.

BUT, if the user perceives that she or he can find what they are looking for and draw conclusions, get answers and make decisions that will advance their goals and help them complete tasks more quickly, more effectively and with confidence, they are much more likely to use and promote the software among their peers.

So, what can a business do to enhance the value of a software solution so that its team  members perceive the benefits? One thing in particular stands out, namely that they can add embedded BI tools to an enterprise app – tools that allow users to easily and quickly find concise information and use that information to make decisions, tools that provide a format and illustration that gives the team member information in a way that is meaningful to them. Embedded BI allows users to do more than view data in a system or look up some obscure data point. Team members can take the data in the system to another level and gain insight and clarity.

Furthermore, if the user can leverage familiar enterprise apps to gain access to embedded BI tools and augmented analytics, the user does not have to learn how to use yet another solution. They can use a single sign-on environment to login to the enterprise app and, from there, can analyze data contained within that application to achieve their goals, to collaborate with other users, to produce reports and to work more productively.

If you want to encourage your business users to employ data analytics and make analytics available within familiar enterprise applications, you can explore the advantages here: Embedded BI. Download our White Paper, ‘Making The Case For Embedded BI And Analytics.’

Original Post : Embedded BI Improves TCO and ROI of Enterprise Apps!

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Do I Really Want to be a Citizen Data Scientist? https://www.elegantjbi.com/blog/citizen-data-scientist.htm https://www.elegantjbi.com/blog/citizen-data-scientist.htm#comments Sun, 19 Dec 2021 19:14:39 +0000 https://www.elegantjbi.com/blog/?p=7951 Continued]]> what-the-heck-is-a-citizen-data-scientistSomeone Said I’m Now a Citizen Data Scientist!  Now What?

What do you have to know to be a Citizen Data Scientist? Who is the ideal candidate to be a Citizen Data Scientist? How does the whole Citizen Data Scientist thing work, anyway?

Let’s iron out the details!

First, let’s define the ideal candidate for the Citizen Data Scientist role. A Citizen Data Scientist is NOT a data scientist. The Citizen Data Scientist role is adopted by a business user or team member, and that team member does not need statistical or analytical skills or advanced technical skills. The ideal candidate is a respected member of the business community and may be a power user who likes learning new things. He or she probably likes using Excel and loves to solve problems. Citizen Data Scientist candidates understand the business and want to use analytics to gain more insight. They are curious and they like to collaborate. Which is good, because they will be collaborating with other users and will act as a liaison between data scientists, analysts and IT to champion the use of data and fact-based decision-making in the user ranks.

Next, let’s talk about what the Citizen Data Scientist will do. A business user in a Citizen Data Scientist role will use data integrated from numerous sources to access and analyze data in an augmented analytics solution. These solutions are sophisticated, yet easy enough for the average user to adopt, and they allow users to generate models and analysis and to use metrics and facts to make decisions, make recommendations and share data with other users.

But, the Citizen Data Scientist doesn’t have to do it alone. If and when there is a need for strategic refinement of data models, the Citizen Data Scientist can hand off models to data scientists or to IT to refine data for strategic use and to advance goals and objectives.

Lastly, we should spent a moment talking about benefits. If you are a candidate for the Citizen Data Scientist role, what’s in it for you? The use of augmented analytics, smart data visualization, assisted predictive modeling, self-serve data prep, and simple natural language processing (NLP) search analytics allows you to quickly ask questions and get answers in a way that makes sense to you and to your role. You can support day-to-day decisions, gain insight and perspective, hypothesize and prototype to test theories, improve business agility and producer models that are useful for monitoring and managing tasks and team objectives and projects and for ongoing analytics and measurements.

For more information on Citizen Data Scientist initiatives and how to successfully implement this type of initiative in your business, explore these Citizen Data Scientist Blog Publications.

If you are a prospective Citizen Data Scientist, you don’t have to do this alone! Contact Us to today or Click Here to explore training for Citizen Data Scientists, designed to help you succeed on your Citizen Data Scientist journey.

Original Post : What the Heck is a Citizen Data Scientist?

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What’s So Great About Augmented Analytics? https://www.elegantjbi.com/blog/whats-great-augmented-analytics.htm https://www.elegantjbi.com/blog/whats-great-augmented-analytics.htm#comments Thu, 16 Dec 2021 09:39:14 +0000 https://www.elegantjbi.com/blog/?p=7943 Continued]]> augmented-analytics-benefits-many-and-impressiveWhy I Won’t Stop Talking About Augmented Analytics!

What Are the Benefits of Augmented Analytics? Where Do I Start?

Those who know me are probably tired of hearing me talk about the benefits of Augmented Analytics. To them, I say, ‘I am sorry’. I am about to talk about it yet again. The reason is simple. Most businesses are either considering the addition of augmented analytics to democratize data, improve data literacy and create Citizen Data Scientists OR they are still unconvinced and feel that they are just fine. Either way, your business professionals and managers can use a primer on the benefits of augmented analytics, whether it is used to support their decision or to convince the team that augmented analytics should be pursued!

Let’s start here:

The world-renowned technology analyst firm, Gartner has rightly predicted that the number of Citizen Data Scientists will grow five times faster than the number of expert data scientists and that the automation of data science tasks will enable Citizen Data Scientists to produce a higher volume of advanced analysis than specialized Data Scientists. Gartner also predicts that, by 2025 a scarcity of Data Scientists will no longer hinder the adoption of data science and machine learning in organizations.

Here is an overview of just SOME of the benefits and advantages inherent in the implementation of Augmented Analytics:

  • Augmented Analytics benefits everyone in the organization – business users, data scientists, IT staff and the executive team. By providing secured access to data integrated from diverse data repositories, the business allows users to gather and analyze data, to spot trends, to identify issues and to pinpoint opportunities that will benefit the organization. This access allows for fact-based decision-making, collaboration and improved data literacy and allows users to easily, gather, integrate and analyze data.
  • Businesses that can gather data from disparate sources and use historical data to understand trends and patterns and forecast for the future can establish and sustain a competitive advantage and plan more effectively and accurately, avoiding missteps in the market and costly mistakes.
  • The business can establish and sustain a competitive advantage by democratizing data and allowing users to share and collaborate and to use data to make recommendations and decisions without guesswork and opinion.
  • Augmented Analytics is designed to encourage user empowerment and user adoption with tools like Self-Serve Data PreparationClickless AnalyticsSmart Data VisualizationAssisted Predictive ModelingAuto InsightsKey Influencer AnalyticsAnomaly Monitoring And Alerts and other user-friendly features that are sophisticated but designed for the average user skillset.
  • An Augmented Analytics solution is fast and easy to implement and requires little training to get your users started.

It really is just that easy! If you want to know more, you can explore here: Augmented Analytics Benefits

Original Post : Augmented Analytics Benefits (Many and Impressive)!

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4 Critical Features to Ensure Success with Mobile Analytics for Tally ERP! https://www.elegantjbi.com/blog/4-critical-features-ensure-success-mobile-analytics-tally-erp.htm https://www.elegantjbi.com/blog/4-critical-features-ensure-success-mobile-analytics-tally-erp.htm#comments Wed, 15 Dec 2021 07:05:57 +0000 https://www.elegantjbi.com/blog/?p=7932 Continued]]> 4-critical-features-to-ensure-success-with-mobile-analytics-for-tally-erpThe Tally ERP Solution is very popular with business users – accountants, finance professionals, inventory and purchasing managers and others. To take Tally to the next level, many organizations are integrating augmented analytics to enable insight, make fact-based decisions and allow accounting and finance professionals to add more value by making accurate, concise recommendations and suggestions to clients and team members so that the business can control expenses, understand and manage tax implications, improve supplier networks and purchasing workflow and optimize other processes.

In this article, we discuss four critical features to consider when integrating analytics with Tally ERP.

 

Designed for Business Users

The tools you provide for your business users should include Augmented Analytics, Business Intelligence and Reporting Integrated with the Tally ERP solution for easy access and intuitive use.  Users want easy-to-use tools that provide sophisticated insight into data using a myriad of value-added tools and features. Look for features that offer the ability to build a ‘story’ and review data in clear, concise visualization, dynamic charts and graphs, modern business intelligence features, and key performance indicators (KPIs) metrics to help you sustain a competitive edge.

Accessible from Within and Outside the Office

Today’s team members often work outside the office. They will want access to Tally ERP and to integrated analytics from desktops inside the walls of the office, from native mobile applications via Cloud server to fetch and display required data, graphs and reports and seamless security and privacy protection via web interface with built-in reporting available from anywhere.

Provides Comprehensive, Built-in Reporting

Your business professionals have a variety of needs. Look for built-in reporting that is designed for easy access and is formatted and available for any user so the accountant, finance pro, purchasing managers and others can choose the reports that are right for them and gain valuable insight into data across the enterprise. Overview Reports for Sales, Purchasing, Payables and Receivables, Income and Expenses, Cash and Banking, Duties, Taxes, Monthly Trends, Top and Bottom Analytics, Contribution Analysis, Cost Center Analysis, Ledgers, Account Statements, Tax and Statutory Reports, and Key Performance Indicators (KPIs) are important components of the most comprehensive picture of your business.

Offers User-Friendly Access to Analytics

Your business users do not want to learn a complex, augmented analytics software system with complicated features and analytical techniques. They want easy access to integrated analytics so they can quickly and easily perform analytics without a lot of training and effort. Remember, the accounting or finance professional is interested, first and foremost, in the data contained in the Tally environs. When you can integrate analytics and Tally ERP data, you give your users the tools to make confident decisions, improve workflow and business processes and help users add value to your business as professional consultants who bring together their professional knowledge, the data contained in the Tally ERP system and the analytics you need to understand and manage results.

4 Critical Features to Ensure Success with Mobile Analytics for Tally ERP

These are just a few of the considerations for integrating augmented analytics with Tally ERP. If you want to get more value out of your Tally ERP solution and optimize your resources and professional efforts, Contact Us for more information on SmartenApps For Tally.  For more information about integrating Augmented Analytics with Tally ERP, visit our Blog.

Original Post : 4 Critical Features to Ensure Success with Mobile Analytics for Tally ERP!

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How Embedded BI Can Benefit the Enterprise and Its Team Members! https://www.elegantjbi.com/blog/embedded-bi-benefit-enterprise-team-members.htm https://www.elegantjbi.com/blog/embedded-bi-benefit-enterprise-team-members.htm#comments Mon, 13 Dec 2021 14:35:43 +0000 https://www.elegantjbi.com/blog/?p=7928 Continued]]> how-embedded-bi-can-benefit-the-enterprise-and-its-team-membersThe trend toward analytics is growing globally. Even the smallest business is jumping on the bandwagon, and with good reason. With market changes, shifts in customer buying behavior and the need to spend wisely, businesses must make data-driven decisions if they are to be competitive and plan logically for growth.

But, when one considers the rate of user adoption for analytics, the results are discouraging. In a Gartner Analytics and BI Magic Quadrant customer reference survey, the average modern analytics and BI Adoption rate was estimated at 35%. Among the reasons for poor user adoption were the absence of self-serve BI capabilities, dependence on IT team, inflexibility of data silos, and lack of access to intuitive BI tools for deep dive, predictive and descriptive features.

If your business is considering the implementation of analytics to support data democratization and/or a Citizen Data Scientist initiative, there is no reason to be discouraged by the reported history of poor user adoption. With the right business intelligence and augmented analytics solution and the right approach, you can improve ROI, TCO and user adoption.

The key is to choose a solution and an approach that includes embedded BI and Application Programming Interface capabilities – Integration APIs. In this way, your users can access analytics from within familiar enterprise applications, mobile applications and even on websites, delivering crucial, timely data to users across the organization or to customers.

Here are just some of the benefits of this approach to augmented analytics:

  • Access to Embedded BI Objects from within Your Application leveraging features and functionality like Dashboards, Crosstab, Tabular, KPIs, Graphs, Reports, Clickless Analytics and more.
  • Flexible Deployment via public or private cloud, or enterprise on-premises hardware. Deploy anywhere!
  • Single Sign-On Access (SSO) using the same login credentials as those employed to access the business application.
  • Provide unique solutions and analytics integration without significant investment
  • Improve user adoption and ROI for BI investments
  • Support rapid implementation and deployment – quick, efficient and simple!
  • Provide embedded BI and access to timely data for public websites, to deliver crucial updates and analytics

If your business wants to leverage analytics and ensure user adoption rate, lower TCO and improve ROI with Embedded BI and Augmented Analytics,  Integration APIs provide intuitive, self-serve BI tools from within enterprise applications and public websites so you can put the power of facts, data and business insight in the hands of business users. With access to self-serve analytics from within familiar enterprise apps, BI adoption and use increases exponentially, so you can leverage all the benefits and advantages of augmented analytics.

Whether your business needs seamless BI and analytics access for team members, or you want to expand your own software product and improve your competitive status in the market, Smarten Embedded BI and Integration APIs holds the key to your success. For more information about how Augmented Analytics can support user adoption and business success, explore our white paper: Integrate Augmented Analytics and Digital Transformation to Achieve Continuous Business Improvement.

Original Post : How Embedded BI Can Benefit the Enterprise and Its Team Members!

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BI Tools with R Integration Make Users Happy! https://www.elegantjbi.com/blog/bi-tools-integration-users-happy.htm https://www.elegantjbi.com/blog/bi-tools-integration-users-happy.htm#comments Thu, 09 Dec 2021 09:46:23 +0000 https://www.elegantjbi.com/blog/?p=7921 Continued]]> r-integration-in-bi-tools-is-a-realityWhat is R Scripting and Why Do I Need it Integrated in My BI Tool?

Don’t you hate it when someone blurts out a mysterious term at a business conference and you are left to decide whether to reveal your ignorance by asking what they are talking about, or simply nodding your head and smiling as if you understand and agree? I hate it when that happens.

If you are a business person who is tackling the business intelligence solution environment, you are probably hearing a lot of those mysterious words and wondering how to make sense of all of it and decide on a solution that will give you the BI tools you need and give your users access to easy-to-use features and sophisticated analytics to improve the quality and timeliness of decisions.

The good news is that you don’t have to understand all the technical jargon in order to make a decision and choose a business intelligence solution. There are many features you’ll want and your IT consulting partner or IT team can help you understand how those features can be used and why they are important. One such ‘mysterious’ technology reference is R scripting and R integration. For business analysts, IT team members and data scientists, this concept may be old hat. For you, as a business professional without analytical experience, here’s what you need to know:

Choose a Business Intelligence solution that integrates seamlessly with R, (that’s a popular open source programming language and software environment for statistical computing). Your users can integrate any R script with input and output configuration both to and from R script and they will have access to a full suite of self-serve visualization and analytical tools to present and share results from R script in a report, on a dashboard, with interactive graphs, and in ad hoc reporting, cross-tab reports and key performance indicators (KPIs). The good news is that your users do NOT need extensive training or knowledge to leverage the R script integration. In a matter of minutes, a user can leverage forecasting, classification, clustering or any other statistical and predictive algorithms from R Script using self-serve visualization and reporting tools.

When your users have access to a BI tool that allows them to leverage R integration, they can build reports, make recommendations, present data and gain insight, all without the skills of a data scientist or an IT professional. That means you are much more likely to see positive user adoption results and to succeed in data democratization and data literacy initiatives. Integrating this type of functionality within your Business Intelligence Solution ensures that your users only have to go to one information source and dashboard to get what they need.

If your business wants a business intelligence solution that provides out-of-the-box functionality and application integration capability – one that can provide additional tools without requiring additional skills and investment – you can start here: ElegantJ BI Business Intelligence with R Integration.

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Add Analytics to Tally ERP and Watch What Happens! https://www.elegantjbi.com/blog/add-analytics-tally-erp-watch-happens.htm https://www.elegantjbi.com/blog/add-analytics-tally-erp-watch-happens.htm#comments Tue, 07 Dec 2021 06:16:35 +0000 https://www.elegantjbi.com/blog/?p=7912 Continued]]> analytics-makes-tally-erp-more-than-financial-software

Accountants and Finance Pros: Get the Most out of Tally ERP with Analytics!

What’s your role? Maybe you are an accounting professional, or a financial manager, or maybe you are a sales manager, someone in charge of purchasing for your business, or the person who manages inventory. No matter your role, if you deal with budget, overspending, supply shortages or any other aspect of the business affecting the budget, funding, spending and revenue, you know how important it is to stay on top of things.

If your business uses Tally ERP solutions, you may be entering data, printing and distributing reports, using the information in the system to track inventory and purchasing or, just about anything else. But, the problem with data is that it can often hide crucial trends and facts. You can see the columns and the numbers, you can print the statutory reports, but you can’t always apply your years of professional knowledge to that mound of data to spot issues or to help your colleagues or clients identify the next big thing.

Analytics Makes Tally ERP More Than Financial Software

Where are the opportunities? How can you use your limited resources to best leverage your products, your customer base, your competitive position? If you work with numbers in accounting or a finance-related position, you can add value by adding analytics to your Tally ERP solution. With built-in analytics that offer out-of-the-box reporting you can manage sales, purchasing, payables and receivables, income and expenses, cash and bank, duties and taxes, monthly trends and other categories and factors, using top to bottom analysis, contribution analysis and key performance indicators (KPIs) so you are managing with facts. You can explore sales and identify top customers, you can illustrate banking and cash results and compare historical time periods (all without having to dump data into an Excel spreadsheet), and make decisions based on fact-based analytics. You can spot trends in overdue collections, analyze inventory shortages, suppliers and shipping and distribution, and examine taxes, estimated tax obligations, cost centers and ledgers, account statements and reports that allow you to drill down and slice and dice by vendor product, service, cost, sales person, location, customer, inventory, purchasing, and more.

The benefit to you and to your clients and colleagues is a new kind of insight, going beyond data entry and dry, columnar reporting. Using clear visualization, dynamic charts and graphs and modern business intelligence tools, you can leverage KPIs and analytics to gain a competitive edge and add value and visibility for your individual position and your team.

If you are a Tally user, you can leverage powerful analytical tools to add value to your organization and take a proactive role in results. AND, your business can evaluate the solution for free. Find out more about SmartenApps For Tally analytics. Contact Us to today to find out how SmartenApps for Tally can help you achieve your goals.

Original Post : Analytics Makes Tally ERP More Than Financial Software!

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ElegantJ BI Embedded BI Solution Is Named as a Representative Vendor in Gartner 2021 ‘Market Guide for Embedded Analytics’, Published October, 2021 https://www.elegantjbi.com/blog/elegantj-bi-embedded-bi-solution-named-representative-vendor-gartner-2021-market-guide-embedded-analytics-published-october-2021.htm https://www.elegantjbi.com/blog/elegantj-bi-embedded-bi-solution-named-representative-vendor-gartner-2021-market-guide-embedded-analytics-published-october-2021.htm#comments Fri, 03 Dec 2021 05:41:09 +0000 https://www.elegantjbi.com/blog/?p=7906 Continued]]> Elegant MicroWeb is pleased to announce that its ElegantJ BI Embedded BI solution has been included as a Representative Vendor in the Gartner Market Guide for Embedded Analytics, published October 4, 2021 (ID G00748546).

CEO, Kartik Patel says, “We are proud to be recognized and included in the October 2021 Gartner Market Guide for Embedded Analytics. We feel that this recognition validates our team effort to continuously improve and upgrade our Business Intelligence and Augmented Analytics tools and solution and to provide cutting-edge technology in an intuitive interface designed for business users to support Citizen Data Scientist initiatives and data democratization.”

Smarten Embedded BI Solution Named as a Representative Vendor in Gartner Oct 2021 ‘Market Guide for Embedded Analytics’

The ElegantJ BI Embedded BI Tool is an easy-to-use tool designed to support business users and their use of embedded analytics within familiar enterprise applications, and to enable access to analytics and crucial, timely data for public websites and mobile applications.

“Our embedded BI tool is part of our Smarten Augmented Analytics solution, and is powered by the ElegantJ BI product,” says Patel. “The Embedded BI approach is designed to improve user adoption, lower TCO and improve ROI, and its integration APIs provide intuitive, self-serve BI tools from within enterprise applications to put the power of facts, data and business insight in the hands of business users.”

The ElegantJ BI Smarten Embedded BI solution is a crucial part of the Smarten augmented analytics suite and includes Smart Data VisualizationAssisted Predictive ModelingNatural Language Processing (NLP) And Search Analytics, with machine learning and many other sophisticated features.

Read more in the Gartner report: 2021 Market Guide For Embedded BI, Published 2021, October, (Gartner Subscription Required)
Source: Gartner, Market Guide for Embedded Analytics, James Richardson, Julian Sun, Kevin Quinn, 4 October 2021

Disclaimer: Gartner does not endorse any vendor, product or service depicted in its research publications, and does not advise technology users to select only those vendors with the highest ratings or other designation. Gartner research publications consist of the opinions of Gartner’s research organization, and should not be construed as statements of fact. Gartner disclaims all warranties, expressed or implied, with respect to this research, including any warranties of merchantability or fitness for a particular purpose.

About Smarten

The Smarten approach to business intelligence and business analytics focuses on the business user and provides Advanced Data Discovery so users can perform early prototyping and test hypotheses without the skills of a data scientist. Smarten Augmented Analytics tools include Assisted Predictive ModelingSmart Data VisualizationSelf-Serve Data Preparation and Clickless Analytics with natural language processing (NLP) for search analytics. All of these tools are designed for business users with average skills and require no special skills or knowledge of statistical analysis or support from IT or data scientists. Businesses can advance Citizen Data Scientist initiatives with in-person and online workshops and self-paced eLearning courses designed to introduce users and businesses to the concept, illustrate the benefits and provide introductory training on analytical concepts and the Citizen Data Scientist role.

Original Post : Smarten Embedded BI Solution Named as a Representative Vendor in Gartner Oct 2021 ‘Market Guide for Embedded Analytics’

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Insight and Perspective: The Gifts of Augmented Analytics! https://www.elegantjbi.com/blog/insight-perspective-gifts-augmented-analytics.htm https://www.elegantjbi.com/blog/insight-perspective-gifts-augmented-analytics.htm#comments Wed, 01 Dec 2021 06:01:36 +0000 https://www.elegantjbi.com/blog/?p=7901 Continued]]> augmented-analytics-provides-perspectiveAugmented Analytics: Insight Comes from Perspective!

Perspective is everything. You can stare at numbers and columns all day and never see the one nugget of information that will give you insight and help you solve a problem or find that one opportunity to drive the business to the next level. When you and your business users can leverage augmented analytics tools, without worrying about complex algorithms or writing code or designing reports, you can find those elusive nuggets of information and use them to improve your business results.

 

 

 

Key Influencer Analytics is a tool that allows your users to gather and analyze data to find those particular things that have the most influence on your success and to identify the target variables that matter most and understand the impact of those influencers so you can make adjustments or expand on your success.

Assisted Predictive Modeling takes forecasting to the next level with auto-recommendations and suggestions so users can find the simplest way to analyze and get recommendations on which predictive algorithms will best suit the type and volume of the data they are analyzing.

Smart Data Visualization lets a user dig in and clarify the root cause of a problem by interacting with data discovery tools that are easy to use. Your users can build a view using guided visualization so that they can best present the data based on data type, data volume and dimensions and the patterns and nature of the data.

Natural Language Processing (NLP) is familiar to all users. It is a Google-type interface that lets your users compose a question using common human language and get an answer in the same format, with no need to scroll through menus. The system presents results in the most appropriate form so users don’t have to wade through data and organize it themselves. Tools like Clickless Analytics and Auto Insights ensue that the system interprets the user request and the dataset and uses machine learning to deliver the best results using the best algorithm and technique to provide the best insight.

Anomaly Monitoring and Alerts allows users to see trends and anomalies and to map targets and focus on the things that have the greatest impact so they can adapt and develop successful strategies. Users can quickly analyze which variables have the greatest effect on target key performance indicators (KPIs).

If your business wants to gain insight and perspective and achieve a competitive advantage, using simple, Augmented Analytics tools, Contact Us today to get started.

Original Post : Augmented Analytics Provides Perspective!

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Solve the Right Problems with Key Influencer Analytics! https://www.elegantjbi.com/blog/solve-problems-key-influencer-analytics.htm https://www.elegantjbi.com/blog/solve-problems-key-influencer-analytics.htm#comments Tue, 30 Nov 2021 14:10:21 +0000 https://www.elegantjbi.com/blog/?p=7898 Continued]]> target-the-right-things-with-key-influencer-analyticsDo You Know What Key Influencer Analytics Can Do For Your Business?

What matters most in your business? Don’t say everything, because there is no way you can place strategic focus on every aspect of the business and, although all of your goals and objectives should be aligned, there are, in fact, a smaller number of things hidden within your business that will impact your success if they are not attended to and that will give you the most benefit if you spend a bit more time organizing and planning activities and business processes around these things.

But, how does a business find those few key items that can provide the most benefit?

One of the most frustrating things a business has to do is to find and analyze data in a way that is meaningful to the management team and the business users, so that they can consider the factors, variables and data that may affect the outcome of decisions. Without the ability to identify the right variables, the business is likely to measure and attend to the wrong things.

Key Influencer Analytics puts the power and clarity of targeted analytics in the hands of business users. Team members with average skills can leverage these tools with ease. A user can simply point to the dataset they want to analyze and the Key Influencer Analytics tool identifies the target and the influencers or predictors that will affect that target, along with its impact and it provides crucial metrics such as mean, outliers, and others and identifies relationship and distribution among variables. The solution will auto-suggest relationships and present distribution and impact using the most appropriate visualization. The solution includes interactive features that allow users to see and explore other combinations and impacts and can select target and predictors, and use them for models, reports or KPIs.

With this type of tool, team members can perform analytics and find key influencers on their own without the assistance of a data scientist or an IT team member, so their business processes and workflow will not be interrupted or delayed. Your business can find and address what matters most within the data, understand the impact and the interdependence of variables and target these variables with auto-suggestions that will result in timely and effective action and outcomes.

If you want to encourage your business users to employ data analytics and find those hidden aspects of your business that will reap the most benefit, explore the advantages of Key Influencer Analytics.

Original Post : Target the Right Things with Key Influencer Analytics!

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Smarten Support Portal Updates – November – 2021! https://www.elegantjbi.com/blog/smarten-support-portal-updates-november-2021.htm https://www.elegantjbi.com/blog/smarten-support-portal-updates-november-2021.htm#comments Thu, 25 Nov 2021 06:00:14 +0000 https://www.elegantjbi.com/blog/?p=7894 Continued]]> smarten-support-portal-updates-november-2021We invite you to explore our latest knowledgebase articles and to join the Smarten user community on Smarten Support Portal.

If you have not registered yet, Click Here to obtain your login credentials.

 

 

 

 

 

 

Knowledgebase Articles

  1. Functions & Expressions : Summary on Crosstab with multiple Row and Column dimensions
  2. Dashboards: Improve dashboard loading performance for dashboards with multiple objects

Forum Topics

  1. Functions & Expressions :How to use summary functions and it’s variations on different scenarios?
  2. Dashboards: How to improve the dashboard loading time in Smarten?

Training Usecases

  1. Create Custom column values from the dataset

If you don’t find what you need in the Support Portal, we hope you will contact us with your questions, comments or suggestions. We are here to help and to support your business goals and success!

URL: Smarten Customer and Partner Community
Email: support@Smarten.com

Original Post : Smarten Support Portal Updates – November – 2021!

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Handling Multicollinearity using Smarten Augmented Analytics! https://www.elegantjbi.com/blog/handling-multicollinearity-smarten-augmented-analytics.htm https://www.elegantjbi.com/blog/handling-multicollinearity-smarten-augmented-analytics.htm#comments Wed, 24 Nov 2021 09:39:13 +0000 https://www.elegantjbi.com/blog/?p=7880 Continued]]> handling-multicollinearity-using-smarten-augmented-analytics1.    The more the merrier, but the fewer the better!

Often, it’s difficult to determine the impact of an individual influencer on the response variable when multiple influencing factors have more or less the same influence. Let’s streamline this with a realistic example. Say for instance, we want to examine a child’s weight based upon various influencing factors including child’s height and age. It becomes evident that as children grow older, they get taller! Hence, both height as well as age are highly correlated in determining child’s weight. So, this case study has indeed a multicollinearity problem!

2.    Remove Collinearity, Remove Redundancy

Multicollinearity exists in regression analysis when one or more independent variables are highly correlated with each other making it difficult to distinguish their individual impact on the outcome variable in turn undermining the statistical significance of the correlated variable upon response variable. In layman’s terms, independent variables must be “independent” of each other and not correlated with each other for regression analysis. The key motive of regression is to isolate the relationship between each independent variable and dependent variable.

remove-collinearity-remove-redundancy

In best case scenario, the regression coefficient interprets change in dependent variable (i.e., Y) with a unit change in independent variable (i.e., Xi), holding all the other independent variables as constant. However, when the independent variables are highly correlated, it indicates that the changes in one variable are associated with changes in other correlated variables, making it difficult to estimate independent relationships of variables with the target. So, a big challenge is to deal with collinearity maintaining independence of each attribute!

3.     Smarten Assisted Predictive Modelling: Take the Guesswork out of Planning!

Every organization must plan and forecast results. If the enterprise is to succeed, it must strive for accuracy and identify trends and patterns in the market and industry that will help it to predict future results, plan for growth and capitalize on opportunities. Smarten Insight provides predictive modeling capability and auto-recommendations and auto-suggestions to simplify use and allow business users to leverage predictive algorithms without the expertise and skill of a data scientist.

4.     Handling Multicollinearity in Regression Analysis using Smarten

Having knowledge upon the consequences of Multicollinearity, both in terms of statistical as well as predictive inferences made from regression analysis, it becomes crucial to get rid of it at a preliminary stage before processing our regression model. One of the straightforward yet effective ways to deal with this problem is to remove the highly correlated predictor variables and retain a single independent variable corresponding to all the correlated variables based upon its feature importance in predicting the outcome.

Let’s take a look at the process bit by bit…

4.1.       Ultimately, how much sales happens is what matters!

Predictive sales analytics plays critical role in maximizing productivity of any business. Moreover, it brings great relief to companies working with sales. Often there are too many items of one product on stock creating risk not to have enough space for other goods or to be forced to sell at a discount. On the contrary, the sales fall when the items are too few. Prediction of future sales allows them to avoid these problems and make better decisions. Product’s selling price relies on number of factors such as the product category, brand name, sales quantity of the product, cost of goods while making the product, marked price, gross sales to name a few. Predicting product sales thus becomes a crucial exploration and it would be rather interesting to relate multicollinearity phenomenon with this use case using Smarten Assisted Predictive Modelling!

4.2.       If we have data, let’s look at it!

Any kind of analysis initiates by looking upon the data. Keeping a note that we already have a predefined dataset uploaded to Smarten, let’s view the product sales dataset and understand the effect of multicollinearity in predicting the sales price of a product. 

product-sales-price-prediction-dataset

Product Sales Price Prediction Dataset 

 

SalesPrice hereby represents a continuous variable indicating the selling price of the corresponding product. The remaining columns (i.e., ProductCategory, ProductName, SalesQty, CostofGoods, ListPrice, Date and GrossSales) represents the factors based upon which one can make their optimal predictions. One can explore this problem statement of predicting the sales price based upon influencing factors as a regression analysis with SalesPrice being the target variable.

4.3.            Create a fresh New Smarten Insight  

Go to New -> SmartenInsight Menu in the dropdown provided in the top right corner of the Smarten Dashboard.

creating-a-new-smarten-insight
Creating a new Smarten Insight

 

4.4.        Select the Data to perform exploratory analysis upon

Let’s choose Product Sales Price Prediction dataset for our analysis purpose followed by clicking the NEXT button to proceed for further actions.

selecting-product-sales-price-prediction-dataset-to-perform-analysis
Selecting Product Sales Price Prediction dataset to perform analysis

 

4.5.      Perform Sampling or Filtering if required

For our current objective to deal with the multicollinearity aspect in regression analysis, let’s consider the entire data passed and understand the results. Click the Next icon to jump to the preceding step.

amount-of-dataset-for-analysis-to-be-considered-option

Amount of Dataset for Analysis to be considered option

 

4.6.        Perform Data Pre-processing steps if requisite and click Next

data-pre-processing-using-smarten
Data pre-processing using Smarten

 

4.7.         Now we are all set to perform Regression Analysis for our sales data

On selecting the regression algorithm for our SmartenInsight, Smarten is automated to suggest its users with apt target and corresponding influencing predictors, moreover providing flexibility to alter the suggested target or predictors in order to perform requisite exploratory analysis.

selecting-regression-as-algorithm-technique
Selecting Regression as algorithm technique

 

4.8.           And here we go! We are ready with required target and predictors

From the below screen, it can be inferred that SalesPrice is our target variable and ListPrice, GrossSales and ProductName being the encouraged influencing predictors as well as recommended predictors exhibiting multicollinearity effect as auto suggested by Smarten.

auto-handling-of-multicollinearity-in-smarten-insight
Auto-Handling of Multicollinearity in Smarten Insight

 

4.9.        Too many cooks spoil the broth

It becomes evident from the screen above that a product’s gross sales is highly correlated with the sales quantity as well as cost of goods with correlation scores as high as 0.89 and 0.81 respectively. A sage insight can be hereby drawn that gross sales (i.e., the grand total of the sale transaction for a product) is highly dependent upon the quantity of sales of that product over period of time. Hence, more the sales quantity for a product, clearly more will be the gross sales. Furthermore, the cost of goods for making the product also exhibit high multicollinearity with its gross sales. Let’s consider our product for sales be Chinese noodles. More the cost of goods (here say more variety of sauces, pepper, veggies, beans etc.) included in making the dish, more appetizing the noodles will be encouraging more gross sales of the product. In order to obtain better estimation for the regression model, we must remove the multicollinearity effect from it by dropping one of the highly correlated variables from the pairs obtained as either one almost has the same impact on our target variable (i.e., SalesPrice). For our current examination of predicting a product’s sales price, product sales quantity and cost of goods, as a consequence of the multicollinearity effect, have been removed from our regression analysis. Smarten automatically computes each predictor’s feature importance in predicting the outcome and drops the lesser important features (marked in red in the table shown above) with multicollinearity to obtain satisfactory regression analysis outcome.

Original Post : Handling Multicollinearity using Smarten Augmented Analytics!

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Combine Tally ERP and Analytics and Be Proactive! https://www.elegantjbi.com/blog/combine-tally-erp-analytics-proactive.htm https://www.elegantjbi.com/blog/combine-tally-erp-analytics-proactive.htm#comments Tue, 23 Nov 2021 09:00:57 +0000 https://www.elegantjbi.com/blog/?p=7874 Continued]]> add-analytics-to-tally-erp-and-make-your-finance-pros-happyCan Adding Analytics to Tally ERP Help My Accounting and Finance Professionals?

If you are an accountant or a finance professional, you may be frustrated by the fact that your seat at the table often comes too late in the game for you to make a difference. If your role is limited to statutory reporting or producing reams of columns and reports for business colleagues and then trying to explain them, if your ability to affect a problem in a timely manner is limited, if you are always seeing the real picture in the rear view mirror, you might want to think about integrating analytics within your accounting and finance solution.

For Tally ERP solutions users, this addition is much easier today. Business users can leverage the Tally ERP solution AND produce out-of-the-box reports that will provide insight into trends and patterns, and analytical views that allow you, as a business professional, to intelligently assess what is happening without having to guess at what WILL happen.

Why is data analytics important? What could data tell you if you could see it in near real time?

 

combine-tally-erp-and-analytics-and-be-proactive

Your team can use Sales and Purchasing, Bank and Cash, Payable and Receivable, Inventory, Tax, Cost Center, Ledger, Account Statements, Drill Down, KPIs, Reports and Overviews to find data and to gain insight into what is really going on in the business – and you can use that data to recommend actions and advise your colleagues and clients. Seamless search options and text searches throughout the Tally app allow you to gather information and see it in a way that is meaningful to you, so you aren’t just doing data entry and reporting. You can find behavioral patterns, employ continuous monitoring and answer complicated tax questions and you can assess investment scenarios. You will be actively participating in business decisions. This proactive involvement will help to ensure improved productivity and to mitigate missteps and backtracking in the business.

It will make your job easier and more rewarding AND it will improve business results and provide the visibility and the seat at the table that your professional and business function deserves.

If you are a Tally user, you can leverage powerful analytical tools to add value to your organization and take a proactive role in results. AND, your business can evaluate the solution for free. Find out more about SmartenApps For Tally analytics. Contact Us to today to find out how SmartenApps for Tally can help you achieve your goals.

Original Blog : Add Analytics to Tally ERP and Make Your Finance Pros Happy!

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What’s Predictive Analytics All About and Why Should I Care? https://www.elegantjbi.com/blog/whats-predictive-analytics-care.htm https://www.elegantjbi.com/blog/whats-predictive-analytics-care.htm#comments Tue, 16 Nov 2021 20:23:40 +0000 https://www.elegantjbi.com/blog/?p=7871 Continued]]> dont-be-afraid-to-try-predictive-analytics-its-easyWhy Sasha Doesn’t Need to Fear Predictive Analytics!

My friend Sasha asked me about Predictive Analytics (knowing it was my favorite subject). Like most other business people, Sasha has a lot of professional knowledge but no exposure to analytics and the concept of Predictive Analytics is frightening and foreign to her. If your business team wants to up its game and get into predictive analytics, it really isn’t that hard. You can select an augmented analytics tool that allows your business users to leverage these features without a data science or business analyst background.

There are lots of predictive analytics techniques and all of these will be at your fingertips within an easy-to-use augmented analytics environment so your team will not be intimidated. Techniques include:

  • Time Series Forecasting (Holt Winters, Single, Double, Triple, Box Jenkins, ARIMA and ARIMAX)
  • Regression (Simple and Multiple Linear)
  • Classification (Naïve Bayes, Decision Tree, K-Nearest Neighbor, Multinomial Logistic Regression, Binary Logistic Regression and Support Vector Machine)
  • Association (Frequent Pattern Mining)
  • Correlation (Spearman and Karl Pearson)
  • Clustering (K Means and Hierarchical)
  • Hypothesis Tests (One-Way Anova, Paired T-Test, Independent T-Test, Chi-Squared Test)
  • Descriptive Statistics (Mean, Median, Mode, Standard Deviation, Variance, Quartiles, Percentiles, Skewness and Kurtosis)

You can use these techniques for quality control, fraud mitigation, customer churn, demand planning, product and service cross-selling, maintenance management, customer targeting, loan approval, marketing optimization, online target marketing, analysis of external data, and student assessments, just to name a few things. If you are a business professional and you can see an application in your own role for these types of tools, you don’t have to be afraid of the idea of predictive analytics. Let the augmented analytics solution do the work for you and show you the results in a way that is meaningful to your role.

It really is easy! If you want to know more, you can explore here: Predictive Analytics Use Cases, or contact us to find out how simple Predictive Analytics can be!

Original Post : Don’t Be Afraid to Try Predictive Analytics. It’s Easy!

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3 Ways Business Users Can Benefit from Tally Mobile Analytics! https://www.elegantjbi.com/blog/3-ways-business-users-benefit-tally-mobile-analytics.htm https://www.elegantjbi.com/blog/3-ways-business-users-benefit-tally-mobile-analytics.htm#comments Tue, 16 Nov 2021 13:38:37 +0000 https://www.elegantjbi.com/blog/?p=7865 Continued]]> 3-ways-business-users-can-benefit-from-tally-mobile-analyticsTally ERP Solutions are popular with users, especially in India. Whether you are an accounting, finance, purchasing or other related professional, you are probably using this software for data entry and reporting. These tools are an integral part of your day and your role. In this article, we discuss, three of the ways in which business users can benefit from adding mobile analytics to the Tally environment.

Providing Critical Insight

No matter what role you play in your organization, it is sometimes hard to use the data you enter or the data in your reports to gain any meaningful insight. You may be able to draw some simple conclusions (like increases vs. decreases in revenue) but to spot trends, patterns, issues or opportunities, you might need to engage the expertise of a data scientist, an analyst or an IT professional. These individuals can take information from your system and drop it into an Excel spreadsheet or an analytical system and will, hopefully, be able to provide crucial information to support your decisions. In a perfect world, business users can leverage their own domain and industry knowledge to test theories, hypothesize and report in a way that tells a story and leads them to make confident decisions. Integrating analytics with the Tally solution allows the professional to take the data already in the system and use pre-built reports and tools to dive deep into data and create a picture of the business that will provide real insight into how the business is doing. These data-driven explorations allow users to identify issues before they create a real problem and to use information to move the business forward.

Adding Value to Your Role

If you are an accounting or finance-related professional, you can use integrated analytics to take the data in the Tally ERP system to the next level. By understanding the issues and gaining insight you can add value in your practice and in advising your clients. Going beyond data entry and statutory reporting allows you to make recommendations that will provide real value to your clients and colleagues and will expand your role and enhance your professional visibility and reputation. When a business user can leverage sophisticated analytics in a simple environment, there is no need for additional training. Your own professional expertise is leveraged and combined with the data to provide real insight and allow you to quickly and easily add value by drawing the right conclusions and leading your clients and colleagues to the most effective decision.

Improving Collaboration

With integrated analytical tools, all accounting and finance professionals can work within their own role AND collaborate with others to achieve a comprehensive picture of the business, its investments, its tax obligations, its product results, the efficiency of its supplier network, the efficacy of its purchasing strategy and more. Rather than focusing on an individual aspect of business results, and limiting your vision to a single ‘silo’, your professional teams can work together to create and manage a complete picture of the business that will optimize investments, revenue and resources.

3-ways-business-users-can-benefit-from-tally-mobile-analytics-screenshot

This article describes three of the many reasons a business should consider integrating analytics with the Tally ERP solution to improve results and streamline workflow, supplier networks, tax planning and other related activities.

If you are a Tally user and you wish to explore the benefits of analytics for your professional team, start here: SmartenApps For Tally. For more information about Tally analytics for accounting and financial applications, visit our Blog.

Original Blog : 3 Ways Business Users Can Benefit from Tally Mobile Analytics!

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How Can My Team Use GeoMapping BI Tools? https://www.elegantjbi.com/blog/team-geomapping-bi-tools.htm https://www.elegantjbi.com/blog/team-geomapping-bi-tools.htm#comments Thu, 11 Nov 2021 16:00:02 +0000 https://www.elegantjbi.com/blog/?p=7863 Continued]]> is-geomapping-something-my-business-needsWhy Does My Business Need BI Tools with GeoMaps?

So, you’ve got yourself a BI tool! That’s great news. Hopefully, that business intelligence solution includes all the features your business users need to easily gather and analyze data and make recommendations and suggestions, make decisions and fulfill their responsibilities in a way that supports your corporate goals and objectives. While your business may not think it needs all the bells and whistles, there are many hidden benefits to features and tools. Take for example, GeoMapping.

Your organization and business users may not immediately see an application for GeoMaps within the parameters of its work processes and decision-making, but every business deals with issues that relate to location, geographic areas, planning and analysis of what is happening right now.

With GeoMap support, your users can enhance their use of BI tools, leveraging Geo Data and displaying data within an interactive GeoMap. Using this simple tool, team members can analyze data for any location, and define geographic areas with support for drill down, spot lighter and other features. These features integrate seamlessly with business intelligence dashboards with User Interface (UI) compatibility on all devices including tablets, smart phones and other mobile devices, so users have access to this type of data analysis in the office and on the road.

Perhaps your business includes shipping and distribution or tracks security guard or trucking routes, on-time distribution, local services, or maybe you are interested in locations for sales, weather, media coverage or any other facet of business that incorporates location or geographic positioning. GeoMapping can help your team members analyze results, find patterns and solve problems.

If your business wants to use business intelligence tools in creative and meaningful ways, look for a solution that provides GeoMapping, deep dive features and other functionality that will allow your team to be empowered, accountable and effective.

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How Can My Business Use Citizen Data Scientists? https://www.elegantjbi.com/blog/business-citizen-data-scientists.htm https://www.elegantjbi.com/blog/business-citizen-data-scientists.htm#comments Wed, 10 Nov 2021 14:54:45 +0000 https://www.elegantjbi.com/blog/?p=7845 Continued]]> getting-to-know-the-citizen-data-scientist-roleCan I (or my team) Handle the Citizen Data Scientist Role?

If you are a business owner or a business team member who has been asked to consider the Citizen Data Scientist role, you may be wondering how it all works and whether you (or your team member) can handle the new role.

First, let’s say that Citizen Data Scientists are not business analysts or data scientists. They are business users with domain, market or professional skills who will benefit from using data analytics. The ideal Citizen Data Scientist is a person who is respected in the enterprise, one who shares data and information with others to collaborate and product positive outcomes and one who is curious and likes learning new things. Citizen Data Scientists can be champions within the organization to spread the word and become role models for other team members so that, over time, the business can cascade this approach to all business users and achieve successful user adoption, improve data literacy and engender digital transformation.

Citizen Data Scientists may be IT team members who are interested in data science, or they may be candidates who have an interest in learning data analytics or are power users of other software and like to use technology. Whatever the profile within your business, team members who adopt augmented analytics and use these interactive tools to perform analytics, present data and make decisions can move business processes forward with fact-based decisions and recommendations and improve the quality of these decisions, thereby avoiding missteps. These tools are designed for business users so they can be used daily to perform tasks.

If and when analysis must be refined for strategic purposes, or to further test theories and conclusions, Citizen Data Scientists can work with IT or data scientists to advance the initial analytics and analysts, data scientists or IT can create use cases, and refine the data analysis for use in strategic planning and to address problems that require 100% accuracy.

The Citizen Data Scientist approach is crucial to sustained competitive advantage and to nurturing human resource assets, improving productivity and making the right decisions at the right time. Businesses and users can get ahead of the curve in the market and enable true collaboration.

For more information on Citizen Data Scientist initiatives and how to successfully implement this type of initiative in your business, explore these Citizen Data Scientist Blog Publications.

If you are a prospective Citizen Data Scientist, you don’t have to do this alone! Contact Us to today or Click Here to explore training for Citizen Data Scientists, designed to help you succeed on your Citizen Data Scientist journey.

Original Post : Getting to Know the Citizen Data Scientist Role!

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Small and Medium Sized Businesses (SMEs) Needs Self-Serve Advanced Analytics! https://www.elegantjbi.com/blog/small-medium-sized-businesses-smes-self-serve-advanced-analytics.htm https://www.elegantjbi.com/blog/small-medium-sized-businesses-smes-self-serve-advanced-analytics.htm#comments Wed, 10 Nov 2021 09:04:26 +0000 https://www.elegantjbi.com/blog/?p=7839 Continued]]> small-and-medium-sized-businesses-smes-needs-self-serve-advanced-analyticsIf your small or medium sized (SME) business is looking for ways to improve forecasting, problem solving and market opportunities, it must have an agile, swift analytical process that will allow business users to leverage their role, their knowledge of their business function and their collaborative initiatives to gather, analyze and share information and improve business results.

A recent Gartner report states that, natural language processing and conversational analytics will boost analytics and business intelligence adoption from 35% of employees to over 50%, including new classes of users, particularly front-office workers. When one considers the impact of this cultural and workflow transition, it is easy to see how small and medium sized businesses might feel overwhelmed by the pressure to keep up!

If an SME wants to remain competitive in its market of choice; if it wishes to attract and retain the best resources; if it wishes to inspire data literacy and make the most of its business users by transforming them into Citizen Data Scientists, its senior executives, CIOs, IT staff and analytical teams must plan for the implementation (or upgrade) of augmented analytical tools that are suitable for every business user.

 

Infographic

 

A fact-based, data-driven analytical approach will ensure that the business can identify and capitalize on business opportunities, plan for new products, optimize processes and resources and target customers, investments and locations that will help the business to achieve results.

Fortunately, the self-serve advanced analytics market now provides visual-based data analytics like Smart Data Visualization that help the user to choose the right visualization technique for the data they wish to analyze. Other features like assisted predictive modeling enable a business user to leverage guidance to choose sophisticated algorithms and techniques and use these techniques and intuitive tools to perform analytics.

Machine learning, natural language processing (NLP) and simple search analytics allow users to ask questions, test theories and get information in a simple, natural language environment so the users are not required to understanding programming or analytical techniques to achieve results. Self-serve data preparation is simple enough for every user and allows team members to select data from an integrated data environment and prepare that data for analysis, all without the help of the IT team. This type of environment will free the IT and data science team members to focus on strategic, critical projects.

The self-serve, augmented analytical approach enables SMEs to visualize and explore relationships and patterns and gain insight into the root cause of problems, and the interrelationships of processes, tasks and activities. These tools will guide business users and ensure appropriate, secured data access and data governance, so an SME can make the most of data and use clean, reduced data to inspect, test, and validate theories, identify thresholds and plan for the future.

By giving business users this power and access, the SME can do more with less (in financial and human resource investment) and advance the interests of the organization, ensure user adoption and control costs.

Original Post : Small and Medium Sized Businesses (SMEs) Needs Self-Serve Advanced Analytics!

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Smarten Support Portal Updates – October – 2021! https://www.elegantjbi.com/blog/smarten-support-portal-updates-october-2021.htm https://www.elegantjbi.com/blog/smarten-support-portal-updates-october-2021.htm#comments Tue, 02 Nov 2021 15:17:34 +0000 https://www.elegantjbi.com/blog/?p=7835 Continued]]> smarten-support-portal-updates-october-2021We invite you to explore our latest knowledgebase articles and to join the Smarten user community on Smarten Support Portal.

If you have not registered yet, Click Here to obtain your login credentials.

 

 

 

 

 

 

Knowledgebase Articles

  1. Functions & Expressions : Summary on Crosstab with only one row and column dimension
  2. SSDP: Improving performance for fetching data from the database

Forum Topics

  1. Functions & Expressions :How to use summary functions and it’s variations on different scenarios?
  2. Datasource: When I create a dataset from CSV / Excel files using upload file from my desktop option, do I have to upload it every time when there are any changes in the file?

Predictive Usecases

  1. Handling Multicollinearity using Smarten Augmented Analytics

If you don’t find what you need in the Support Portal, we hope you will contact us with your questions, comments or suggestions. We are here to help and to support your business goals and success!

URL: Smarten Customer and Partner Community
Email: support@Smarten.com

Original Post : Smarten Support Portal Updates – October – 2021!

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What is Embedded BI and Why Does Your Business Need it NOW? https://www.elegantjbi.com/blog/embedded-bi-business-now.htm https://www.elegantjbi.com/blog/embedded-bi-business-now.htm#comments Tue, 02 Nov 2021 07:42:43 +0000 https://www.elegantjbi.com/blog/?p=7832 Continued]]> do-you-know-why-embedded-bi-is-right-for-your-businessEmbedded BI and Augmented Analytics WILL Improve User Adoption, ROI and TCO!

Have you heard of Embedded BI? Do you know what it is? If not, your business is missing a lot. Embedded BI provides a lot of potential for your business to enable Citizen Data Scientist initiatives and data democratization, improve data literacy across the enterprise and make better business decisions.

The biggest issue businesses face when they try to implement data analytics across the organization is one that involves existing business culture and the willingness of users to change the way they work and to adopt new tools. Many users are intimidated by BI tools and augmented analytics because they think they are too difficult to use and that they will get lost in a sea of data and complex tools and commands. They may have friends in other companies who have told them about their own experience with trying to use solutions that are deemed to be self-serve but are actually too restrictive and difficult for the average business user to understand and adopt.

A Gartner Analytics and BI Magic Quadrant customer reference survey found that the average modern analytics and BI Adoption rate was 35%. There are numerous reasons for poor user adoption including the absence of self-serve BI capabilities, dependence on IT team, inflexibility of data silos, and lack of access to intuitive BI tools for deep dive, predictive and descriptive features.

If you want to improve the user adoption rate, lower TCO and improve ROI you can achieve these goals with Embedded BI and Augmented Analytics. Integration APIs provide intuitive, self-serve BI tools from within enterprise applications and public websites so you can put the power of facts, data and business insight in the hands of business users. With access to self-serve analytics from within familiar enterprise apps, BI adoption and use increases exponentially!

You can deploy seamless integration of Augmented Analytics and Business Intelligence Objects with easy to use, scalable integration APIs. Enable integrated business intelligence where you need it, with simple, easy-to-use analytics integration within enterprise and business applications in a single sign-on environment so tea members can use augmented analytics from within their enterprise applications or mobile apps. Engender business intelligence data democratization and alleviate user frustration with real business user solutions and deep dive capabilities. Provide user access within their favorite applications to improve user adoption of business intelligence tools, and engender collaboration, data sharing and fact-based decisions.

Whether your business needs seamless BI and analytics access for team members, or you want to expand your own software product and improve your competitive status in the market, Smarten Embedded BI and Integration APIs holds the key to your success.

If your business wants to leverage Embedded BI And Integration APIs to achieve swift, dependable results in the business user community, Contact Us today to get started.

Original Post : Do You Know Why Embedded BI is Right for Your Business?

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White Paper: A Roadmap to ROI and User Adoption of Augmented Analytics and BI Tools https://www.elegantjbi.com/blog/white-paper-roadmap-roi-user-adoption-augmented-analytics-bi-tools.htm https://www.elegantjbi.com/blog/white-paper-roadmap-roi-user-adoption-augmented-analytics-bi-tools.htm#comments Tue, 02 Nov 2021 06:08:51 +0000 https://www.elegantjbi.com/blog/?p=7828 Continued]]> When choosing a BI tool and augmented analytics solution for your business, one of the most crucial concerns is the features and functionality of the prospective solution and how this solution will meet user and organizational needs. It is important to remember that there are also specific features a business should consider, like embedded BI and easy-to-employ Integration APIs, that will assure user adoption and appropriate ROI and TCO.

download-whitepaper

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White Paper: Making the Case for Embedded BI and Analytics https://www.elegantjbi.com/blog/white-paper-making-case-embedded-bi-analytics.htm https://www.elegantjbi.com/blog/white-paper-making-case-embedded-bi-analytics.htm#comments Thu, 28 Oct 2021 14:56:32 +0000 https://www.elegantjbi.com/blog/?p=7819 Continued]]> When a business considers business intelligence and augmented analytics initiatives, it should include Embedded BI and Integration APIs to improve ROI, TCO and user adoption. If an enterprise does not understand the risks of data silos, and restrictive analytics solutions, it is not likely to make the right choices. With appropriate planning and execution, businesses can create a solid foundation, and provide benefits for all users, managers and IT staff.

 

download-whitepaper

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Increase Team Member Value with Augmented Analytics! https://www.elegantjbi.com/blog/2021/10/26/increase-team-member-augmented-analytics/ https://www.elegantjbi.com/blog/2021/10/26/increase-team-member-augmented-analytics/#comments Tue, 26 Oct 2021 09:27:11 +0000 https://www.elegantjbi.com/blog/?p=7810 Continued]]> augmented-analytics-leverages-business-user-time-and-skillMake the Most of Your Team Member Skills with Augmented Analytics!

Every business owner and manager understands the problem of limited resources. Today, you have fewer team members and you must do more to compete in the market. To enhance productivity and collaboration and ensure that every team member is making better decisions, it is wise to implement augmented analytics within your organization.

With the right augmented analytics tools, business users can participate in a culture of continuous improvement, identify issues, solve problems, target opportunities and mitigate guesswork and opinion by making fact-based decisions.

If you want to make the most out of your business users and your resources, give them the right tools! These business users do not need to be data scientists or IT professionals to leverage an augmented analytics solution. Instead, they can combine their market, domain and professional knowledge with data integrated from data sources across the enterprise to explore, theorize and test hypotheses – all with average technical skills.

If your business commits to a cultural shift to democratize data across the enterprise, it can improve data literacy and encourage the use of data in staff meetings and to support recommendations and suggestions, so that business users understand that the organization itself it making a commitment to facts and to data-driven processes and workflow.

Business team members are often stressed with extra workload and bogged down by organizational bureaucracy.  By providing easy-to-use, intuitive tools, the organization can make a team member job easier, clarify issues and help them complete tasks and activities more quickly and without guessing whether the outcome will be successful. Tools like self-serve data preparation, smart data visualization and assisted predictive modeling are supported by technology that allows business users to leverage sophisticated tools without the skills of a data scientist. Machine Learning and Natural Language Processing (NLP) support ease-of-use and allow simplified search analytics and completion of tasks.

If you want to make encourage your business users to employ data analytics and improve the quality of decisions and shared information, Contact Us to get started with Modern Business Intelligence and Augmented Analytics tools.

Original Post : Augmented Analytics Leverages Business User Time and Skill!

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4 Benefits of Mobile Analytics for Tally ERP Solution! https://www.elegantjbi.com/blog/4-benefits-mobile-analytics-tally-erp-solution.htm https://www.elegantjbi.com/blog/4-benefits-mobile-analytics-tally-erp-solution.htm#comments Thu, 21 Oct 2021 15:32:28 +0000 https://www.elegantjbi.com/blog/?p=7806 Continued]]> 4-benefits-of-mobile-analytics-for-tally-erp-solutionIf your business is using Tally ERP, your team members have access to tools that support their roles in every aspect of accounting and finance. Whether a user is focused on purchasing, inventory and supply chain, accounting and statutory reporting, finance and investment or any one of a number of other disciplines, Tally Solutions are designed to enable data entry, data organization and reporting.

In this article, we review four of the benefits the business will enjoy by adding augmented analytics to the Tally environment and how the integration of augmented analytics can provide additional tools, insight and value to the organization and make your team members more efficient and effective.

Augmented Analytics is a term coined by Gartner analysts to describe a data analytics approach that leverages machine learning and natural language processing (NLP) to provide simple tools for business users and streamline and democratize the analytical process so that every team member can have access to business intelligence and analytics for decision-making.

Go Beyond Data Entry

The typical accounting and finance professional uses Tally for data entry. Entering and tracking data in a single system allows users and managers to see reports that reflect the current state of the business. By adding augmented analytics to the tools available to your team, you support users and empower them to use their industry and domain knowledge to explore and find ‘nuggets’ of data that will help them make decisions and, more importantly, allow them to go beyond simple data entry and reporting to provide valuable advice and recommendations to the management team. Sifting through traditional reports and trying to ‘see’ the real story is often difficult in a traditional accounting and finance system. With integrated augmented analytics, users can theorize and discover answers and use that information to improve outcomes.

Reduce Guesswork and Opinion

At the end of the day, a team member can print reports, pour over data and highlight areas for improvement or perhaps an area they think might represent an opportunity for the business. But, if the data is not presented in true analytical form, team members may draw incorrect conclusions or leverage incomplete information to make a decision. Every person has a bias or an opinion and, while that position may be based on years of experience, we are living in an ever-changing world and business and markets are also changing. So, the conclusions they draw may be flawed if they are based solely on their own experience. With augmented analytics, users can produce graphical representations and tell a story, using data that will lead them to make decisions and recommendations based on metrics and facts.

Encourage Continuous Improvement

When a business makes the decision to integrated augmented analytics into the Tally environment, and provides access to those tools to business users, it can also engender a culture of continuous improvement and encourage team members to explore, discover and use real data and metrics to find ways to improve business processes, identify supplier issues, inventory process changes, and possible tax issues or challenges – all before these trends and patterns become a crucial issue. By encouraging users to go beyond data entry and truly leverage data and metrics to manage the business, the organization can become more agile, engender continuous improvement and ensure that every users is contributing to business success as a vital member of the team.

Improve Time to Market

Your competitors are using augmented analytics in every corner of the organization. When you consider your own business analytics needs, remember that accountants, finance, purchasing managers, inventory professionals and other related roles play a key role in controlling expenses and generating revenue. To be successful today, your business must find those hidden opportunities and issues, wring every drop out of expenses and leverage a myriad of techniques to generate and keep revenue. Identifying when and how to enter the market, how to improve the quality and efficiency of the supply chain, how to capitalize on sales and customer payments and use data and information in creative ways to improve time to market for new products, price points, customer engagement, tax implications, purchasing processes etc.

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These are just a few of the benefits your business will enjoy by integrating augmented analytics with the Tally ERP accounting and finance solution suite.

If your business is using Tally and you want to take your results to the next level, consider SmartenApps For Tally, a solution that provides value out-of-the-box with analytics, dashboards and reports that include an Overview, Sales & Purchase, Bank and Cash, Payables and Receivables, Inventory, Taxes, Cost Center, Ledger, Drill-Down, Accounts Statements, and Reports. For more information about Augmented Analytics and its application in accounting, finance and for Tally, visit our Blog.

Original Post : 4 Benefits of Mobile Analytics for Tally ERP Solution!

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Citizen Data Scientists Have Questions! https://www.elegantjbi.com/blog/citizen-data-scientists-questions.htm https://www.elegantjbi.com/blog/citizen-data-scientists-questions.htm#comments Wed, 20 Oct 2021 14:25:58 +0000 https://www.elegantjbi.com/blog/?p=7801 Continued]]> what-are-the-common-citizen-data-scientist-questionsAnswering Common Questions from Citizen Data Scientist Candidates!

When a business engages its team members and asks them to take on the role of Citizen Data Scientist, there can be many misunderstandings regarding the new role. One of the most common misunderstandings relates to who does what in the role of analytics. Some common questions include:

“Who does the analytics on a day-to-day basis?”

“What if I don’t know how to use analytics software?”

“What does my manager expect me to do with the information I get from the analytics?”

“Am I expected to produce 100% accurate analysis?

“What if I need help?”

Let’s take these questions one at a time:

“Who does the analytics on a day-to-day basis?”

The business user will leverage an augmented analytics system to perform analytics on a daily basis. These analytics should be related to and support the team member’s role in the business. Using augmented analytics and predictive modeling techniques, a team member can combine their domain, industry and professional knowledge to perform analysis that will help them make everyday decisions.

“What if I don’t know how to use analytics software?”

A great augmented analytics solution is designed for users with average technical skills. Auto-recommendations, suggestions and guidance will walk team members through the process and make it easy to use analytics as part of the normal work process. No extensive training is required.

“What does my manager expect me to do with the information I get from the analytics?”

To support a Citizen Data Scientist initiative, the organization and its managers will look to Citizen Data Scientists to use the analytics they perform to make recommendations and suggestions on how to improve the business, how to be more productive, how to be more competitive, etc. With appropriate culture change within the organization, the evaluation and employee assessment process should reward the business user who embraces and uses analytics on a daily basis. This new process ensures that decisions are fact-based and that business users are leveraging metrics to manage day-to-day work.

“Am I expected to produce 100% accurate analysis?

While augmented analytics tools and queries will produce high-quality results, the Citizen Data Scientist should expect to use analytics for daily decisions and, as such, is not focused on strategic initiatives. If and when a user needs to refine analytics to elevate information to a senior executive or to test theories and information gathered from day-to-day analytics, a business analyst or data scientist can take the analytics produced by the business user and perform additional analysis.

“What if I need help?”

With the right deployment and implementation process, IT teams, analysts and ‘champions’ of data analytics will be available for questions. These questions typically occur in the beginning when a Citizen Data Scientist is new to their role and will abate as the business user becomes more comfortable with the analytical tools and techniques and new role.

Our Article, ‘Provide the Right Augmented Analytics Solution and Features for Business Users’ will provide more detail on these augmented analytics tools to support the Citizen Data Scientist role and improve data literacy.

If you are a newly minted Citizen Data Scientist, you don’t have to do this alone! Contact Us to today or Click Here to explore training for Citizen Data Scientists, designed to help you succeed on your Citizen Data Scientist journey.

Original Post : What Are the Common Citizen Data Scientist Questions?

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The Art of the Sales Engineer: Your Secret Weapon for Sales Nirvana! https://www.elegantjbi.com/blog/art-sales-engineer-secret-weapon-sales-nirvana.htm https://www.elegantjbi.com/blog/art-sales-engineer-secret-weapon-sales-nirvana.htm#comments Wed, 20 Oct 2021 08:46:17 +0000 https://www.elegantjbi.com/blog/?p=7795 Continued]]> the-art-of-the-sales-engineer-your-secret-weapon-for-sales-nirvanaIf you work in the IT world (whether in-house or in an IT consulting or IT vendor environment), you have likely been on the receiving end of a sales presentation. Depending on your title and responsibilities, you may even have had to deliver a few of these presentations.

Those of us who have been around for a while can remember when the dreaded software sales presentation was canned and consisted of a restricted demo with a script and an awkward, often frustrating, question and answer session at the close.

If you were on the buying end, you usually didn’t get enough information to make a decision, and the sales team probably didn’t seem too concerned about your unique challenges and needs.

If you were on the selling end of the equation, you probably had your share of frustration as well. Prospective clients didn’t seem to understand the value and uniqueness of your product or services and you were probably caught short on questions that you couldn’t possibly answer because you didn’t truly understand their business.

Fast forward to today’s sales environment and the new, improved sales team.

Sales Engineers, Sales Managers and Sales Professionals come together to build and deliver an engaging, thoughtful and informative presentation that hits the mark! If you have worked with a great Sales Engineer, or managed a sales team with a Sales Engineer, or if you ARE a Sales Engineer, you understand the value of this approach to application and software sales and services.

Today’s sales pitch is not about the amazing hoops your technology can jump through. Rather, it is about how your product can solve problems, and how it fits neatly into the infrastructure, network, hosting, architecture, scalability, performance, user skills, integration, security and technology environment of the client’s organization. The client IT team will expect clear answers from you and it will want you to understand the Enterprise Issues And Challenges and create opportunities for improvement, user satisfaction, great ROI and low TCO. No more canned demos!

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A well trained, innovative Sales Engineer might come from a technical lead position or be a solution or technical architect, or a sales person who has taken the initiative to work with your technical team to build an understanding of the product and the problems the product is designed to address. That person will be able to engage the IT team and the business managers to answer questions at the appropriate level and to help the client team see the vision of how this technology will work in their organization (both at a technical level and in the business user environment). Great Sales Engineers will not wait for the client to bring up issues but will introduce the issue and then, with heads nodding in the room to indicate that the problem is troublesome, she or he will skillfully reveal the solution and address technical concerns, budget and other topics, leaving little room for dissent or complaint.

If you want to be competitive in today’s application and software market, you must provide the Knowledge, Skill And Approach to address the client questions and concerns from every angle and make the sales meeting interactive. No dry demos, no scripted nonsense – EVERY client wants a personalized, thoughtful, informative presentation that will convince them that yours is the right answer to their problem. YOU should want that too, because THAT is the way you close a deal!

Original Post : The Art of the Sales Engineer: Your Secret Weapon for Sales Nirvana!

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Answer Your Business User Concerns About Augmented Analytics! https://www.elegantjbi.com/blog/answer-business-user-concerns-augmented-analytics.htm https://www.elegantjbi.com/blog/answer-business-user-concerns-augmented-analytics.htm#comments Mon, 18 Oct 2021 13:16:54 +0000 https://www.elegantjbi.com/blog/?p=7792 Continued]]> business-users-no-need-for-concern-about-augmented-analyticsUsers Might Think Augmented Analytics is Too Difficult. That’s Not True!

If you are a business manager who wants to enable a Citizen Data Scientist environment, but you find yourself up against resistance, it is often because your business users believe that advanced analytics is just too hard for them to learn and that the use of these types of techniques and systems will slow them down and confuse their otherwise familiar processes.

But, there are plenty of businesses that have initiated this type of process and done so successfully. User resistance can come from multiple issues, but the complaint that the analytics solution they will use is ‘just too hard’ should not be one of them.

With the right analytical solution – namely, an augmented analytics software solution – your team can leverage technology and smart systems to allow users to access and understand analytics without the skills of a business analyst, a data scientist or an IT professional.

These systems are designed specifically for business users and there are two main factors that make it easy-to-use and intuitive.

Machine Learning with Auto-Suggestions

When business users leverage systems and solutions that are designed with Machine Learning capabilities to predict outcomes and analyze data, they can achieve the best fit for analytical techniques and ensure that they use the most appropriate algorithm for the data they wish to analyze. Business users can take advantage of AutoML tools to explore patterns in data and receive suggestions to help them gain insight – all without dependence on IT or data scientists. AutoML is the automated process of features and algorithm selection that supports planning, and allows users to fine tune, perform iterative modeling, and allows for the application and evolution of machine learning models. Machine Learning Algorithms allows the system to understand data and applies correlation, classification, regression, or forecasting, or whichever technique is relevant, based upon the data the user wishes to analyze. It provides valuable auto-suggestions and recommendations to streamline the user process and ensure that business users get what they need. Results are displayed using visualization types that provide the best fit for the data, and the interpretation is presented in simple natural language. This seamless, intuitive process enables business users to quickly and easily select and analyze data without guesswork or advanced skills.

Natural Language Processing

If you stay up-to-date with your industry and market publications, you have probably heard a lot of buzz about natural language processing or NLP. In fact, whether you know it or not, you use NLP every day. When you type a question into Google, you are using NLP! The system translates your question and returns results to meet your needs. When NLP is used in analytics, it can produce the same type of results without the need for a business user to have data science or IT skills. NLP allows team members with average technical skills to create complex searches without endless clicks and complex navigation and commands. Using this type of Search Analytics, users can access and view clear, concise answers and analysis quickly and easily. Your users do not need to scroll through menus and navigation. The business can address complex questions using this simple search capability. And, with the right solution you can take that ease-of-use to the next level by providing your users a contextual flexible search mechanism.

Of course, there is a lot more to the idea of augmented analytics and the design of tools that provide sophisticated functionality and features in a user-friendly environment, but these two factors are key to the ease-of-use aspect of an augmented analytics solution and, together they address many of your business user concerns about a system being ‘too complicated’ for the average user.

If your business wants to leverage Augmented Analytics to achieve powerful, clear, concise results in the business user community and encourage a Citizen Data Scientist initiative, Contact Us today to get started. Explore our Blog to find out more about the benefits and advantages of Augmented Analytics.

Original Post : Business Users: No Need for Concern About Augmented Analytics!

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How to Assure Citizen Data Scientist Success! https://www.elegantjbi.com/blog/assure-citizen-data-scientist-success.htm https://www.elegantjbi.com/blog/assure-citizen-data-scientist-success.htm#comments Mon, 11 Oct 2021 18:05:56 +0000 https://www.elegantjbi.com/blog/?p=7788 Continued]]> make-sure-your-citizen-data-scientists-succeedEnterprise Culture Change Assures Success of Citizen Data Scientist Initiatives!

Many businesses have embraced the Gartner prediction that transforms business users into Citizen Data Scientists to help organizations democratize analytics with simple tools that will improve the quality and timeliness of decisions. You can read white papers, industry articles and other publications that will support and articulate this approach to business flexibility, agility and success. But, if you do not embrace the culture change required to deploy this strategy across your enterprise, your Citizen Data Scientist initiative will not succeed.

Simply announcing this initiative is not enough. In order to make this work you must provide support, training and a patient approach to engaging users, managers, HR and all other team members. You must offer augmented analytics tools that are designed for business users and will not require extensive training to enable user adoption. You must reward the use of analytics in staff meetings, in user recommendations for changes to work processes, products, services or other things that affect business success. In other words, give your users and managers a reason to adopt and leverage these tools (a reason beyond the fact that it is the right thing to do for the business). Make it worth their while.

Courses that provide a foundation for Citizen Data Scientists will ensure an understanding of the new role of Citizen Data Scientist and how business users will now utilize analytics to do their job, how and when they will collaborate with data scientists, IT or business analysts, the types of analytical techniques they will use and the basics of how to leverage these techniques within the confines of the augmented analytics solution you provide.

Without the right augmented analytics tool and the support of the organization, without a shift in the culture to encourage the use of analytics across all roles, a Citizen Data Scientist initiative cannot succeed!

If your business wishes to get started on the Citizen Data Scientist journey, it can find the tools and support it needs here: Online Citizen Data Scientist TrainingWorkshopsAugmented Analytics Designed For Business Users.

Original Post : Make Sure Your Citizen Data Scientists Succeed!

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Can Integrated Analytics Help Tally ERP Users? https://www.elegantjbi.com/blog/integrated-analytics-tally-erp-users.htm https://www.elegantjbi.com/blog/integrated-analytics-tally-erp-users.htm#comments Thu, 07 Oct 2021 14:11:08 +0000 https://www.elegantjbi.com/blog/?p=7781 Continued]]> analytics-will-elevate-the-value-of-tally-erpIntegrate Sophisticated Analytics and User-Friendly Tools with Tally ERP!

Tally ERP business users are familiar with the tools and modules provided and use these tools daily for accounting, inventory control, purchasing and supplier management tasks and finance-related activities. Users perform data entry and reporting. But, what if your business users could take the information within this system and use it to spot trends, identify patterns, make recommendations and suggestions to the business units and add crucial value in managing every aspect of expenses, revenue and tax implications within the business environment?

By integrating easy-to-use analytics with Tally, the average business users can enjoy built-in tools and in-depth reporting and go beyond standard, restrictive reports to gain insight into those issues that will become problems and into the opportunities that will help the business to expand, streamline and become more competitive and productive.

These tools are not designed for data scientists. They are designed for professionals who wish to combine their industry and career knowledge with sophisticated analytical tools in a user-friendly technology environment. The purpose of the tools is to elevate the value of the Tally ERP solution and to engender collaboration and a focus on the more strategic, operational and targeted use of data to make fact-based decisions and to sift through the data to find those important nuggets of information that will drive business success.

https://www.elegantjbi.com/blog/wp-content/uploads/2021/10/analytics-will-elevate-the-value-of-tally-erp-screenshots

If you are a Tally user, you can leverage powerful analytical tools to add value to your organization and take a proactive role in results. Your business can evaluate the solution for free. Find out more about SmartenApps For Tally analytics. Contact Us to today to find out how SmartenApps for Tally can help you achieve your goals.

Original Post : Analytics Will Elevate The Value Of Tally ERP!

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Business Users Need Personalized BI Tools & Dashboards! https://www.elegantjbi.com/blog/business-users-personalized-bi-tools-dashboards/ https://www.elegantjbi.com/blog/business-users-personalized-bi-tools-dashboards/#comments Tue, 05 Oct 2021 08:08:55 +0000 https://www.elegantjbi.com/blog/?p=7777 Continued]]> personalized-dashboard-bi-tools-for-every-userFlexible Dashboard Software Can Deliver Business Intelligence to Business Users!

When I speak to friends and colleagues about reaping the benefits of business intelligence, they are often frustrated by the inability to a) access data and build reports and insight without the assistance of IT or analysts or b) access tools that allow them to use a BI tool or solution in a way that is meaningful to them. In other words, they either have NO access to business intelligence tools or they have access but those BI tools are restrictive and provide no flexible, agile way to gather, see and analyze data for the type of role they perform within the organization.

If your business does not provide access to business intelligence for team members, the absence of data democratization will result in a lack of empowerment and accountability for decisions and recommendations. If your business DOES provide access to BI tools, but business users have no ability to personalize dashboards or their approach to analytics based on their need, you are restricting them to views, reports and analytical methods that are dictated by an IT team, a consultant or an analyst or data scientist. Because no one but the user understands the particular need or requirements for data, how the data will be used to make a decision or what types of alerts and reports will benefit the user’s role and responsibilities on a daily basis, there is no way the business can accommodate every team member and every ‘day in the life of’ a team member to make sure they have what they need.

Choosing a BI self-serve, mobile business intelligence suite that is suitable for every size enterprise, business function and business user is imperative. You will want a variety of tools and sophisticated features and functionality in an easy-to-use environment to support and transform your business users into Citizen Data Scientists. It is important to provide flexible tools that allow users to personalize dashboards, monitor, analyze and present data. The right BI tool is 100% browser based, with a unique ‘Design once, Use anywhere’ UI engine that ensures a seamless user experience across desktops, tablets and mobile devices. These tools allow business users to design personalized dashboards in minutes, without knowledge of any programming or SQL queries and users can enjoy clear, concise visualizations, alerts for exceptions and trends, and deep dive analysis using highly interactive dashboards.

If you want your business users to promote, collaborate and adopt the use of data and business intelligence, it is important to provide a strong Modern Business Intelligence foundation designed to support your Business Function, Your Existing Business Applications and the unique needs of your industry. Visit our Blog to find out more about how to encourage the use of BI tools and Personalized Dashboards within your team.

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Case Study – Smarten Augmented Analytics Implementation for India Transformer Manufacturing Co. for IOT Sensor Data Analytics https://www.elegantjbi.com/blog/case-study-smarten-augmented-analytics-implementation-india-transformer-manufacturing-iot-sensor-data-analytics.htm https://www.elegantjbi.com/blog/case-study-smarten-augmented-analytics-implementation-india-transformer-manufacturing-iot-sensor-data-analytics.htm#comments Thu, 30 Sep 2021 16:37:27 +0000 https://www.elegantjbi.com/blog/?p=7748 Continued]]> The Client business focus is in the fastest growing business sector in the India market, with a market value of US$ 3.5 Billion. The group is comprised of fifteen companies managing diverse business interests in Automotive Tires, Infrastructure, IT and Specialty markets including Pharmaceuticals, Power Ancillaries and Plantations.

The Smarten solution and the Smarten team helped the Client to support its users with tools to analyze important data and identify overall production performance, and monitor the financial impact of loss hours and non-dispatch on the organization. The Smarten solution allows the Client team to measure tactical and operational results at a summary level and at a detailed level with respect to production stages, delay contributors, operators etc.

With the Smarten solution foundation and the skills and support of the Smarten team, the Client has achieved its goal of plant performance monitoring. The Smarten augmented analytics intuitive interface allows users to make the most out of available data and effectively manage production counts, equipment efficiency, operator efficiency etc. This project implementation allows the Client to track their production performance to reduce unplanned downtime and increase the delivery satisfaction index without compromising on the quality standards.

download-casestudy

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Factors and Considerations Involved in Choosing a Data Management Solution! https://www.elegantjbi.com/blog/factors-considerations-involved-choosing-data-management-solution.htm https://www.elegantjbi.com/blog/factors-considerations-involved-choosing-data-management-solution.htm#comments Thu, 30 Sep 2021 08:16:45 +0000 https://www.elegantjbi.com/blog/?p=7731 Continued]]> factors-and-considerations-involved-in-choosing-a-data-management-solutionWhen a business enters the domain of data management, it is easy to get lost in a flurry of promises, brochures, demos and the promise of the future.

In the first article in our two-part series, entitled, ‘Data Warehouse, Data Lake, Data Mart, Data Hub: A Definition of Terms’, we defined the terms and differences in the market so that businesses can better understand the possibilities of Data Warehouses, Data Marts, Data Lakes and Data Hubs.

In this article, we will present the factors and considerations involved in choosing the right data management solution for your business.

 

Data Volume, Transformation and Location

Data Warehouse

Datawarehouses (DWH) typically serve the entire organization and may have several Data Marts combined within the DWH to serve individual business units or departments (see Data Marts below for more information). A Data Warehouse usually handles a very large volume of data and stores highly transformed, structured data from disparate sources within a structured environment.

  • Suitable For: Large volumes of data, integration of data sources, data sources do not change often. Is typically used by IT, MIS, data scientists and business analysts.
  • Advantages: Can handle storage and manipulation of a great deal of data coming from various types of data sources. Is comprised of curated, pristine quality data meant to serve as a single version of truth for the organization.
  • Limitations: Can typically only be used by trained professionals that have programming skills, SQL knowledge and/or can execute sophisticated queries and use data extraction, transformation and loading (ETL) tools or techniques.

Data Mart

A Data Mart is usually a subset of a data warehouse and for some organizations, will function as a staging repository for data sources to make data from specific sources accessible to users in a specific department or business unit, making it easier for them to find and analyze data with better scalability and performance.

  • Suitable For: Use by business units, departments or specific roles within the organization that have a need to analyze and report and require high quality data and good performance.
  • Advantages: Can provide secured access to data required by certain team members and business units.
  • Limitations: Requires appropriate structuring and data access provided by IT or data scientists to enable the business user to easily access and use the data. Limitations of the Data Mart are similar to the Data Warehouse.

Data Lake

A Data Lake can accommodate a very large volume of data and will act as a repository for operational data in near-source format. The data within a Data Lake can be used by a Citizen Data Scientist, Data Scientists, MIS and power users, and IT with appropriate tools for analysis and data preparation.

  • Suitable For: Large volumes of data, integration of data sources, used by IT, MIS, data scientists and Citizen Data Scientists.
  • Advantages: Can handle storage and manipulation of a great deal of data coming from various types of data sources. Not tied to specific structures for the complex transformations of data sources and, in this respect, is more flexible than a Data Warehouse.
  • Limitations: Can be used by IT, Data Scientists or Citizen Data Scientists using appropriate analytical tools and self-serve data prep tools to review, analyze and report on operational source data in original form or semi transformed form. Requires appropriate structuring and data access provided by IT or data scientists to enable the business user to easily access and use the raw operational data rather than highlight transformed, and aggregated data.

Data Hub

A Data Hub is used to process, transform and govern data and may be used for large volumes of data. It acts as a bridge between data sources and provides a layer of data governance and data transformation in between the data sources.

  • Suitable For: Large volumes of data, organizations that require good data governance and integration of data sources, use by IT, MIS, data scientists and business analysts.
  • Advantages: Can handle governance and data quality of a great deal of data coming from various types of data sources.
  • Limitations: Can be used by IT and ETL experts to maintain integration, quality and governance across application and data stores across the enterprise.
factors-and-considerations-involved-in-choosing-a-data-management-solution-infographic

 

Intended Use of Data

Data Warehouse

Curated, highly transformed data with pristine quality. Created by IT and Data Warehouse professionals, and used by IT and analysts to build reports, visualizations, business intelligence and analytics objects. Data stored within the Data Warehouse is intended to serve as one source of data and ‘truth’ across the enterprise.

Data Mart

Curated, highly transformed data with pristine quality. Created by IT and Data Warehouse professionals, and used by IT and analysts to build reports, visualizations, business intelligence and analytics objects.  Typically intended for business units, departments or specific groups of users to contain and manage their applications and domain.

Data Lake

Created and maintained by IT staff and data engineers. Gives access to raw operational data in original or semi transformed form. Used by Citizen Data Scientists, Data Scientists, Analysts and MIS team members.

Data Hub

Created, maintained and used by IT, data engineers, and integration teams to ensure data governance and quality across various data sources and repositories.

Budget, Timeline and Required Skills

Data Warehouse

Because a Data Warehouse typically houses structured, curated data from many sources across the enterprise, the cost and timeline for implementation will be greater. The enterprise must have the skills and tools to perform data extraction, transformation and loading (ETL) and, because business data and data source formats and applications change quickly, the datawarehouse is likely to undergo continuous upgrade and changes.

Data Mart

A Data Mart is a smaller initiative for a business unit or group of users within the organization, and can be built more quickly but the cost and timeline for deployment will depend on the number of data sources, the required data transformation and structuring and issues related to the changing nature of the data source. It will require expert maintenance.

Data Lake

A Data Lake typically houses operational data in original or near-source format data from many sources across the enterprise, so the cost and timeline for implementation will be greater as it is intended to cover all applications and data sources across the organizations. The enterprise must have the skills and tools to perform data extraction, transformation and loading (ETL) and, because business data and formats change quickly, the Data Lake environment is like to undergo continuous upgrade and changes, but these changes are simpler than the Data Warehouse or Data Mart environment as data is stored in near-source formats, making it easier to add new applications or data sources to the Data Lake

Data Hub

The cost and the length of time for development and deployment of Data Hub will depend on the number of data sources and the required degree of transformation required for the quality and governance layers. Factors that will affect the schedule and cost also include the established policies, data volume and required scalability and performance as well as data security and government, and integration of multiple data sources etc. The team will require specialized skills to create and sustain the Data Hub for use by those in the business community.

No matter which option the business chooses as the best fit, when an enterprise undertakes a project of this import and scale, it will need to plan its approach in one of the following ways:

a)  Dedicate a skilled and dedicated team of IT staff and data engineers to create and maintain the solution and accommodate upgrades and changes.

b)  Engage an IT consultant to help the business select the right solution, develop the structure and overlay reporting or analytical tools to provide the best access and data governance and then hand the solution off to the business to maintain

c)   Leverage a joint project team, comprised of internal IT and/or analysts and an IT consulting partner to take the project from concept to execution and work together to maintain and upgrade the solution as and when required.

If you wish to review the definition and differences among the various Data Management options (Data Warehouses, Data Marts, Data Lakes and Data Hubs), you can refer to the first article in this two-part series, entitled, ‘Data Warehouse, Data Lake, Data Mart, Data Hub: A Definition of Terms’, we defined the terms and differences in the market so that businesses can better understand the possibilities of Data Warehouses, Data Marts, Data Lakes and Data Hubs.

Original Post : Factors and Considerations Involved in Choosing a Data Management Solution!

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Case Study – Smarten Augmented Analytics OEM Partnership for Healthcare Informatics Solutions Company https://www.elegantjbi.com/blog/case-study-smarten-augmented-analytics-oem-partnership-healthcare-informatics-solutions-company.htm https://www.elegantjbi.com/blog/case-study-smarten-augmented-analytics-oem-partnership-healthcare-informatics-solutions-company.htm#comments Tue, 28 Sep 2021 20:09:40 +0000 https://www.elegantjbi.com/blog/?p=7745 Continued]]> This Partner is a global healthcare informatics solutions company. The Partner healthcare solutions are used by Hospitals, Diagnostic Centres and Specialty Clinics among others. Their solutions have benefited over 500+ healthcare organizations globally.

Partner required augmented analytics and reporting capability integrated with its Healthcare Information system to improve productivity and the quality and accessibility of crucial data, and it wished to engage in an OEM partnership to provide easy-to-use dashboards for use by all of its end users using the selected Partner solution. Smarten provided a comprehensive set of reporting and analytics tools, e.g., revenue earned analytics, patient admission and discharge analysis, ward Management, lab management – all as interactive self-serve reports, including dashboards, KPIs, Graphical Analysis and more.

The integration of augmented analytics with its proprietary Healthcare Information System enabled the Partner to improve its end user satisfaction, market credibility and recognition across the healthcare industry. The integration of interactive Dashboards with the Healthcare Information System provided a competitive advantage and enabled the Partner to better leverage its data and operate more efficiently thereby increasing revenue and allowing the Partner to add and effectively support more end users.

download-casestudy

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Smarten Support Portal Updates – September – 2021! https://www.elegantjbi.com/blog/smarten-support-portal-updates-september-2021.htm https://www.elegantjbi.com/blog/smarten-support-portal-updates-september-2021.htm#comments Tue, 28 Sep 2021 10:16:13 +0000 https://www.elegantjbi.com/blog/?p=7707 Continued]]> smarten-support-portal-updates-september-2021We invite you to explore our latest knowledgebase articles and to join the Smarten user community on Smarten Support Portal.

If you have not registered yet, Click Here to obtain your login credentials.

 

 

 

 

 

 

Knowledgebase Articles

  1. UDDC Expressions : Making use of Case statements (IfCase, When-Then)
  2. UDDC Expressions : Making use of Date functions
  3. UDDC Expressions : Making use of Arithmetic functions
  4. UDDC Expressions : Making use of Cell references
  5. General: Handling UTF Encoding for Metadata database

Forum Topics

  1. General: Smarten meta-data such as object title, object properties, etc. with special characters are not displayed properly in Smarten. How to make them work?
  2. SSDP: How can the database query processing time be improved while working on a dataset?

Usecases

  1. How to derive the recently purchased city of each customer from daily customer transactions from various cities

If you don’t find what you need in the Support Portal, we hope you will contact us with your questions, comments or suggestions. We are here to help and to support your business goals and success!

URL: Smarten Customer and Partner Community
Email: support@Smarten.com

Original Post : Smarten Support Portal Updates – September – 2021!

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Improve Your Team Value with Analytics for Tally Solutions! https://www.elegantjbi.com/blog/improve-team-analytics-tally-solutions.htm https://www.elegantjbi.com/blog/improve-team-analytics-tally-solutions.htm#comments Tue, 28 Sep 2021 08:01:56 +0000 https://www.elegantjbi.com/blog/?p=7697 Continued]]> add-value-and-insight-to-tally-erp-with-augmented-analyticsAre You Using Tally Solutions? Add Value by Integrating Augmented Analytics!

As a corporate accounting professional or an enterprise financial professional, purchasing manager, inventory manager or any other team member working in a financial capacity in an organization, you can make a difference! You may think that your impact is limited to ensuring correct data entry, providing statutory reports and perhaps pointing out budget overruns or other day-to-day issues.

If you are using a Tally ERP solution, your team can include augmented analytics as an integrated tool that will overlay your modules and allow you to gather, combine and analyze data to gain insight into trends, patterns, problems looming on the horizon or opportunities to improve supply chain, inventory controls, investments, etc.

Your role as a team member can be proactive. With the right information, you can spot issues and collaborate with other professionals on the team to create a comprehensive approach to workflow and approval processes that will improve results, control costs and allow managers and executives to sleep better at night!

add-value-and-insight-to-tally-erp-with-augmented-analytics-screenshot

Augmented Analytics tools allow business users with average technical skills to see and create reports for sales, purchasing, payables, receivables, income and expenses, cash and bank, duties and taxes with top and bottom analysis, contribution analysis and key performance indicators (KPIs). Users can analyze monthly sales, identify top customers and see detailed sales registers, and can compare results from previous periods and reveal trends and patterns in banking and cash. Without the assistance of IT or data scientists, you can breakdown payables and receivables by creditors, debtors, products, services and collections and analyze inventory for shortfalls or overages. There are tools to allow you to examine taxes, estimate upcoming tax obligations, and to analyze cost center balances and associated ledgers, including entries and balances and drill-down to voucher level. Accountants can leverage statutory tools for balance sheets, trial balance, profit and loss and there are other reports and drill-down tools that allow users to slice and dice by vendor, product, service, cost, sales person, location, customer, inventory, purchase, etc.

If you are a Tally user, you can leverage these powerful tools to add value to your organization and take a proactive role in results. AND you can evaluate the solution for free, and determine the business benefits. Find out more about SmartenApps for Tally analytics. Contact Us to today to find out how SmartenApps for Tally can help you achieve your goals.

Original Post : Add Value and Insight to Tally ERP with Augmented Analytics!

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What Is Multilayer Perceptron Classifier And How Is It Used For Enterprise Analysis? https://www.elegantjbi.com/blog/multilayer-perceptron-classifier-enterprise-analysis.htm https://www.elegantjbi.com/blog/multilayer-perceptron-classifier-enterprise-analysis.htm#comments Thu, 23 Sep 2021 20:28:35 +0000 https://www.elegantjbi.com/blog/?p=7687 Continued]]>

This article describes the analytical technique of multilayer perceptrons for classification.

What is a Multilayer Perceptron Classifier?

Multilayer perceptron (MLP) is a technique of feed-forward artificial neural networks using a back propagation learning method to classify the target variable used for supervised learning.

MLP’s can be applied to complex non-linear problems, and it also works well with large input data with a relatively faster performance. The algorithm tends to achieve the same accuracy ratio even with smaller data.

Let’s look at an example of Multilayer perceptron analysis, involving the potential for opportunity results, based on factors like Revenue, Total days(qualified), Total

example-multiple-perceptron-classifier

How is a Multilayer Perceptron Classifier Used in Analysis?

Let’s look at two use cases where a Multilayer Perceptron Classifier might be applied and how it would be useful to the organization.

Business Use Case 1

Business Problem: Predict employee attrition.
Identifying the important factors that lead to employee attrition.

Target/dependent variable:

  • Attrition

Predictor/independent variables:

  • Overtime
  • Monthly Income
  • Total Working Years
  • Stock Option Level
  • Relationship Satisfaction

Business Benefit:

The predictive model will help us identify various factors that affect the resignation or retirement decisions made by the employee. This will help the company identify the criteria it needs to work on to retain employees in the company.

Business Use Case 2

Business Problem: Predicting medication type needed for patients in a hospital.
Identifying the right type of medication/treatment for various patients admitted in the hospital.

Target/dependent variable: 

  • Target (Drug, Solo Insulin)

Predictor/independent variables:

  • Time Spent in Hospital
  • Number of  Medications
  • Number of  Procedures
  • Patient’s Weight
  • Medical Specialty Ward

Business Benefit:

Filtering through the most important factors of a patient’s diagnosis to help choose the most appropriate type of medication (Drug, Solo Insulin) for the patient.

About Smarten

The Smarten approach to augmented analytics and modern business intelligence focuses on the business user and provides tools for Advanced Data Discovery so users can perform early prototyping and test hypotheses without the skills of a data scientist. Smarten Augmented Analytics tools include Assisted Predictive ModelingSmart Data VisualizationSelf-Serve Data PreparationClickless Analytics with natural language processing (NLP) for search analyticsAuto InsightsKey Influencer Analytics, and SnapShot monitoring and alerts. These tools are designed for business users with average skills and require no specialized knowledge of statistical analysis or support from IT or data scientists. Businesses can advance Citizen Data Scientist initiatives with in-person and online workshops and self-paced eLearning courses designed to introduce users and businesses to the concept, illustrate the benefits and provide introductory training on analytical concepts and the Citizen Data Scientist role.

The Smarten approach to data discovery is designed as an augmented analytics solution to serve business users. Smarten is a representative vendor in multiple Gartner reports including the Gartner Modern BI and Analytics Platform report and the Gartner Magic Quadrant for Business Intelligence and Analytics Platforms Report.

Original Post: What Is Multilayer Perceptron Classifier And How Is It Used For Enterprise Analysis?

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Discover Key Influencer Analytics and Improve Your Biz! https://www.elegantjbi.com/blog/discover-key-influencer-analytics-improve-biz.htm https://www.elegantjbi.com/blog/discover-key-influencer-analytics-improve-biz.htm#comments Thu, 23 Sep 2021 11:42:25 +0000 https://www.elegantjbi.com/blog/?p=7681 Continued]]> can-key-influencer-analytics-improve-my-business-resultsWhat Are Key Influencer Analytics and Why Should My Business Care?

Do you know what Key Influencer Analytics are? If not, you should! One of the most frustrating tasks a business user has in analytics is finding and gathering the right data for analysis and ensuring that all factors, variables and data that may affect the outcome of the analysis is included. That is why these activities are typically performed by Data Scientists, analysts or IT in many organizations. Without the ability to identify the right variables, and determine the relationships among these variables and business success, the business is likely to measure and attend to the wrong things.

Key Influencer Analytics provides the perfect solution to this problem!  Using these tools the business user can point to a dataset you want to analyze and identify the target and the influencers or predictors that will affect the target, along with its impact and it provides crucial metrics such as mean, outliers, and others and identifies relationship and distribution among variables. These tools will also auto-suggest relationships and present distribution and impact using the most appropriate visualization

Business users don’t need advanced skills to enjoy interactive features that allow them to see and explore other combinations and impacts and can select target and predictors, and use them for models, reports or KPIs.

Leverage the power of Key Influencer Analytics and discover the relationships, connections and impact hidden in your data. Solve problems and capitalize on opportunities in your market.

Original Post : Can Key Influencer Analytics Improve My Business Results?

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What Is Generalized Linear Regression with Gaussian Distribution And How Can An Enterprise Use This Technique To Analyze Data? https://www.elegantjbi.com/blog/generalized-linear-regression-gaussian-distribution-enterprise-technique-analyze-data.htm https://www.elegantjbi.com/blog/generalized-linear-regression-gaussian-distribution-enterprise-technique-analyze-data.htm#comments Tue, 21 Sep 2021 14:19:31 +0000 https://www.elegantjbi.com/blog/?p=7667 Continued]]>

This article describes the analytical technique of generalized linear regression with gaussian distribution.

 

What is Generalized Linear Regression with Gaussian Distribution?

The Generalized Linear Model (GLM) Regression is a flexible generalization of ordinary linear regression that allows for response variables that have error distribution models other than a normal distribution. GLM with gaussian Distribution is a model with low complexity where the response variables exhibit gaussian exponential distribution form.

Generalized linear regression is limited to predicting numeric output so the dependent variable has to be numeric in nature.

To have a better understanding of this algorithm, let’s look at one such analysis on loan eligibility to identify whether or not the amount is eligible for loan application based upon various influencing factors.

Example-Isotonic-Regression

How Can Generalized Linear Regression with Gaussian Distribution Be Helpful for Business Analysis?

If we consider the use cases below, we can see the value of Generalized Linear Regression with gaussian distribution analysis.

Business Use Case 1

Business Problem: Product’s Profit Prediction
Identifying the profit made by each product based upon various factors like its total revenue, number of units sold, region of sale etc.

Target/dependent variable:

  • Total Profit

Predictor/independent variables:

  • Total Revenue
  • Units Sold
  • Region
  • Total Cost

Business Benefit:

The predictive model will help us identify, profit on different products based on the sales, region and other cost factors.

Business Use Case 2

Business Problem: Student’s Chance Of Admission Prediction
To determine a student’s chance to get admission based on certain educational scores and factors.

Target/dependent variable:

  • Chance of Admit

Predictor/independent variables:

  • CGPA
  • GRE Score
  • LOR
  • TOEFL Score

Business Benefit:

Using generalized linear regression, we can determine, to what extent a person qualifies to get an admission based on various educational factors. This eases the entire process of admission and allows the most eligible students to be selected.

About Smarten

The Smarten approach to augmented analytics and modern business intelligence focuses on the business user and provides tools for Advanced Data Discovery so users can perform early prototyping and test hypotheses without the skills of a data scientist. Smarten Augmented Analytics tools include Assisted Predictive ModelingSmart Data VisualizationSelf-Serve Data PreparationClickless Analytics with natural language processing (NLP) for search analyticsAuto InsightsKey Influencer Analytics, and SnapShot monitoring and alerts. These tools are designed for business users with average skills and require no specialized knowledge of statistical analysis or support from IT or data scientists. Businesses can advance Citizen Data Scientist initiatives with in-person and online workshops and self-paced eLearning courses designed to introduce users and businesses to the concept, illustrate the benefits and provide introductory training on analytical concepts and the Citizen Data Scientist role.

The Smarten approach to data discovery is designed as an augmented analytics solution to serve business users. Smarten is a representative vendor in multiple Gartner reports including the Gartner Modern BI and Analytics Platform report and the Gartner Magic Quadrant for Business Intelligence and Analytics Platforms Report.

Original Post: What Is Generalized Linear Regression with Gaussian Distribution And How Can An Enterprise Use This Technique To Analyze Data?

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What Is Random Forest Classification And How Can It Help Your Business? https://www.elegantjbi.com/blog/random-forest-classification-business.htm https://www.elegantjbi.com/blog/random-forest-classification-business.htm#comments Sun, 19 Sep 2021 19:53:27 +0000 https://www.elegantjbi.com/blog/?p=7661 Continued]]>

This article provides a brief overview of random forest classification technique.

What is Random Forest Classification?

The Random Forest Classification model constructs many decision trees wherein each tree votes and outputs the most popular class as the prediction result.

Random Forest Classification output helps identify important factors impacting the dependent variable and the nature of relationship between each of these factors and dependent variable. Random Forest Classification is limited to predicting categorical output so the dependent variable has to be categorical in nature. The minimum sample size is 20 cases per independent variable.

To further clarify the use of the Random Forest Classification model, let’s look at a sample customer churn analysis to predict the likelihood of customers to churn based upon important factors.

example-random-forest-classification

How Can Random Forest Classification Be Helpful for Business Analysis?

Explore the use cases below, to better understand the value of Random Forest Classification.

Business Use Case 1

Business Problem: Predict loan default.

Based on the historical data related to credit card payments, loan payments, existing loan status, job status we want to classify/divide the customers into defaulters and non defaulters.

Target/dependent variable:

  • Default Status

Predictor/independent variables:

  • Home ownership status
  • Existing loan status
  • Occupation
  • Account Balance

Business Benefit:

The predictive model will help us identify whether a customer fails to repay the loan depending on certain factors, which would lead to easier identification of risky customers and help the bank avert the risk delinquencies.

Business Use Case 2

Business Problem: Predict quality of Red Wine.

The data is a result of analysis to determine the quality of the red wine based upon chemicals it consists of.

Target/dependent variable:

  • Quality category

Predictor/independent variables:

  • Citric Acid
  • Density
  • Residual Sugar
  • Chlorides

Business Benefit:

Using random forest classification, we can determine the quality of red wine (high, low) based upon its influential chemical attributes.

About Smarten

The Smarten approach to augmented analytics and modern business intelligence focuses on the business user and provides tools for Advanced Data Discovery so users can perform early prototyping and test hypotheses without the skills of a data scientist. Smarten Augmented Analytics tools include Assisted Predictive ModelingSmart Data VisualizationSelf-Serve Data PreparationClickless Analytics with natural language processing (NLP) for search analyticsAuto InsightsKey Influencer Analytics, and SnapShot monitoring and alerts. These tools are designed for business users with average skills and require no specialized knowledge of statistical analysis or support from IT or data scientists. Businesses can advance Citizen Data Scientist initiatives with in-person and online workshops and self-paced eLearning courses designed to introduce users and businesses to the concept, illustrate the benefits and provide introductory training on analytical concepts and the Citizen Data Scientist role.

The Smarten approach to data discovery is designed as an augmented analytics solution to serve business users. Smarten is a representative vendor in multiple Gartner reports including the Gartner Modern BI and Analytics Platform report and the Gartner Magic Quadrant for Business Intelligence and Analytics Platforms Report.

Original Post: What Is Random Forest Classification And How Can It Help Your Business?

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Too Busy to Monitor Results? Augmented Analytics Can Help! https://www.elegantjbi.com/blog/busy-monitor-results-augmented-analytics-help.htm https://www.elegantjbi.com/blog/busy-monitor-results-augmented-analytics-help.htm#comments Fri, 17 Sep 2021 08:52:40 +0000 https://www.elegantjbi.com/blog/?p=7639 Continued]]> stay-on-track-with-augmented-analytics-insight-and-alertsWith Augmented Analytics Tools You Can Gain Insight and Track Business Results!

If you own or work in a business, you know that, while you are busy doing what you do on a daily basis, things can change. The change itself is challenging but what is more challenging is staying abreast of what is changing, where it is changing and how it is impacting the business. If you aren’t aware of the change, things can sneak up on you. Your business can get off track and, if you aren’t aware of that misstep, you risk greater loss as time goes by. At the same time, the changes that occur that might provide a market opening or an opportunity can also fall by the wayside if you are not paying attention.

At this point, you are probably thinking that staying abreast of these changes is nearly impossible, given the hundreds of other things on which your team must focus in order to keep the business running. The good news is that the business does not have to sacrifice agility or focus in order to monitor and manage the ever-changing business landscape.

With augmented analytics, business users with average technical skills, can monitor and track results, trends and patterns and understand anomalies and issues without hiring a team of data scientists or adding resources. These tools support the evolving role of Citizen Data Scientists so business users can to gather information, establish metrics and key performance indicators (KPIs), identify crucial volatility and anomalies, and receive auto-suggestions and information to clearly identify the root cause of problems and target opportunities. Business users can identify key influencers and variables that affect targets, customers, competitive positioning, etc.

This process does not require business users to constantly check results. Rather, it allows the team to establish KPIs and targets and set alerts so that automated reports and email are pushed to the team. These alerts include graphics and visuals to tell the story and help the business user quickly and easily understand what is happening so no one is wasting time!

The team can solve problems by understanding what has changed and the cause of the problem, and they can identify opportunities to improve performance. Users can detect anomalies, increases, decreases, volatility and trends for the targeted KPIs and, more importantly, understand the reasons for these issues, trends and patterns.

If your business wants to gain valuable insight into the changing business environment and address challenges and opportunities quickly, your team can leverage Smarten SnapShotAuto Insights and Key Influencer Analytics. These tools enable business users to quickly establish key performance indicators (KPIs) and personalized alerts and reports to monitor and measure results with powerful, clear, concise results that help users to understand and manage the variables that impact their targets and their results. Contact Us today to get started.

Original Post : Stay on Track with Augmented Analytics Insight and Alerts!

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Software Demos that Say, ‘I Hear You’​ https://www.elegantjbi.com/blog/software-demos-say-hear.htm https://www.elegantjbi.com/blog/software-demos-say-hear.htm#comments Tue, 14 Sep 2021 20:11:12 +0000 https://www.elegantjbi.com/blog/?p=7647 Continued]]> Software-Demos-that-Say-I-Hear-You_11zonThis article is really targeted to business teams and managers who are responsible for establishing the software demo process and guidelines within an organization. While my advice definitely affects those who give the demos, my experience has been that those who demonstrate software are usually following a scripted process established by someone else. That is why I am targeting the demo designers here!

When you set out to develop a software demo, you often look for consistency and uniformity, with the idea that you want to ensure that every customer gets a good sense of what the product can do. We want to show all the features and functionality, right?

But, that isn’t what a customer wants.

What is really important is that a particular prospective customer sees and hears things that resonate with them.
If your demo doesn’t show them how to solve their problems, make life easier or satisfy users, you won’t make the sale.

A good software demo is crucial to a sale.

Infographic

If the customer can’t see themselves using your product, there is nothing else to talk about. So…to close the sale, you need first to understand how your product will satisfy your customer. That means, you need to understand your customer’s problems and issues. If you don’t spend enough time talking to your prospect, you won’t make the sale. You have to understand business goals, existing processes, macro factors affecting their business, business user skills, opportunities for growth and change that will improve the bottom line…in short, you need to KNOW your prospect.

Some software companies send out a questionnaire, some take their prospective clients out to lunch or dinner before the demo and pick their brain to find out about their current solutions, their hot buttons and other things that will help them design and plan the demo. If you develop a good set of questions, and ask those questions in person, you can tell a lot about the priorities and painful issues in the organization just by reading body language and facial expressions.

Every word and phrase you use during the demo must tell the prospective client that you were listening and that you understand their pain. You can quote the customer and then proceed to show them how a particular feature resolves their issue or makes their life easier.

Don’t try to show them EVERYTHING.

Show them the things that will make a big impression. You can leave them with brochures and other written information to outline every feature and function. Your one-on-one time should be personal, and targeted to what they need. You want them to KNOW that you heard them and that you have a solution.

You can see that a ‘canned’ demo isn’t going to get you far, can’t you? It might be uniform and it might ensure that every sales person shows every feature deemed important by the organization but it won’t sell much software. Send your new sales people out with a seasoned pro and let them see how they approach the customer, find out what matters to them and then incorporate that information into the demo. Make sure every person on your demo team understands the value of personalizing and creating a one-of-a-kind demo JUST for that client.

We all want to feel that we are understood, that the person we are talking to has heard us and cares enough to help us. That is the foundation of a good demo!

Original Post : Software Demos that Say, ‘I Hear You’​!

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Employ BI Tools and Augmented Analytics for Business Users https://www.elegantjbi.com/blog/employ-bi-tools-augmented-analytics-business-users.htm https://www.elegantjbi.com/blog/employ-bi-tools-augmented-analytics-business-users.htm#comments Sun, 12 Sep 2021 19:50:40 +0000 https://www.elegantjbi.com/blog/?p=7644 Continued]]> succeed-with-bi-tools-and-augmented-analyticsBusiness Intelligence and Augmented Analytics Go Hand in Hand!

Business Intelligence is mandatory! Without intelligence you have no insight into your customer buying behavior, your competition or your organization. In order to achieve business intelligence in today’s environment, you need modern BI tools and augmented analytics that is suitable for your business users.

Your team does not have time to wait for crucial reports or insight when they have to make daily, operational and strategic decisions. The IT team and business analysts do not have the time to field and respond to every business user request and, even if they did, if they are gathering information from various sources and manually analyzing data, it is likely to be out-of-date or incomplete. If they do have an integrated source of data, the reports and requests may still reap little or no benefit. Requests can often fail to consider all the aspects of the situation and that will require a repeat request and more waiting.

When you give your business users business intelligence and augmented analytics tools, you allow them to ask a simple question and get a simple answer – using information from integrated data sources in a simple environment. And, if users think of another question they need to answer, they don’t have to wait for someone else to satisfy the request.

Business Intelligence tools include personalized dashboards to monitor and analyze and allow users to establish key performance indicators (KPIs), dive deep into data to discover the root cause of problems, and engender social business intelligence by sharing data and collaborating with other users. Augmented Analytics enables Smart Data Visualization, Self-Serve Data Preparation and Predictive Analytics and every tool and feature is easy enough for business users to adopt and embrace.

If you want to make encourage your business users to employ data analytics and improve the quality of decisions and shared information, Contact Us to get started with Modern Business Intelligence and Augmented Analytics tools.

Original Post : Succeed with BI Tools and Augmented Analytics!

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What is Isotonic Regression and How Can a Business Utilize it to Analyze Data? https://www.elegantjbi.com/blog/isotonic-regression-business-utilize-analyze-data.htm https://www.elegantjbi.com/blog/isotonic-regression-business-utilize-analyze-data.htm#comments Thu, 09 Sep 2021 19:02:04 +0000 https://www.elegantjbi.com/blog/?p=7653 Continued]]>

This article provides a brief overview of isotonic regression technique.

What is Isotonic Regression?

Isotonic Regression is a variant of linear regression and allows us to build models in piecewise linear manner i.e., breaking up the problem into few or many linear segments and performing linear interpolation of each function.

This analytical technique is designed to explore the relationship between two or more variables (X, and Y). It is useful in identifying important factors (Xᵢ) that will impact a dependent variable (Y), and the nature of the relationship between each of the factors and the dependent variable.

Isotonic Regression is limited to predicting numeric output so the dependent variable has to be numeric in nature. The minimum sample size is 20 cases per independent variable.

In order to get a comprehensive understanding of Isotonic Regression, let’s look at a sample analysis to determine a student’s chance of admission based upon various academic scores.

Example-Isotonic-Regression

How Can Isotonic Regression Be Helpful for Business Analysis?

If we consider the use cases below, we can see the value of Isotonic Regression.

Use Case – 1

Business Problem: Decide Loan Eligibility based on Applicant’s Annual income, Employment Period, Debt to Income Ratio etc.

Input Data: Predictor/Independent Variable(s) to determine Applicant’s Loan Eligibility:

  • House Ownership Status
  • Job Grade
  • Employment Length
  • Annual Income
  • Loan Verification Status
  • Debt to Income Ratio

Business Benefit:

Loan applicant’s can discover what predictors can lead towards the required loan amount to be eligible for further proceedings in turn ensuring systematic banking approach and also assist banks to check the loan eligibility criteria before sanctioning a loan to the applicant.

Use Case – 2

Business Problem: Predicting diamond prices using basic measurement metrics.

Input Data: Predictor/Independent Variable(s) to determine the price of a Diamond:

  • Carat weight of Diamond
  • Quality of the Cut
  • Diamond Color
  • Clarity
  • Depth
  • The width of the diamond’s table

Business Benefit:

The predictive model will provide details on the pricing of diamonds and enable analysis of the most prominent factors and trends in the diamond market.

About Smarten

The Smarten approach to augmented analytics and modern business intelligence focuses on the business user and provides tools for Advanced Data Discovery so users can perform early prototyping and test hypotheses without the skills of a data scientist. Smarten Augmented Analytics tools include Assisted Predictive ModelingSmart Data VisualizationSelf-Serve Data PreparationClickless Analytics with natural language processing (NLP) for search analyticsAuto InsightsKey Influencer Analytics, and SnapShot monitoring and alerts. These tools are designed for business users with average skills and require no specialized knowledge of statistical analysis or support from IT or data scientists. Businesses can advance Citizen Data Scientist initiatives with in-person and online workshops and self-paced eLearning courses designed to introduce users and businesses to the concept, illustrate the benefits and provide introductory training on analytical concepts and the Citizen Data Scientist role.

The Smarten approach to data discovery is designed as an augmented analytics solution to serve business users. Smarten is a representative vendor in multiple Gartner reports including the Gartner Modern BI and Analytics Platform report and the Gartner Magic Quadrant for Business Intelligence and Analytics Platforms Report.

Original Post: What is Isotonic Regression and How Can a Business Utilize it to Analyze Data?

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Case Study – Augmented Analytics for India Software Services and Technology Company https://www.elegantjbi.com/blog/case-study-augmented-analytics-india-software-services-technology-company.htm https://www.elegantjbi.com/blog/case-study-augmented-analytics-india-software-services-technology-company.htm#comments Wed, 08 Sep 2021 20:44:47 +0000 https://www.elegantjbi.com/blog/?p=7596 Continued]]> The Client has achieved a dynamic global presence as a Technology Consulting and Software Services Company and serves some of the largest fortune 500 companies around the world. The Client employs more than 1000 trained team members and professionals and offers a broad spectrum of IT services including Custom Application Development, Management and Re-Engineering, Backend Integration, Testing and Validation, Technology Evaluation and IT Service Management.

Client has achieved its goal of creating a centralized analytics system. The Smarten solution intuitive interface allows users to make the most out of available data and effectively manage resources, revenue, procurement, business operations, manpower allocation etc. Smarten and the Smarten team supported the Client team and helped the team to track organizational performance to reduce cost and increase profitability of each department without compromising on quality standards.

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Case Study – Smarten Integrates R Scripting for Gujarat Environment Management Institute (GEMI) for Predictive Analysis https://www.elegantjbi.com/blog/case-study-smarten-integrates-scripting-gujarat-environment-management-institute-gemi-predictive-analysis.htm https://www.elegantjbi.com/blog/case-study-smarten-integrates-scripting-gujarat-environment-management-institute-gemi-predictive-analysis.htm#comments Wed, 08 Sep 2021 16:12:47 +0000 https://www.elegantjbi.com/blog/?p=7593 Continued]]> Gujarat Environment Management Institute (GEMI) is an ISO 9001:2008, ISO 14001:2004, OHSAS 18001:2007 certified Autonomous Institute under the auspices of the Gujarat Forest Department agency. The GEMI charter supports the “Think Global, Act Local” concept and is integrally involved in the pursuit of environmental protection for India. The Client team is engaged in assuring sustainable development, and provides research to measure and gauge the impact of various human, economic and industrial activities on the environment. GEMI is focused on developing standards for prevention of negative environmental impacts and performs lab testing on air, water, wastewater, microbiology and soil.

The Smarten Partner required augmented analytics and reporting capability to provide easy-to-use COVID-19 management dashboards to support the needs of the Partner Client using the existing Partner solution. Smarten Augmented Analytics provided a comprehensive set of reporting and analytics tools, e.g., COVID-19 Overview dashboard, COVID-19 State Overview, COVID-19 Detail report, COVID-19 Workflow Real-time snapshot and more. The Smarten team offered critical support to ensure a smooth and efficient deployment of Augmented Analytics and to assure Client end user adoption and satisfaction. The integration of Augmented Analytics within the Partner proprietary Healthcare Information Application, allowed the Partner to improve customer satisfaction and gain recognition and visibility across the industry.

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Can Business Users Really Use BI Tools? https://www.elegantjbi.com/blog/2021/09/08/business-users-bi-tools/ https://www.elegantjbi.com/blog/2021/09/08/business-users-bi-tools/#comments Wed, 08 Sep 2021 10:15:07 +0000 https://www.elegantjbi.com/blog/?p=7584 Continued]]> bi-tools-are-designed-to-help-business-users-succeedDon’t Leave Your Business Users Out in the Cold. Give Them BI Tools!

Don’t underestimate your business users! They have market, domain and professional expertise that add value to the organization and, with the right BI tools and features, business users can gather, analyze and make decisions using data from all across the enterprise. You don’t have to leave the business intelligence and analytics efforts to IT or business analysts or data scientists.

Provide access to self-serve business intelligence tools that allow business users to leverage personalized dashboards, key performance indicators (KPIs), reports, deep dive analytics and metrics that will help them make better decisions on a day-to-day basis and make the best recommendations to management.

No matter how ‘average’ your business user skills are, you can still enjoy this opportunity. Self-serve BI tools are designed for business users and the IT team can provide appropriate access and security to ensure that the right people see and use the right data. These tools are mobile, so users can enjoy these resources on the road and in the office.

With the right BI solution, you can also get out-of-the-box functionality designed for your business function and industry.

If you want your business users to promote, collaborate and adopt the use of data and business intelligence, it is important to provide a strong Modern Business Intelligence foundation designed to support your Business Function, Your Existing Business Applications and the unique needs of your industry. Visit our Blog to find out more about how to encourage Social Business Intelligence within your ranks.

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Citizen Data Scientists Can Make a Huge Difference! https://www.elegantjbi.com/blog/2021/09/06/citizen-data-scientists-huge-difference/ https://www.elegantjbi.com/blog/2021/09/06/citizen-data-scientists-huge-difference/#comments Mon, 06 Sep 2021 17:22:55 +0000 https://www.elegantjbi.com/blog/?p=7580 Continued]]> simple-advice-for-new-citizen-data-scientistsCitizen Data Scientists: Be the Champion and the Change!

If your business has entrusted you with the responsibility of a new role, namely that of Citizen Data Scientist, you may think of it as extra work or some sort of punishment. Nothing can be further from the truth! As a business technology user, you are in a unique position to combine your market, domain and industry expertise and your professional knowledge with augmented analytics that will support your queries, your problem-solving initiatives and your desire to improve on productivity, performance and revenue.

In other words, you can make substantive changes! If your business has not provided the support or culture change you need to fully embrace this role, work with your fellow Citizen Data Scientists to define what you need from your managers and your business executives, IT team or analytical professionals. Ask your business to allow you to take a simple course that will support your new role so that you can work with confidence.

Once you have the support you need, go for it! You can become a champion – one that will work with your fellow business users to show them how and when they can use the new software and analytical tools and how these tools can help every business users to improve their own performance and to add value to the organization. By becoming a champion and providing a resource to answer simple questions, you can also illustrate your additional value.

When you present information in a staff meeting, always use the data you have derived from the augmented analytics data solution. Showing objective metrics and displaying real problems and opportunities using easy-to-read graphics, charts and reports will help you to make your point quickly and effectively – and it will impress management!

Our Article, ‘Provide the Right Augmented Analytics Solution and Features for Business Users’ will provide more detail on these augmented analytics tools to support the Citizen Data Scientist role and improve data literacy.

If you are a newly minted Citizen Data Scientist, you don’t have to do this alone! Contact Us to today or Click Here to explore training for Citizen Data Scientists, designed to help you succeed on your Citizen Data Scientist journey.

Original Post : Simple Advice for New Citizen Data Scientists!

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Self-Serve Data Prep Tools Can Optimize SME Business Budgets and Resources! https://www.elegantjbi.com/blog/2021/09/01/self-serve-data-prep-tools-optimize-sme-business-budgets-resources/ https://www.elegantjbi.com/blog/2021/09/01/self-serve-data-prep-tools-optimize-sme-business-budgets-resources/#comments Wed, 01 Sep 2021 15:18:01 +0000 https://www.elegantjbi.com/blog/?p=7570 Continued]]> self-serve-data-prep-tools-can-optimize-sme-business-budgets-and-resourcesSmall and medium sized businesses (SMEs) often find it difficult to balance the day-to-day need for data with the cost of employing data scientists or professional analysts to help with forecasting, analysis, data preparation and other complex analytical tasks.

A recent Gartner study found that by 2022, data preparation will become a critical capability in more than 60% of data integration, analytics/BI, data science, data engineering and data lake enablement platforms.

If this assumption is correct, SMEs will have to find a way to satisfy the need for advanced analytics and fact-driven decision-making, if these businesses are going to grow and compete.

self-serve-data-prep-tools-can-optimize-sme-business-budgets-and-resources

Data is everywhere in modern organizations and small and medium sized businesses are no exception! The tasks involved in gathering and preparing data for analysis are just the first steps. To make the best use of that data, the organization must have advanced analytics tools that can help them analyze and find patterns and trends in data and build analytics models. But these steps can be labor intensive and, without a suitable self-serve data preparation tool, the organization will have to employ the services of professional data scientists to get the job done.

Data prep and manipulation includes data extraction, transformation and loading (ETL) and shaping, reducing, combining, exploring, cleaning, sampling and aggregating data.

With a targeted self-serve data preparation tool, the midsized business can allow its business users to take on these tasks without the need for SQL skills, ETL or other programming language or data scientist skills.

Augmented analytics features can help an SME organization to automate and enhance data engineering tasks and abstract data models, and use system guidance to quickly and easily prepare data for analysis to ensure data quality and accurate manipulation. With the right self-serve data preparation tools, users can explore data, use auto-recommendations to visualize the data in a way that is appropriate for a particular type of data analysis and leverage natural language processing (NLP) and machine learning to get at the data using simple search analytics that are familiar and commonly used in Google and other popular search techniques.

Because these sophisticated features are built with intuitive guidance and auto-recommendations, the user does not have to guess at how to prepare, visualize or analyze the data so results are accurate, easy to understand and suitable for sharing and reporting purposes. As small and medium sized organizations face the challenges of an ever-changing market and customer expectations, it will be more critical than ever to optimize business and data management and to make data available for strategic and day-to-day decisions.

To manage budgets and schedules, SMEs will have to achieve more agility and flexibility and look to the business user community to increase data literacy and embrace business analytics.

Original Post : Self-Serve Data Prep Tools Can Optimize SME Business Budgets and Resources!

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Tally Users Can Make Clear, Confident Decisions with Mobile Analytics and Access! https://www.elegantjbi.com/blog/2021/09/01/tally-users-clear-confident-decisions-mobile-analytics-access/ https://www.elegantjbi.com/blog/2021/09/01/tally-users-clear-confident-decisions-mobile-analytics-access/#comments Wed, 01 Sep 2021 10:26:28 +0000 https://www.elegantjbi.com/blog/?p=7562 Continued]]> tally-users-can-make-clear-confident-decisions-with-mobile-analytics-and-access-titleThe Tally ERP Solution accounting and financial application is used around the world and is immensely popular among its users. It is a critical step in the workflow process for finance and accounting professionals and contains crucial data needed to make financial decisions, to provide statutory reports and to support business users as they execute roles and responsibilities. The Tally reporting functionality provides basic reports but, if businesses and team members can incorporate analytics and use the data contained within the Tally solution to illustrate, measure, share and make decisions, this elevated capability will enhance and improve business results and ensure fact-based decisions across the enterprise.

Businesses demand more of their team members today and those demands include the advancement of data literacy and the ability of every business professional to use and understand data and to make recommendations, and perform tasks using factual, clear information on a day-to-day basis. If a business provides mobile analytics within the Tally App, business users can find and use Tally business intelligence, leverage Tally KPIs to establish key performance indicators and measure and monitor results, and use all of that information to make confident decisions – all with access on the road, while working at home or in the office.

The Tally dashboard within the mobile analytics app is easy-to-use and provides clear, visually insightful results that can be shared and leveraged for presentation, decisions and day-to-day actions and tasks.

tally-users-can-make-clear-confident-decisions-with-mobile-analytics-and-access

Your business and users can leverage the best of Tally ERP and combine that power with simple, yet sophisticated business intelligence and analytics reporting to achieve the results needed to improve competitive positioning and to make the right decisions across the enterprise. A Software as a Service (SaaS) solution makes data accessible from anywhere and is cost-effective, quick to implement (within minutes, rather than weeks or months) with no implementation or customization costs or extensive training requirement.

SmartenApps for Tally allows users to leverage the popular, familiar Tally app and provides access to analytics via Web and Mobile App options in a Software as a Service (SaaS), easy-to-use, cost effective environment. Explore SmartenApps for Tally and Register Now to get started!

Original Post : Tally Users Can Make Clear, Confident Decisions with Mobile Analytics and Access!

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Combine Data Literacy and Digital Transformation! https://www.elegantjbi.com/blog/2021/08/31/combine-data-literacy-digital-transformation/ https://www.elegantjbi.com/blog/2021/08/31/combine-data-literacy-digital-transformation/#comments Tue, 31 Aug 2021 12:18:30 +0000 https://www.elegantjbi.com/blog/?p=7557 Continued]]> your-business-can-and-will-benefit-from-improved-data-literacyIs Improved Data Literacy Really THAT Important for My Business?

Why do your business team members need to be data literate? If your business is like most, it struggles to keep up with trends and to understand whether, when and how to implement enterprise-wide initiatives. You must convince your senior team and board of directors that these changes (which may be time-consuming and costly) are worth the effort. So, when a business manager says that her/his team needs to be more data literate, these same questions will arise.

Why do you need to improve data literacy and, if you do, how do you transform your business team? Data Literacy is important because it allows business users at every level to use all the data you gather within your systems and solutions. You may be entering data to track sales in reports or to comply with industry or government reporting needs for accounting and financial investment. BUT, that data, along with all the other data buried in your enterprise systems is your most important asset! If you are to understand what objectives you will meet, what tasks and processes are supporting these objectives and where you need to make changes, you need team members who can gather, filter and analyze data and understand the results.

With this kind of skill, team members can use data to make the best decisions, to find opportunities, to share and collaborate and to make the best recommendations to advance the interests of the team and the organization. If you want to implement this kind of capability and encourage data literacy, you will need a digital transformation (first and foremost) to review your systems and solutions, ensure that systems are integrated so that you can automate processes and approval tasks wherever possible AND you will need augmented analytics that your team can use without data science skills.

Allow your team members to leverage their own professional skills, developed throughout their career, and apply those skills to the review and analysis of data. If you provide easy augmented analytics tools, you give your team flexible dashboards and reporting capability so they can share information. You can encourage power users and champions to use and share data and create data popularity and improved data literacy.

This kind of data literacy and digital transformation initiative require a culture shift and continuous improvement within and across the organization. Engaging an expert IT consultant to help your business succeed and is an important factor in planning and implementing this kind of comprehensive enterprise-wide plan.

Leverage the power of Data Literacy, and provide support for Digital Transformation. Read our White Paper ‘Preparing Your Business For Digital Transformation (Dx) And Data Literacy.’

Original Post : Your Business CAN & WILL Benefit From Improved Data Literacy!

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Sampling Data using Smarten Augmented Analytics! https://www.elegantjbi.com/blog/2021/08/25/sampling-data-smarten-augmented-analytics/ https://www.elegantjbi.com/blog/2021/08/25/sampling-data-smarten-augmented-analytics/#comments Wed, 25 Aug 2021 07:44:26 +0000 https://www.elegantjbi.com/blog/?p=7536 Continued]]> sampling-data-using-smarten-augmented-analyticsBy a small sample, we may judge the whole pic!

All of us might have used the concept of sampling in our routine life. For instance, while purchasing vegetables from a shop market, don’t we examine a few to assess the quality of the whole lot? Doesn’t a doctor examine a few drops of blood as a sample in order to draw conclusions about the blood constitution of the entire body? Most of the time while dealing with big data problems, it’s not feasible to collect data from the whole population. Thus, sampling techniques are a useful procedure for selecting a subgroup (i.e., sample) from a population that is expected to be a representative of the whole population, in turn saving the time, cost as well as the efforts needed in examining the complete data. If anything goes wrong with the sample of data, then it will be directly reflected in the final result.

1. Sampling Techniques: Get accurate results from data by employing fewer resources!

Before we get too into the weeds of dealing with Sampling using Smarten, let’s inspect the two widespread sampling techniques i.e., Simple Random Sampling and Stratified Sampling.

1.1    Simple Random Sampling:

The selection mechanism for this sampling technique is purely based on chance wherein every item has an equal chance of being selected. A popular example demonstrating this strategy is a lottery system. This technique is favorable owing to the fact that it is less time consuming as well as economical in nature. However, simple random sampling has shortcomings in obtaining the representative sample for full data collection as well as possesses higher chances of bias.

1.2   Stratified Sampling:

The selection mechanism for this sampling technique is such that the entire population data is divided into subgroups where the members in each of the subgroups have similar attributes and characteristics. A random sample from each of these subgroups is taken in proportion to the subgroup size relative to the population size. These subsets of subgroups are then added to formulate a final stratified random sample. Improved statistical precision is achieved through this method due to the low variability within each subgroup, and the fact that a smaller sample size is required for this method as compared to simple random sampling. This method is used when the researcher wants to examine subgroups within a population. Besides being economical in nature along with being a less time-consuming technique, this methodology has less chance of bias as well as being capable of achieving higher accuracy compared to simple random sampling. However, in order to perform stratified sampling, one needs to define the categorical variable by which sub groups should be created. For instance, Age group, Gender, Occupation, Income, Education, Religion, Region etc.

2.     Smarten SSDP (Self-Serve Data Preparation) truly makes Analytics Self-Serve!

Smarten SSDP is a crucial component of Advanced Data Discovery, enabling sophisticated features and functionality in an easy-to-use, intuitive, interactive environment that users will want to adopt and leverage. In addition to various easy to adapt features provided, Smarten SSDP assists in performing Sampling techniques with barely any effort being put in by the business user. Let’s gradually familiarize ourselves in approaching data sampling using Smarten SSDP.

2.1    Open the dataset on which sampling is to be performed and navigate to the sampling icon:

          The highlighted icon depicts the Sampling feature in Smarten:

Sampling-Icon-in-Smarten-SSDP

Sampling Icon in Smarten SSDP

 

2.2      Open the Sampling window to perform further operations:

The next straight-thinking step is to click the Sampling icon and to understand what it offers. The following panel opens up on clicking the Sampling icon:

Sampling-Window

Sampling Window

 

It’s straightforward to understand from this window that smarten offers both the techniques discussed before (i.e., Simple random sampling and Stratified sampling) and the user can choose the best one applicable. Let’s quickly look at each technique utilizing Smarten SSDP.

2.3        Perform simple random sampling using Smarten SSDP:

Simple random sampling can be effortlessly performed on selecting the corresponding radio button. Smarten automatically performs the operations involved and outputs the sampled dataset for the chosen dataset by pressing the Apply button. By default, the sample size is kept to be 30% of the total number of records but the users have flexibility to edit the default set sample size by inputting the percentage of total records for the sample or by simply providing the number of records to be considered for the sample.

Perform-Simple-Random-Sampling-using-Smarten-SSDP

Perform Simple Random Sampling using Smarten SSDP

 

2.4      Perform stratified sampling using Smarten SSDP:

            Stratified sampling can again be simply performed by selecting the corresponding radio button. 

Perform-Stratified-Sampling-using-Smarten-SSDP

Perform Stratified Sampling using Smarten SSDP

 

As this category of sampling a consideration is made that a particular class comes up with proportionate class counts in the sample as well. In order to select the class whose proportion is to be maintained, one must select it from the drop-down list provided as follows:

Selecting-the-class-for-generating-proportionate-counts-in-the-sample

Selecting the class for generating proportionate counts in the sample

 

Smarten automatically performs the subsequent operations involved and outputs the sampled dataset for the chosen dataset by pressing the Apply button. By default, the sample size is kept to be 30% of the total number of records in this technique as well and the users have flexibility to edit the default set sample size by inputting the percentage of total records for the sample or by simply providing the number of records to be considered for the sample set.

3.    SmartenInsight: Explore, Discover and Gain insight from data can’t be any easier!

Many a time the same dataset can formulate more than one use-case or the same use-case could be analyzed by different data science algorithms to draw varied insights. It might happen that we would prefer not to disturb our original data but opt for applying sampling techniques after choosing the algorithm technique. SmartenInsight provides this flexibility to its users and provides an option to choose to apply the algorithm technique on the full data or sample data. Generally, when the data is huge, it is advisable to go on with the sample data option in order to attain speed up.

Option-to-run-model-of-full-or-sample-data-in-Smarten-Insight

Option to run model of full or sample data in Smarten Insight

 

In order to reach this screen, create a new SmartenInsight.

Go to New -> SmartenInsight -> Choose the algorithm technique of interest -> Select the dataset of interest 

4.    Smarten Assisted Predictive Modelling: Take the Guesswork out of Planning!

Smarten Insight provides predictive modeling capability and auto-recommendations and auto-suggestions to simplify use and allow business users to leverage predictive algorithms without the expertise and skill of a data scientist. In addition to many fine features provided, Smarten Assisted Predictive modelling also provides utility to sample data even once the requisite machine learning model has been created. Once the algorithm has been applied, we can navigate to the sampling icon and the following screen pops up:

Sampling-option-in-Smarten-Assisted-Predictive-Modelling

Sampling option in Smarten Assisted Predictive Modelling

 

As perceived from the screen, two sampling modes are provided, namely Auto and Manual mode. The Auto mode performs sampling such that the sample size is set to 5000 if the number of records in the studied dataset is more than 5000, else the sample size corresponds to the full data. By default, Auto mode is selected. However, the users are provided an option to select the sample size and sampling technique of their interest by switching to the Manual mode for sampling.

5.     Nobody is Perfect! The data we are surrounded by might have Class Imbalance imperfection

Often while dealing with classification problems, the number of observations belonging to one class are significantly lower/higher than those belonging to other classes, in simpler terms, the data is skewed towards some particular class observations leading towards deteriorating predictive performance specifically for the minority class. Class imbalance poses a threat while performing classification as the model might treat the minority class as a noise and fail to predict that class besides proclaiming good accuracy. In such a scenario, handling the imbalanced data becomes crucial and one of the renowned approaches to deal with this is to resample the data.

5.1   Handling Class Imbalance by simply resampling data differently

One of the noteworthy and straightforward approaches to deal with this problem is to resample the dataset either by decreasing the abundance of the majority class or by increasing the frequency of the minority class leading towards reducing the ratio between the class frequencies for performing better classification. The techniques are well known as Under sampling and Oversampling respectively.

5.1.1  Under sampling – Deleting samples from the majority class

Consider fraud detection in banking. The banking events, like debit or credit card transactions or money transfers, are predominantly valid. Only a small percentage of events are fraudulent, which leads to an imbalanced dataset. Now if an organization is trying to get better at identifying fraudulent events, this imbalanced data could skew it toward wrongly labeling transactions. In order to gain real insight from such an imbalance data, we can put to use under sampling as a resampling technique which seeks to randomly remove samples from the majority class in order to maintain an equivalent ratio among all classes. This technique is well suited when there is plenty of data for accurate analysis as here, we are removing information from the majority class in order to make a balanced dataset. However, it is always important to consider the prospects of valuable information being deleted as we randomly remove them from our data set.

5.1.2  Oversampling – Duplicating samples from the minority class

Let’s contemplate another real-life use case exhibiting the class imbalance problem. Consider the customer churn use case wherein the vast majority of customers stay with the service (the “No-Churn” class) and a small minority cancel their subscription (the “Churn” class). To get appropriate predictions, we can apply oversampling to increase the number of instances in the minority class by randomly replicating them in order to present a higher representation of the minority class in the sample. This technique overcomes the drawback of under sampling by not leading to any information loss from the data. However, it poses a drawback of retarding the training process as well as can give rise to overfitting in the classification model.

6.     It’s a Wrap! 

Now that we have covered the prominent techniques to sample the dataset of interest as well as utilizing them in a straightforward manner using Smarten augmented analytics, we are all set to tackle any huge data by employing apt sampling techniques and win accurate outcomes. It can be comprehended that better data does not always mean more data. Though having more data, both in terms of a greater number of records and more features to study is a blessing, directing essential efforts in utilizing crucial components from the data in order to obtain correct insights is vitally important.

Note: This article is based on Smarten Version 5.0 as the base. This may or may not be relevant to the Smarten version you may be using.

Original Post : Sampling Data using Smarten Augmented Analytics!

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Augmented Analytics with Tools to Support Tally ERP Users! https://www.elegantjbi.com/blog/2021/08/24/augmented-analytics-tools-support-tally-erp-users/ https://www.elegantjbi.com/blog/2021/08/24/augmented-analytics-tools-support-tally-erp-users/#comments Tue, 24 Aug 2021 10:51:54 +0000 https://www.elegantjbi.com/blog/?p=7550 Continued]]> augmented-analytics-and-tally-erp-go-hand-in-handWith Augmented Analytics Tally ERP Users Can Analyze and Improve Results!

The Tally ERP solution is popular for a lot of reasons. With its broad and deep features and functionality, it supports accounting, finance, purchasing, inventory and other financial tasks and activities. With so much meaningful information, a business can create a competitive edge by finding a way to gather and analyze all the information contained in the various modules to make decisions, identify issues and find opportunities and trends and patterns that will affect business success.

The business professionals who use this type of solution are not data scientists but they don’t have to be. If the business establishes a foundation for analytics with an augmented analytics application that integrates the data in Tally with an easy-to-use augmented analytics solution, it can leverage the information in the Tally system. Pre-built reports and flexible views and displays allow business users to gain critical insight into data.

All team members are under pressure to make the right recommendation, and to find and solve problems before they affect business success. In this day and age, businesses cannot afford to use opinion or guesswork. They need facts and data to support the direction they are taking.

A comprehensive solution provides reports that include:

  • Sales and Purchasing with key performance indicators (KPIs) to provide metrics that will measure success.
  • Bank and Cash reporting to reveal patterns in banking and cash over time.
  • Payables and Receivables to track products, services and categories and report on debtors and creditors and identify and predict overdue payments, etc.
  • Inventory analysis to identify shortages and overages, supplier issues, etc.
  • Tax reporting to estimate tax obligations, analyze taxes for upcoming payments etc.
  • Cost Center analysis to reveal balances, accounts and association with ledgers, etc.
  • Ledger analytics for entries, balances, drill-down and voucher level analysis.
  • Drill Down reporting with pre-built views and drill down into ledger and transaction levels.
  • Accounting Statements for accountants, statutory reporting and balance sheet review, trial balances, P&L etc.
  • Overview reports for monthly trends, top and bottom analysis, contribution analysis, KPIs etc.
  • Report suite to slice and dice data by vendor, product, service, cost, sales person, location, customer, inventory, purchasing, etc.

If you are a Tally user, you can provide users and your business managers with the tools they need to compete and succeed, AND you can evaluate the solution for free, and determine the business benefits. Find out more about SmartenApps For Tally analytics.

Contact Us to today to find out how SmartenApps for Tally can help you achieve your goals.

Original Post : Augmented Analytics and Tally ERP Go Hand-in-Hand!

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Smarten Support Portal Updates – August – 2021! https://www.elegantjbi.com/blog/2021/08/20/smarten-support-portal-updates-august-2021/ https://www.elegantjbi.com/blog/2021/08/20/smarten-support-portal-updates-august-2021/#comments Fri, 20 Aug 2021 12:24:57 +0000 https://www.elegantjbi.com/blog/?p=7533 Continued]]> smarten-support-portal-updates-august-2021We invite you to explore our latest knowledgebase articles and to join the Smarten user community on Smarten Support Portal.

If you have not registered yet, Click Here to obtain your login credentials.

 

 

 

 

 

 

Knowledgebase Articles

  1. Embedded / API Integration : API Call to rebuild cubes / datasets
  2. License key : Adding new license key / Updating an existing key

Forum Topics

  1. Embedded / API Integration: How to rebuild cubes/ datasets through API call?
  2. Email Settings : Can I use two factor SMTP account for outgoing emails from Smarten server?

Usecases

  1. Split the dataset columns using Regex

If you don’t find what you need in the Support Portal, we hope you will contact us with your questions, comments or suggestions. We are here to help and to support your business goals and success!

URL: Smarten Customer and Partner Community
Email: support@Smarten.com

Original Post : Smarten Support Portal Updates – August – 2021!

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Case Study – Smarten Augmented Analytics Delivers COVID-19 Data Management & Analytics for U.S. Healthcare Business https://www.elegantjbi.com/blog/case-study-smarten-augmented-analytics-delivers-covid-19-data-management-analytics-us-healthcare-business.htm https://www.elegantjbi.com/blog/case-study-smarten-augmented-analytics-delivers-covid-19-data-management-analytics-us-healthcare-business.htm#comments Thu, 19 Aug 2021 15:49:17 +0000 https://www.elegantjbi.com/blog/?p=7588 Continued]]> The Smarten Partner is a healthcare service provider in the United States, providing a web-based, patient-centric, healthcare management solution and workflow solutions to assist hospitals and healthcare facilities, increase operational efficiency and reduce costs. One of the Partner Clients is a multispecialty physicians group offering medical management clinical research and other primary and urgent care services. This Client offers COVID-19 vaccination programs with services including COVID testing and vaccination management.

The Smarten Partner required augmented analytics and reporting capability to provide easy-to-use COVID-19 management dashboards to support the needs of the Partner Client using the existing Partner solution. Smarten Augmented Analytics provided a comprehensive set of reporting and analytics tools, e.g., COVID-19 Overview dashboard, COVID-19 State Overview, COVID-19 Detail report, COVID-19 Workflow Real-time snapshot and more. The Smarten team offered critical support to ensure a smooth and efficient deployment of Augmented Analytics and to assure Client end user adoption and satisfaction. The integration of Augmented Analytics within the Partner proprietary Healthcare Information Application, allowed the Partner to improve customer satisfaction and gain recognition and visibility across the industry.

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Elegant Entrepreneur: I QUIT! What Happens After You Resign https://www.elegantjbi.com/blog/elegant-entrepreneur-quit-resign.htm https://www.elegantjbi.com/blog/elegant-entrepreneur-quit-resign.htm#comments Wed, 18 Aug 2021 13:11:57 +0000 https://www.elegantjbi.com/blog/?p=7527 Continued]]> elegant-entrepreneur-i-quit-what-happens-after-you-resignThis is the second and final article in the ‘I Quit’ series. These articles are meant to provide you with some insight into the resignation process from an employer perspective. In this article, I will discuss what happens (or should happen) after you tell your manager you are leaving the company.

As I mentioned in the first article, entitled, ‘ I QUIT! The When and How of Resignation‘, I have accepted numerous resignations in my time as a business owner and manager, and the nature and tone of those resignations is as varied as the people working in and with my business over the past twenty years. After years of experience, I have concluded that, while there are many ways to quit your job, there are definitely right ways and wrong ways to take on this process. If you haven’t already read the first article in this series, you will want to do so. It covers the ‘when’ and the ‘how’ of the resignation process.

So, let’s talk about what happens during the time after you resign and before you leave the company. Once you deliver your resignation letter and meet with your manager, you might think the important steps are finished. But, there is much to be done, before you leave, and those tasks are important, not only for your employer but for your reputation and your professional future.

Before You Go

Once you have given notice, you can discuss your remaining time at the company. Those notes you took before the meeting will come in handy here. Make suggestions on how you might ease the transition. Can you train a particular person or team to take over responsibilities while your manager searches for a replacement? Is there someone in particular your manager might consider as your replacement? Could you train them? What projects do you need to complete? Outline the tasks and tell your manager what you expect to complete before your departure.

After you talk to your manager, and to HR and your team, resist the temptation to kick back and wait for your departure date. Get the work done. Do not disrupt the work process. If you are leaving because you are unhappy, do not engage in poisonous rhetoric in the break room or encourage others to leave. Do your job and impress others with your professionalism.

Before your last day, be sure all exit paperwork is complete, and that you have taken care of all benefits, experience certificates, relieve letters, etc.

After You Leave

Here is the point where I tell you why you want your employer to be happy! Whether your relationship with your prior employer was good or bad, your ex-manager, your teammates and colleagues will remember your professionalism.

You finished your last day at the company and you are moving on – hopefully to a great new job in a new company. Whether you know it or not everyone was watching you and judging how you handled the resignation process. Younger team members will learn from your behavior. Your old colleagues may leave the company and you may wish to hire them or have them considered for employment in your new company. They will WANT to work with you because they perceive you as being professional. Your ex-manager may become a client when you start your new business. You may be nominated for an industry panel or position by someone with whom you used to work. All of those things are possible and some are probable.

Most of us work in a small professional community and our behavior and attitude follow us from one company and career experience to another.
THAT is why you want your ex-manager to be grateful.
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Oh, and one last thing before you update your resume and put that previous job in the rearview mirror! Keep in touch with your previous team, your ex-manager, your professional contacts. Call them and ask if they are going to an industry event and arrange to meet them there for a cup of coffee. Call to ask how they are doing. Call your manager a month or two after you leave and ask how things are going. Offer to answer any questions they might have.

In short, be mature and professional, and make your old colleagues miss you.

That’s the way to resign!

Original Post : Elegant Entrepreneur: I QUIT! What Happens After You Resign!

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Your Team Can Use Assisted Predictive Modeling! https://www.elegantjbi.com/blog/2021/08/17/team-assisted-predictive-modeling/ https://www.elegantjbi.com/blog/2021/08/17/team-assisted-predictive-modeling/#comments Tue, 17 Aug 2021 10:14:59 +0000 https://www.elegantjbi.com/blog/?p=7524 Continued]]> leverage-predictive-analytics-for-your-business-and-teamPredictive Analytics Is Within the Reach of Your Business Users!

Today, business planning is harder than ever. No one knows what is coming next and considering the changes in customer needs and expectations is just one of the issues. How about competition? What about new technology and how it will affect your products and services? What about the need for skills and new training for your team members and candidates? How about access to capital and investors?

If you can relate to any or all of these issues, you probably wonder how you can improve the accuracy of your forecasts and planning. Predictive analytics techniques like Association, Time Series Forecasting, Correlation, Clustering, Classification and Regression provide a foundation from which your team can predict results. But, interpreting data can seem impossible for the average team member and learning to use these predictive analytics techniques is not even on their radar!

With Assisted Predictive Modeling and an Augmented Analytics Solution, the average team member can leverage all of these techniques and even receive guidance on which models and methods are best for the type of data they want to analyze so they can quickly and easily perform data analytics without the assistance of IT or data scientists or business analysts.

If the business provides this type of foundational solution, it can support its team members and its objectives and goals with confidence and refine forecasts and predictions to improve clarity and accuracy.

If your business sees the value of Predictive Analytics and wishes to enhance the value of every team member, Contact Us today to get started, and explore our bonus content here: Predictive Analytics

Original Post : Leverage Predictive Analytics for Your Business and Team!

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Include KPI Tools and Mobile BI to Support Users! https://www.elegantjbi.com/blog/2021/08/12/include-kpi-tools-mobile-bi-support-users/ https://www.elegantjbi.com/blog/2021/08/12/include-kpi-tools-mobile-bi-support-users/#comments Thu, 12 Aug 2021 10:43:15 +0000 https://www.elegantjbi.com/blog/?p=7518 Continued]]> modern-business-intelligence-supports-your-usersYour Team Can Use Modern BI Tools to Improve Results and Add Value!

Business Intelligence drives business success. Being able to gain insight out of all the data in your enterprise is crucial to business success today. Your competition is always thinking of new ways to succeed and so should you! If you can provide your business users with BI tools and a simple, easy-to-use BI Dashboard, you can use these BI tools and solutions to achieve results and move your business forward.

If your business team is looking for simple, sophisticated modern business intelligence tools, be sure you choose a solution that includes key performance indicator analytics, and mobile business intelligence capability so your business users can access and leverage business intelligence in the office and on the road. KPI tools will provide critical metrics by which you can measure success and avoid subjective results and opinion-driven decisions.

Nearly every business is under pressure to capitalize on the business knowledge and professional skills of its team members and to give them the analytics and tools they need to make recommendations and suggestions and to solve problems and, most importantly, find and leverage opportunities to improve business results.

If you want your business users to promote, collaborate and adopt the use of data and business intelligence, it is important to provide a strong Modern Business Intelligence foundation designed to support your business function, your existing business applications and the unique needs of your industry. Visit our Blog to find out more about how to encourage Social Business Intelligence within your ranks.

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Tally Users Can Go Beyond Data to Gain Insight Into the Business with Mobile App Analytics! https://www.elegantjbi.com/blog/2021/08/11/tally-users-data-gain-insight-business-mobile-app-analytics/ https://www.elegantjbi.com/blog/2021/08/11/tally-users-data-gain-insight-business-mobile-app-analytics/#comments Wed, 11 Aug 2021 13:03:38 +0000 https://www.elegantjbi.com/blog/?p=7511 Continued]]> tally-users-can-manage-results-with-analytics-and-ally-kpi-key-performance-indicators-titleThe Tally ERP Solution is an accounting and financial application that is used by many business professionals around the world. It has gained in popularity since its launch and is a critical piece of the workflow process for finance and accounting professionals. Much of the crucial data a business needs is contained within the Tally app and while Tally reports provide support for users, today’s businesses are working hard to find new ways to compete, new ways to measure and make fact-based decisions and new methods and collaborative techniques to allow team members to share, report on data and make data-driven decisions and recommendations.

By integrating a mobile analytics app with Tally features and functionality, business users can adopt and use simple, pre-built reports and templates and gain insight into data in ways they never could before. With a Tally dashboard designed with business users in mind, and Tally KPI capability, team members can leverage Tally business intelligence in a mobile environment and make decisions and share information while on the road, working from home or…from anywhere.

Are your users tired of staring at columns of Tally ERP data and reports crammed with detail, and STILL not being able to glean the information they need; still not feeling confident in the results they are presenting or the recommendations they make to management? With the right, integrated mobile analytics app, Tally users can leverage a familiar environment without having to learn a whole new software solution and they can drill down and through data to find the root cause of an issue, as well as create visualizations and summary reports that clearly illustrate the results and support the recommendation they are making. They can gain an understanding of issues and discover new opportunities – all without needing the skills of a business analyst and all within a mobile, easy-to-use interface and Tally dashboard.

tally-users-can-go-beyond-data-to-gain-insight-into-the-business-with-mobile-app-analytics

A Software as a Service (SaaS) solution makes data accessible from anywhere and is cost-effective, quick to implement (within minutes, rather than weeks or months) with no implementation or customization costs or extensive training requirement.

Your business and users can leverage the best of Tally ERP and combine that power with simple, yet sophisticated business intelligence and analytics reporting to achieve the results needed to improve competitive positioning and to make the right decisions across the enterprise.

SmartenApps for Tally allows users to leverage the popular, familiar Tally app and provides access to analytics via Web and Mobile App options in a Software as a Service (SaaS), easy-to-use, cost effective environment.  Explore SmartenApps For Tally and Register Now to get started!

Original Post : Tally Users Can Go Beyond Data to Gain Insight Into the Business with Mobile App Analytics!

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Plan for Success and Create Great Citizen Data Scientists! https://www.elegantjbi.com/blog/2021/08/09/plan-success-create-great-citizen-data-scientists/ https://www.elegantjbi.com/blog/2021/08/09/plan-success-create-great-citizen-data-scientists/#comments Mon, 09 Aug 2021 04:42:21 +0000 https://www.elegantjbi.com/blog/?p=7502 Continued]]> dont-fret-you-too-can-be-a-citizen-data-scientistBecoming a Citizen Data Scientist Requires the Right Support and Tools!

If your business has designated you a Citizen Data Scientist, you may feel intimidated and unprepared to take on the role. You are probably a business professional with a lot of knowledge in your chosen career and area of focus and none in the field of data science or business analysis.

If done right, the transition from business user to Citizen Data Scientist does not have to be difficult. But, if the business plans appropriately and provides the right foundation, the transition can be seamless. That transition takes planning and should include:

  • Review and transition of culture to support data literacy and digital transformation as well as provide the support for business users as they take on the new role.
  • Identification of power users, data champions and those within the business teams who will best exemplify the new role and encourage and support others as they take on this new role.
  • Solutions and systems that will support the new roles and allow business users to easily leverage sophisticated augmented analytical tools like self-serve data preparation, smart data visualization and assisted predictive analytics, designed to support business users as they gather and analyze data to support business decisions and to make recommendations.
  • Foundational training to explain and support the new role, identify areas and methods of collaboration, and provide examples, use cases and analytical techniques users can work with to get some practice and to gain confidence.

Starting a new job or taking on a new role or more responsibility is always easier if you have support and if you have the information you need to build confidence and to explain and champion your new role with other team members so that everyone becomes comfortable with the new environment.

Our Article, ‘Provide the Right Augmented Analytics Solution and Features for Business Users’ will provide more detail on these tools and how to select the right augmented analytics solution for your business users.

If your business is planning a Citizen Data Scientist initiative, you don’t have to do this alone! Contact Us to today or Click Here to explore training for Citizen Data Scientists, designed to help you begin your Citizen Data Scientist journey.

Original Post : Don’t Fret! You Too Can Be a Citizen Data Scientist!

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Small and Mid-Sized Businesses Embrace Advanced Analytics and Improve Productivity and Empowerment! https://www.elegantjbi.com/blog/2021/08/04/small-mid-sized-businesses-embrace-advanced-analytics-improve-productivity-empowerment/ https://www.elegantjbi.com/blog/2021/08/04/small-mid-sized-businesses-embrace-advanced-analytics-improve-productivity-empowerment/#comments Wed, 04 Aug 2021 08:00:50 +0000 https://www.elegantjbi.com/blog/?p=7495 Continued]]> small-and-mid-sized-businesses-embrace-advanced-analytics-and-improve-productivity-and-empowermentA recent study published by Gartner revealed that 10% of midsize organizations currently have some form of prescriptive analytics. This is forecast to grow to 36%. You may be wondering why the use of predictive analytics is growing so rapidly in midsized companies, and it is worth noting that, while there are numerous benefits to this type of solution, one of the primary reasons for this growth is improved productivity and employee value.

No business manager wants to waste precious funding and resources on tasks or tools that do not advance the interests of the organization. Competition is challenging and customer buying behavior can shift and change. Predictive analytics can help the organization understand the market, its need for training, resources, new products, changes to marketing messages, equipment and facilities expansion, supplier network changes and more!

Where a business can reduce the time it takes to make a decision and, at the same time, make that decision more fact-based, it will enjoy better return on investment (ROI) and lower total cost of ownership (TCO). If business users can participate in the advanced analytics process, with augmented analytics that provide auto-suggestions and recommendations to help the user through the process, the process is more agile and users can work more efficiently.

With assisted predictive modeling, smart data visualization and self-serve data preparation tools, a small and medium sized business can speed the analytical process, enable its business users with intuitive tools and allow its data scientists and analysts to focus on more strategic goals.

Even the smallest business is inundated with data and it is easy for business users to be overwhelmed when trying to take it all in and analyze the data to make a decision. Using augmented analytics, the organization can support small and medium sized (SME) business users and allow them to interact with data in a flexible environment, so they can gain insight, spot trends and opportunities and solve problems.

SMEs that embrace comprehensive assisted predictive modeling and predictive analytics can achieve results in less time and make team members more productive, collaborative and accountable.

Original Post : Small and Mid-Sized Businesses Embrace Advanced Analytics and Improve Productivity and Empowerment!

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Leverage Self Serve Data Preparation for All Users! https://www.elegantjbi.com/blog/2021/08/03/leverage-serve-data-preparation-users/ https://www.elegantjbi.com/blog/2021/08/03/leverage-serve-data-preparation-users/#comments Tue, 03 Aug 2021 13:38:35 +0000 https://www.elegantjbi.com/blog/?p=7487 Continued]]> is-self-serve-data-prep-suitable-for-business-usersSelf Service Data Preparation Makes Data Accessible to Business Users!

Preparing data for analysis used to be a long, difficult process performed by IT or data scientists. Needless to say, that process meant that business users could not get the job done. They were forced to make a request, wait for the process to be completed and then, more than likely, for the same team to actually perform the analysis. If the data prep was not accurate or was incomplete, the process starts all over OR produces poor results and, in many cases, those poor results are not obvious to the business user. What does that mean? It means that the business is using information and results that they do not know are wrong!

SO…when Augmented Analytics evolved to include Self-Serve Data Preparation, businesses could provide better results AND access for business users without data science or analytical skills.

Self Service Data Prep allows a business user with average technology skills to gather and prepare data to explore, clean, shape, reduce, and combine data with tools that auto suggest relationships, JOINS and type casts, and allow users to connect, and mash up data, to sample outliers, to determine data lineage and collaborate with full insight into where the data came from and whether it is dependable. Users can search data, profile and catalogue, all without the assistance of IT or data scientists. So, those users can fulfill roles and responsibilities without delay and with confidence.

With Augmented Analytics and Self-Serve Data Preparation, businesses can improve productivity for business users and for the data scientists and IT teams that support them. By reducing user dependence on these specialists, the business can optimize the time of all team members, engender data popularity, improve data quality and dependability, and champion the use of data across the enterprise.

If you want to make encourage your business users to adopt and leverage Self-Serve Data PrepContact Us to get started. Read our Bonus Content on Self-Serve Data Preparation

Original Post : Is Self-Serve Data Prep Suitable for Business Users?

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Understand the Value of Augmented Analytics for Your Team! https://www.elegantjbi.com/blog/2021/07/27/understand-augmented-analytics-team/ https://www.elegantjbi.com/blog/2021/07/27/understand-augmented-analytics-team/#comments Tue, 27 Jul 2021 06:43:07 +0000 https://www.elegantjbi.com/blog/?p=7480 Continued]]> does-augmented-analytics-really-help-my-team-perform-betterDo You See the Value of Augmented Analytics for Every User?

If you own an auto mechanics business, you know that tools and equipment are key to your business success. Without the right tools, your mechanics cannot perform routine tasks, test modern automobile computerized systems or serve customers. The same holds true for any other type of business. Your team needs the right tools and equipment to perform routine tasks and to analyze and solve problems.

Today, nearly every business is engaged in democratizing data and in improving data literacy and initiating digital transformation – all in hopes of improving business results and increasing the value of each team member. When you combine the skills and knowledge of a business professional with the right tools, the results are undeniable. Whether you are running an auto mechanics business, a financial services business, a manufacturing business, an eCommerce shop or a healthcare practice, analyzing the data you gather and using that data to make decisions is crucial to your success.

You have a lot of data hidden in databases, best-of-breed software apps, legacy systems, the Cloud, and other data repositories. When you bring that data together in an intuitive, integrated environment, and provide access to your business users, you allow them to apply their domain and industry knowledge to the data they gather and to use that combined knowledge and data to make recommendations, to change or adapt processes, to plan for training or equipment maintenance, to understand what resources to hire and when, where to open new locations, which customers to target with marketing and what type of message works best, etc.

To leverage all of that wonderful information, you need augmented analytics solutions that are easy enough for every team member to adopt and reports that are clear. You need built-in suggestions and recommendations that will guide the user to choose the right visualization techniques to clearly understand results for a particular type of data, and suggest the right algorithm or analytical techniques to predict and forecast results and to test theories and hypothesize. With the right tools, your business users do not need to be data scientists or business analysts. They just need to ask a question and they can instantly get the answers they need without the help of IT or data analysts.

If your business sees the value of Analytics For All and the enhancement of the value of every team members, Contact Us today to get started, and explore our bonus content here: Provide the Right Augmented Analytics Solution and Features for Business Users.’

Original Post : Does Augmented Analytics Really Help My Team Perform Better?

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Smarten Support Portal Updates – July – 2021! https://www.elegantjbi.com/blog/2021/07/26/smarten-support-portal-updates-july-2021/ https://www.elegantjbi.com/blog/2021/07/26/smarten-support-portal-updates-july-2021/#comments Mon, 26 Jul 2021 11:22:28 +0000 https://www.elegantjbi.com/blog/?p=7477 Continued]]> smarten-support-portal-updates-july-2021We invite you to explore our latest knowledgebase articles and to join the Smarten user community on Smarten Support Portal.

If you have not registered yet, Click Here to obtain your login credentials.

 

 

 

 

 

 

Knowledgebase Articles

  1. LDAP/AD : AD Integration in Smarten
  2. Assisted Predictive Modelling Use cases : Sampling Data using Smarten Augmented Analytics

Forum Topics

  1. API Integration: How to tackle issues in accessing embedded Smarten objects through API in the latest version of Chrome (chrome 84.0.4147)?
  2. LDAP/AD : How to configure AD in Smarten?

Usecases

  1. Derive Week of year considering the week starts from Saturday
  2. Handling multiple JOINs through Step by Step Procedure to create a dataset

If you don’t find what you need in the Support Portal, we hope you will contact us with your questions, comments or suggestions. We are here to help and to support your business goals and success!

URL: Smarten Customer and Partner Community
Email: support@Smarten.com

Original Post : Smarten Support Portal Updates – July – 2021!

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Tally Users Can Manage Results with Analytics and Tally KPI Key Performance Indicators! https://www.elegantjbi.com/blog/2021/07/21/tally-users-manage-results-analytics-tally-kpi-key-performance-indicators/ https://www.elegantjbi.com/blog/2021/07/21/tally-users-manage-results-analytics-tally-kpi-key-performance-indicators/#comments Wed, 21 Jul 2021 14:47:58 +0000 https://www.elegantjbi.com/blog/?p=7467 Continued]]> tally-users-can-manage-results-with-analytics-and-ally-kpi-key-performance-indicatorsThe Tally ERP Solution is a popular accounting and financial application used by many business professionals for day-to-day data entry and reporting. Business users have become very familiar with this application and they use it to fulfill their responsibilities. But, in today’s business environment, business managers and senior executives are including measurable results and metrics in performance reviews and businesses are expecting every team member to make recommendations and present data that is based on data and measurable results.

There is so much information contained in the Tally ERP solution and, with the right analytics app, business users can gather Tally business intelligence and establish and monitor key performance indicators (KPIs) with ease.

Users can establish and monitor KPIs at the individual, team, department, division and company level. Defined KPIs are not limited itself to static monitoring. KPI Analytics provide interactive options to change frequencies, dimension break downs and drill down to further analyze trends, and reasons for performance and clearly see the root cause of issues to modify activities and tasks and recommend new or modified actions to achieve results.

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Key performance indicators (KPIs) allow business users to work with clear information and to understand what is working and what is not. There is no more guesswork. And, the best part of this integrated analytics approach within the Tally ERP solutions environment? Business users do not have to learn and use a whole new software solution. They can use the familiar Tally interface and the data contained within this environment to analyze, monitor and manage KPIs and make meaningful progress. Business users can review and gain insight into KPIs for monthly, quarterly and yearly KPI and trends, customer and item sales and more.

SmartenApps for Tally allows users to leverage the popular, familiar Tally app to produce Tally Reports that go beyond mere data to provide real insight. Tally KPI and Tally Dashboards allow users to build KPI Analysis that tells a story and is measurable, and provides access to analytics via  Web and Mobile App options in a Software as a Service (SaaS), easy-to-use, cost effective environment.  Explore SmartenApps For Tally and Register Now to get started!

Original Post : Tally Users Can Manage Results with Analytics and Tally KPI Key Performance Indicators!

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I QUIT! The When and How of Resignation! https://www.elegantjbi.com/blog/2021/07/21/quit-resignation/ https://www.elegantjbi.com/blog/2021/07/21/quit-resignation/#comments Wed, 21 Jul 2021 12:02:59 +0000 https://www.elegantjbi.com/blog/?p=7464 Continued]]> elegant-entrepreneur-i-quit-the-when-and-how-of-resignationI have accepted numerous resignations in my time as a business owner and manager, and the nature and tone of those resignations is as varied as the people working in, and with, my business over the past twenty years. After years of experience in this regard, I have concluded that, while there are many ways to quit your job, there are definitely right ways and wrong ways to take on this process.

In this article, I will share my thoughts from an employer’s perspective in hopes of making the resignation process better for all concerned. As an employee, one might not believe there is a reason to do this ‘the right way’. After all, you are leaving the company. Why would you care about your employer’s feelings?

But, it isn’t so much about feelings as it is about finishing what you started in a professional way so that you don’t:

  • Close the door on future relationships, referrals and learning opportunities
  • Damage your own professional reputation and risk ‘bad press’ in your industry
  • Lose the opportunity for continued professional growth and maturity

There are many things to consider, once you have decided to leave your job. Before you outline your plan, here are a few thoughts that might help you tender your resignation ‘the right way’.

When

The standard lead-time for a resignation is one to two months in India, unless you are on a management or executive team, in which case an employment contract or other corporate policies might dictate a longer lead-time. Regardless of the policy, I would encourage you to let your employer know as soon as possible. In most cases, a manager appreciates the advance notice and the opportunity for a smooth transition.

In small companies, the loss of one employee can send the business into a spiral. The more notice you give, the easier the transition and the more grateful the employer will be. We’ll talk later about why you want your employer to be grateful!

How

Unless you are a remote employee who works on the other side of the world, don’t resign by email. Even If you are working remotely, you should at least call your employer to talk about your resignation. Make an appointment to talk. Don’t just drop in, when your manager is busy, or about to go into a meeting.

If you are AT ALL nervous about the resignation (and many people are), jot down some notes so that you are prepared to discuss all the points you want to make. Even if you aren’t nervous, you should consider making some notes; just to be sure you discuss all appropriate issues and work with your manager to establish an interim plan.

Draft a simple, concise, professional resignation letter to deliver to your manager on the day of the meeting. The letter should not outline grievances or provide an emotional venting process for you. If you need to do that, do it for yourself and, after you have gotten it out of your system, destroy the letter.

During the Meeting

Under NO circumstances should you allow yourself to engage in an emotional outburst! No matter how difficult your time or relationship with the company may have been, you should make your last official interaction a positive one. Avoid accusations, yelling, throwing things and definitely avoid violence! These may seem like obvious cautionary statements but we have all seen the viral internet videos of disgruntled employees going berserk. It might feel good at the moment to get things off your chest but this kind of behavior can only hurt you in the long run and in hindsight you are likely to be embarrassed and find yourself in a defensive position trying to explain your behavior and convince others that your manager ‘deserved it’. Take the high road and be mature. Don’t let a ten-minute tirade damage your professional career. No matter what you think: people are watching and judging your behavior and that can affect your career.

If you feel strongly about telling your manager about honest issues in the organization, about circumstances that caused you to leave, do so professionally (that’s where the notes will come in handy). Carefully outline the issues without accusing or attacking anyone. Think of it as if you were telling your manager about issues that someone else on your team has experienced. You are simply laying out the facts. Make suggestions on how to improve or change things, what policies the business might want to change. Take a productive, collaborative approach. Even on your way out the door, you can affect change. You’ll feel good about the exchange, and it may take some of the sting out of the bad experiences you had while you were employed. Remember that your comments may change nothing. But, at least you will have tried! You deserve honest feedback and so does your manager!

Now that we have talked about the worst-case scenario, let’s assume you are leaving on good terms. You will want to tell your manager why you are leaving, e.g., a better opportunity, relocation, a chance to explore a different type of career, going back to school. Be honest. If you enjoyed your time at the company, tell your manager how you feel. Give specific examples about how your team and/or your manager supported you. Be mature and forthcoming!

Whatever you do, don’t lie! Tell the truth about why you are leaving and where you are going – even if you are going to the competition. As long as your contract does not preclude a move to a competitor, it is better to be honest. Remember that you will have to provide references so, eventually, your manager will know where you are going. Better to give your company time to prepare for the reference than to blindside them with a cold call. Resist the temptation to remove your current company from your social media and professional network profiles. If you think this action will avoid awkward reference requests, you are in for a surprise. It is never wise to lie or attempt to hide the truth. It will always catch up with you and your new employer will judge you accordingly.

I hope this article has given you some insight into how an employer views the resignation process. The second article in this special Elegant Entrepreneur series, is entitled, ‘I QUIT! What Happens After You Resign?’. It provides further tips on how to maximize your remaining time in the company and ensure that your resignation and professional approach will leave a great impression and improve your career opportunities in the future. I encourage you to read that article and to use these articles as a blueprint for professional resignation. It will protect you and your career.

Original Post : I QUIT! The When And How Of Resignation!

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Business Users LOVE Smart Data Visualization! https://www.elegantjbi.com/blog/2021/07/20/business-users-love-smart-data-visualization/ https://www.elegantjbi.com/blog/2021/07/20/business-users-love-smart-data-visualization/#comments Tue, 20 Jul 2021 10:06:57 +0000 https://www.elegantjbi.com/blog/?p=7461 Continued]]> smart-data-visualization-really-does-make-you-smarterCan Smart Data Visualization Make My Business Smarter?

All the data in the world can’t help you improve your business results unless you can sift through it and see it in a way that tells a story – a story that leads you to a conclusion, helps you solve a problem or allows you to see how your business can grow, change and succeed. Columnar reports and a sea of data are a barrier to insight. But, that doesn’t have to be YOUR problem.

Augmented analytics with Smart Data Visualization can be your secret weapon!  Here’s how it works…Smart data visualization allows business users to view and analyze data to identify a problem and clarify a root cause and to make confident decisions. Business users can interact easily with data discovery tools and analytics software and build a view that will tell a story using guided visualization and recommended data presentation so there is no need for assistance or delays. Guided recommendations are made based on data type, volume, dimensions, patterns and nature of data.

When you combine cutting-edge technology and machine learning on the backend, with an intuitive user experience on the front end, business users can easily leverage sophisticated tools with suggestions and recommendations on how to personalize data displays to create meaningful views and collaboration. Powerful machine learning provides guidance to determine the visualization technique that will be the best fit for the data business users want to analyze and it allows for better understanding of data, and identifies unusual patterns in data, and achieves the best output and results.

These enable users to identify relationships, patterns, trends and opportunities and to explore detailed data with simple drill down and drill through capabilities and make sense of data from all sources, with a guided approach that allows users to identify patterns and trends, and quickly complete analysis with clear results. This isn’t your father’s excel spreadsheet! Business users can leverage these tools to clearly SEE what is happening, the root cause of a problem or the single nugget of information that will lead you to a new product, an epiphany about price points, etc.

If you want to leverage the power of Smart Data Visualization, provide support for Digital Transformation and your business users, and improve data literacy and clarity, you can start here. Clickless Analytics and the NLP search environment, you can start today. Explore our Blog to find out more about the importance of this meaningful tool and how it can help your business achieve its goals.

Original Post : Smart Data Visualization Really DOES Make You Smarter!

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Smarten Augmented Analytics Introduces Pixel Perfect Print Reports for Custom Format Templates, Forms and Documents! https://www.elegantjbi.com/blog/2021/07/19/smarten-augmented-analytics-introduces-pixel-perfect-print-reports-custom-format-templates-forms-documents/ https://www.elegantjbi.com/blog/2021/07/19/smarten-augmented-analytics-introduces-pixel-perfect-print-reports-custom-format-templates-forms-documents/#comments Mon, 19 Jul 2021 11:35:45 +0000 https://www.elegantjbi.com/blog/?p=7458 Continued]]> smarten-augmented-analytics-introduces-pixel-perfect-print-reports-for-custom-format-templates-forms-and-documentsThe Smarten Augmented Analytics team is pleased to announce the launch of its Pixel Perfect Print Report module. The addition of the Pixel Perfect Print Report features and functionality adds to what is already a robust, user-friendly suite of advanced analytics tools, designed for business users to engender data literacy and digital transformation within the business environment.

Smarten CEO, Kartik Patel says, “We are pleased to introduce our Pixel Perfect Print Report module. This customized print report environment will provide more flexibility for businesses to create forms, reports and documents that meet the unique needs of users, customers and other stakeholders.”

Pixel Perfect Print Reports supports business reporting and documentation needs and allows IT team members and consultants to leverage simple, basic programing or scripting to define and format templates and use data from Smarten datasets and objects to produce stunning pixel perfect reports and deliver those documents at a predefined frequency using delivery and publishing agents.

“With Pixel Perfect Print Reports, our Smarten clients can optimize productivity and easily create forms and documents,” says Patel. “This new reporting capability allows businesses to go beyond columnar, restricted report formats and generate predefined formats for all kinds of department, functional and statutory needs.”

The Smarten Pixel Perfect Print Report environment is easy-to-use, and allows the enterprise to create a forms and template library for all types of documents including customer statements, management reports, newsletters, invoices, account ledgers, annual reports, purchase orders, packing slips with bar codes, and statutory compliance reports, just to name a few.

About Smarten

The Smarten approach to augmented analytics and modern business intelligence focuses on the business user and provides tools for Advanced Data Discovery so users can perform early prototyping and test hypotheses without the skills of a data scientist. Smarten Augmented Analytics tools include assisted predictive modeling, smart data visualization, self-serve data preparation, Clickless Analytics with natural language processing (NLP) for search analytics, Auto Insights, Key Influencer Analytics, and SnapShot monitoring and alerts. These tools are designed for business users with average skills and require no specialized knowledge of statistical analysis or support from IT or data scientists. Businesses can advance Citizen Data Scientist initiatives with in-person and online workshops and self-paced eLearning courses designed to introduce users and businesses to the concept, illustrate the benefits and provide introductory training on analytical concepts and the Citizen Data Scientist role.

Original Post : Smarten Augmented Analytics Introduces Pixel Perfect Print Reports for Custom Format Templates, Forms and Documents!

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Combine Augmented Analytics with Tally Solutions! https://www.elegantjbi.com/blog/2021/07/15/combine-augmented-analytics-tally-solutions/ https://www.elegantjbi.com/blog/2021/07/15/combine-augmented-analytics-tally-solutions/#comments Thu, 15 Jul 2021 08:37:33 +0000 https://www.elegantjbi.com/blog/?p=7454 Continued]]> tally-and-integrated-augmented-analytics-perfect-comboTake Tally Solutions to the Next Level with Integrated Augmented Analytics!

If you are an accounting or finance professional, chances are good you know Tally Solutions and TallyERP. This software application was designed to support your teams and to provide an environment for data entry and reporting and, as such, it is quite popular. This foundational structure allows users to access and work with data for day-to-day tasks and to support the business operation.

But, as business becomes more competitive, accounting and finance professionals are being asked to use the data contained in their databases and software applications to spot trends and patterns, mitigate risk and plan for the future. Integrating augmented analytics into the Tally environment helps business users perform these tasks without the need of a data scientist or a business analyst. Pre-built templates and reports provide a foundation for analysis and sophisticated analytical tools on the backend with intuitive reporting and clear results on the front-end. Business users have the freedom to analyze and share data via a mobile app or in the office via a web browser.

Business users may feel that taking on these analytical tools is daunting and that they do not have the knowledge to use the tools or to understand the results but nothing could be further from the truth. Out-of-the-box analytics and easy-to-use dashboards provide information on banking and sales, purchasing, payables, receivables, inventory, taxes, ledgers, account statements and other information business professionals need.

If you are a Tally user, you can provide users and your business managers with the tools they need to compete and succeed, AND you can evaluate the solution for free, and determine the business benefits. Find out more about SmartenApps For Tally analytics.

Contact Us to today to find out how SmartenApps for Tally can help you achieve your goals.

Original Post : Tally and Integrated Augmented Analytics = Perfect Combo!

 

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What is the Key to Citizen Data Scientist Success? https://www.elegantjbi.com/blog/2021/07/12/key-citizen-data-scientist-success/ https://www.elegantjbi.com/blog/2021/07/12/key-citizen-data-scientist-success/#comments Mon, 12 Jul 2021 12:23:43 +0000 https://www.elegantjbi.com/blog/?p=7449 Continued]]> there-is-help-for-the-frustrated-citizen-data-scientistAre You Feeling Less Than Confident in Your Role as a Citizen Data Scientist?

As a Citizen Data Scientist, your journey may have been rocky. If your business did not plan for the cultural shift, the new workflow and processes, or provide support to help you scale up with intuitive, sophisticated augmented analytics, you probably struggled to find your footing. Perhaps you have yet to find that footing and are still looking for support. No matter where you are on the journey, one thing is for sure, if you don’t have the right tools and techniques to accurately and effectively use data, your Citizen Data Scientist role will not be fulfilled.

Remember, the Citizen Data Scientist is NOT a Data Scientist. Citizen Data Scientists are business professionals with domain, industry or business function knowledge and, in this new environment, they are expected to apply that knowledge to data analytics and use data to make clear recommendations and to base decisions on measurable results and facts, rather than ‘best guess’ or opinion.

If Citizen Data Scientists are to be successful in their role, they need augmented analytics solutions and access to algorithms and analytical techniques in an intuitive environment – one that provides plenty of support, guidance and recommendations to ensure that the visualization they use, or the predictive analytical technique they choose is the right one; the best one to achieve the results and gain the insight they need. They need a solution that provides natural language processing (NLP) search analytics so they can ask questions using normal human language to search and get results. They need tools that are designed to reveal crucial information they need to share, to solve problems or to identify new opportunities for the business.

With the right tools, Citizen Data Scientists can become champions of change and enable improved data literacy, but equally importantly, the Citizen Data Scientist can be confident in their new role and advance the Citizen Data Scientist initiative and the change in culture required for the business to succeed with this initiative. Change is always challenging, but it need not be frustrating or difficult. With the right planning, support and tools, business users and team members can adopt the role of Citizen Data Scientist and become more valuable to the organization.

Our Article, ‘Provide the Right Augmented Analytics Solution and Features for Business Users’ will provide more detail on these tools and how to select the right augmented analytics solution for your business users.

If your business is planning a Citizen Data Scientist initiative, you don’t have to do this alone! Contact Us to today or Click Here to explore training for Citizen Data Scientists, designed to help you begin your Citizen Data Scientist journey.

Original Post : There Is Help For The Frustrated Citizen Data Scientist!

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Smarten Announces SmartenApps for Tally, Out-of-the-Box Augmented Analytics Mobile App and Web Portal! https://www.elegantjbi.com/blog/2021/07/08/smarten-announces-smartenapps-tally-out-of-the-box-augmented-analytics-mobile-app-web-portal/ https://www.elegantjbi.com/blog/2021/07/08/smarten-announces-smartenapps-tally-out-of-the-box-augmented-analytics-mobile-app-web-portal/#comments Thu, 08 Jul 2021 11:31:01 +0000 https://www.elegantjbi.com/blog/?p=7446 Continued]]> smarten-announces-smartenapps-for-tally-out-of-the-box-augmented-analytics-mobile-app-and-web-portalSmarten is pleased to announce its SmartenApps for Tally® augmented analytics solution. SmartenApps is designed to integrate with Tally ERP via cloud-based access for easy user access and on-the-road task completion. With SmartenApps for Tally, business users can access Tally ERP Solutions data on iOS or Android via mobile application or web portal via browser-based access to display dashboards, KPIs, reports and more!

Kartik Patel, CEO of Smarten and SmartenApps says, ‘Our team designed this augmented analytics integration to provide seamless modern business intelligence and reporting and advanced analytics and to enable data-driven decisions, gain insight into issues, and identify opportunities with elegant, simple, secure technology and architecture and intuitive dashboards, KPI and reports.’

SmartenApps for Tally includes key business parameters, e.g., Sales, Purchase, Payable & Receivable, Income & Expense, Cash & Bank and Duties and Taxes, and monthly trends. out-of-the-box with analytics, dashboards and reports that include an Overview, Sales & Purchase, Bank and Cash, Payables and Receivables, Inventory, Taxes, Cost Center, Ledger, Drill-Down, Accounts Statements, and Reports.

‘Users have near real-time access to transactions and data with web and mobile access,’ Patel says. ‘And the app provides the value of analytics integration and fact-based decision-making with rapid start-up and timely access to support.’

Accredited by Gartner and recognized for its intuitive, easy-to-use analytics, Smarten offers stunning visualization, dynamic charts and graphs. SmartenApps for Tally is free to download and evaluate, with simple, affordable licensing fees thereafter. Download now for Web Portal and Mobile App.

SmartenApps For Tally  provides crucial business user support using a foundation of the Smarten augmented analytics suite. Explore the features and benefits of SmartenApps for Tally now.

Original Post : Smarten Announces SmartenApps for Tally, Out-of-the-Box Augmented Analytics Mobile App and Web Portal!

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Can I Improve My Shopify Store Competitive Position? https://www.elegantjbi.com/blog/2021/07/07/improve-shopify-store-competitive-position/ https://www.elegantjbi.com/blog/2021/07/07/improve-shopify-store-competitive-position/#comments Wed, 07 Jul 2021 16:24:08 +0000 https://www.elegantjbi.com/blog/?p=7442 Continued]]> how-can-i-improve-my-shopify-business-resultsAnalytics Can Take Shopify (and your business) to the Next Level!

The Shopify management team has spent a lot of time and effort building its brand and its popularity around the world. Shopify has many features that appeal to eCommerce and online business owners. In today’s competitive online shopping environment, these features, combined with the ability to easily analyze the data within the Shopify application and use that analysis to make business decisions can mean the difference between business success and failure.

Customers want the best shopping experience and the business must focus on which customers are buying which products, where and how they can bundle products to gain more traction, where sales trends are going and what product, pricing and marketing strategies will get them where they want to go. But, the average eCommerce business team member is not a data scientist, so it is important to provide simple tools for analytics and to integrate that analytics capability within the familiar Shopify application so that users do not have to learn complex analytics tools or use unfamiliar, complicated analytical techniques to get the results they need.

eCommerce team members are engaged in the day-to-day and operational aspects of running an online business. What they need is rapid analytical techniques, analytical report templates and easy insight into data. They need to quickly understand the problems and see how to solve them and they want to get meaningful information that will help them innovate and create new products and ideas to attract customers.

If you are a Shopify user, you can Integrate Shopify With Augmented Analytics, and provide users and your business users with the tools they need to compete and succeed. Find out more about Shopify eCommerce analytics in our article, Are You Succeeding at eCommerce? If You Don’t Know, You NEED Integrated Analytics.’

Contact Us to today to find out how SmartenApps for Shopify can help you achieve your goals.

Original Post : How Can I Improve My Shopify Business Results?

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The Important Components of Augmented Analytics! https://www.elegantjbi.com/blog/2021/07/05/important-components-augmented-analytics/ https://www.elegantjbi.com/blog/2021/07/05/important-components-augmented-analytics/#comments Mon, 05 Jul 2021 13:27:49 +0000 https://www.elegantjbi.com/blog/?p=7437 Continued]]> the-ease-of-augmented-analytics-includes-numerous-componentsAutoML, NLP and Clickless Analytics Come Together to Produce Auto Insights!

When it comes to the new world of analytics, the augmented analytics approach allows business users with no data science background to readily access and use analytics in an intuitive way. There are some important aspects of this approach, including auto machine learning, natural language processing (NLP) and intuitive search analytics.

Machine Learning via AutoML allows users to leverage systems and solutions that are designed with Machine Learning capabilities to predict outcomes and analyze data. Auto ML is the automated process of features and algorithm selection that supports planning, and allows users to fine tune, perform iterative modeling, and allows for the application and evolution of machine learning models. Machine Learning Algorithms allows the system to understand data and applies correlation, classification, regression, or forecasting, or whichever technique is relevant, based upon the data the user wishes to analyze. Results are displayed using visualization types that provide the best fit for the data, and the interpretation is presented in simple natural language. This seamless, intuitive process enables business users to quickly and easily select and analyze data without guesswork or advanced skills.

With natural language-processing-based search capability, users do not need to scroll through menus and navigation. The business can address complex questions using this simple search capability with a contextual flexible search mechanism that provides one of the most flexible, in-depth search capability and results offered in the market today.

Clickless Analysis and contextual search capabilities go beyond column level filters and queries to provide more intelligence support and translate the contextual query and returns results in an appropriate format, e.g., visualization, tables, numbers, or descriptors. It takes natural language processing search analytics (NLP) and predictive modeling for business users to the next level and frees business users to produce accurate, clear results, quickly and dependably, using machine learning that frees the business user to collect and analyze data with the guided assistance of a ‘smart’ solution.

This foundation and these techniques come together to enable the enterprise and its business users to perform complex data analytics and share analysis across the organization in a self-serve, mobile environment. It brings the power of sophisticated, advanced analytics and smart data visualization to the next level with tools for automated data insights.

If you want to make encourage your business users to adopt and leverage the Clickless Analytics approach to NLP search analytics, and capitalize on intuitive Search Analytics and Auto Insights features that improve results and user adoption, Contact Us to get started. Read our Blog to find out more about Clickless Analytics and Natural Language Processing.

Original Post :  The Ease of Augmented Analytics Includes Numerous Components!

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Citizen Data Scientists Deliver Business Intelligence! https://www.elegantjbi.com/blog/2021/07/01/citizen-data-scientists-deliver-business-intelligence/ https://www.elegantjbi.com/blog/2021/07/01/citizen-data-scientists-deliver-business-intelligence/#comments Thu, 01 Jul 2021 14:07:42 +0000 https://www.elegantjbi.com/blog/?p=7429 Continued]]> augmented-analytics-bi-tools-support-citizen-data-scientistsWhy Should My Business Want Citizen Data Scientists?

These days, it seems that every conference I attend, there is a discussion about Citizen Data Scientists. For some of my colleagues, the discussion seems irrelevant or, in some cases, daunting. If you are hesitant to embrace this type of initiative in your business, here are a few Gartner predictions that might convince you to at least consider this crucial shift in business culture and data literacy.

 

 

 

 

  • Through 2025, 80% of organizations seeking to scale digital business will fail because they do not take a modern approach to data and analytics governance.
  • By 2021 (that’s THIS year, by the way), 50% of analytical queries will be generated via search, NLP or voice, or will be automatically generated.
  • By 2021, automation of data science tasks will enable Citizen Data Scientists to produce a higher volume of advanced analysis, than specialized data scientists
  • By 2025, a scarcity of data scientists will no longer hinder the adoption of data science and machine learning in organizations.
  • …and perhaps the most important prediction: By 2022, augmented analytics will be ubiquitous, but only 10% of users will use it to its full potential.

So, what does this all mean? It means that businesses that do not transform business users into Citizen Data Scientists will not have the leverage to improve time to market, improve competition, improve decision-making and collaboration and improve customer satisfaction and product placement in the market. It also means that, in order to leverage a Citizen Data Scientist approach, the business MUST embrace augmented analytics and modern business intelligence. Without the right tools, your business is likely to be among those mentioned in the last bulleted prediction above!

The fact is, you can’t make the required cultural shift and enable your business users to adopt data analytics if you don’t have a simple, intuitive augmented analytics solution that will provide insightful business intelligence and a platform to support the average team member with easy-to-use tools that don’t require a data science background.

WITH the right tools, a Citizen Data Scientist can collaborate, share data and make meaningful contributions to goals and objectives.

If you want your business users to promote, collaborate and adopt the use of data to support a Citizen Data Scientist initiative, enhance digital transformation and improve data literacy, it is important to provide a strong Advanced Analytics foundation with feature and functionality that are suitable for team members. Visit our Blog to find out more about the Citizen Data Scientist initiatives and support for these programs.

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Tally Mobile Apps: Analytics with Anytime Access and Results! https://www.elegantjbi.com/blog/2021/06/30/tally-mobile-apps-analytics-anytime-access-results/ https://www.elegantjbi.com/blog/2021/06/30/tally-mobile-apps-analytics-anytime-access-results/#comments Wed, 30 Jun 2021 17:20:13 +0000 https://www.elegantjbi.com/blog/?p=7426 Continued]]> tally-mobile-apps-analytics-with-anytime-access-and-resultsThe Tally ERP Solution is a popular accounting and financial application used by business professionals around the world to complete accounting and finance related tasks. Businesses that use Tally ERP have amassed a large volume of crucial data within the confines of the Tally app and that data is important to business users. When integrated with an analytics app, this Tally data can add value, insight and decision support. And, if that data and analytics is accessible through a mobile app, business users can perform tasks, analyze data and make crucial decisions while on the road, working remotely, etc.

With a Tally mobile app with integrated analytics, users can access data, analyze, drill down, drill through, create and share reports, establish and monitor key performance indicators (KPIs) – all without implementation cost, customization cost or months-long project initiatives. Users can get started within minutes and there is no lengthy training required. Business users who are familiar with Tally will find the analytical environment intuitive and will not have to learn a complex, new software solution in order to achieve results.

Businesses will benefit from improved collaboration and productivity. Today’s business users must function in the new world of remote working, and on-the-road, interactive projects and team initiatives. No matter the reason your team members are out of the office, integrated Tally KPIs and mobile app access and analytics will significantly decrease the time to make decisions and ensure that these decisions are based on measurable, fact-based information and data.

SmartenApps for Tally allows users to leverage the popular, familiar Tally app and provides access to analytics via Web and Mobile App options in a Software as a Service (SaaS), easy-to-use, cost effective environment. Explore SmartenApps for Tally and Register Now to get started!

Original Post : Tally Mobile Apps: Analytics with Anytime Access and Results!

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Self-Serve Advanced Analytics Offers a Collaborative, Empowered Environment to SMEs! https://www.elegantjbi.com/blog/2021/06/30/self-serve-advanced-analytics-offers-collaborative-empowered-environment-smes/ https://www.elegantjbi.com/blog/2021/06/30/self-serve-advanced-analytics-offers-collaborative-empowered-environment-smes/#comments Wed, 30 Jun 2021 12:31:54 +0000 https://www.elegantjbi.com/blog/?p=7416 Continued]]> self-serve-advanced-analytics-offers-a-collaborative-empowered-environment-to-smesThe use of business intelligence and business analytics is growing in every industry, business function and in companies of every size. 48% of small and medium sized business CIOs responding to a Gartner survey revealed that business intelligence (BI), data and analytics is one of the technology areas that will have the largest amount of new or additional spending.

Much has been made of the small and medium sized business move to roll out advanced analytics to the business user community, and the resulting improvement in decision-making and in productivity, there is another factor that comes into play.

With increased competition for the best resources and team members, the average SME business is hard-pressed to recruit, find and retain the best talent and to use that talent to advance their products and services in the market.

Data literacy is something most businesses want to encourage. Where the business can provide appropriate tools and solutions it can more dependably ensure success at the individual, team and business unit level. With the right tools, team members are less likely to be frustrated with processes and activities and more likely to feel that they are an asset to the organization and recognize that they understand what it takes to achieve results in the business environment.

When a small or medium sized business implements self-serve augmented analytics solutions, every employee can act as a Citizen Data Scientist and their knowledge and use of an advanced analytics solution will enhance the value and empowerment of business talent and engender employee satisfaction and data sharing. But beyond that, the team member will feel empowered and will be allowed to creatively use advanced analytics to solve problems and achieve goals.

By giving employees the right tools, the business can hold team members accountable, and encourage power users to engender data popularity and an investment in the collaborative environment, so every team member feels confident and understands their value to the organization.

When a business is considering a self-serve BI tools initiative and the implementation of advanced analytical tools, it should include employee empowerment and the optimization and actualization of employee potential and team member satisfaction in its assessment criteria.

There is no doubt that business analytics can help the organization to plan, forecast and predict more accurately, and that this type of solution can improve competitive positioning and customer acquisition and satisfaction. But, in a world where businesses find it increasingly difficult to attract and retain good talent, advanced analytics can help employees achieve their potential and create a more collaborative, rewarding environment for every team member.

Original Post : Self-Serve Advanced Analytics Offers a Collaborative, Empowered Environment to SMEs!

 

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Smarten Support Portal Updates – June – 2021! https://www.elegantjbi.com/blog/2021/06/25/smarten-support-portal-updates-2021 https://www.elegantjbi.com/blog/2021/06/25/smarten-support-portal-updates-2021#comments Fri, 25 Jun 2021 17:36:35 +0000 https://www.elegantjbi.com/blog/?p=7409 Continued]]> smarten-support-portal-updates-june-2021We invite you to explore our latest knowledgebase articles and to join the Smarten user community on Smarten Support Portal.

If you have not registered yet, Click Here to obtain your login credentials.

 

 

 

 

 

 

Knowledgebase Articles

  1. Smarten Application Security: Banner Grabbing vulnerabilities and solutions
  2. Smarten Application Security: HTTP Method Vulnerability and solutions
  3. UDDC Expressions : Making use of Case statements (IfCase, When-Then)
  4. UDDC Expressions : Making use of Date functions
  5. UDDC Expressions : Making use of Arithmetic functions
  6. UDDC Expressions : Making use of Cell references

Forum Topics

  1. Smarten Application Security: How do we prevent Banner Grabbing Vulnerabilities?
  2. Smarten Application Security: What is HTTP Method Vulnerability and what are their solutions?

Usecases

  1. SSDP: Deriving week start date and week end date of a given date
  2. How to derive the recently purchased city of each customer from daily customer transactions from various cities

If you don’t find what you need in the Support Portal, we hope you will contact us with your questions, comments or suggestions. We are here to help and to support your business goals and success!

URL: Smarten Customer and Partner Community
Email: support@Smarten.com

 

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Using Predictive Analytics to Understand Your Business Future! https://www.elegantjbi.com/blog/2021/06/24/predictive-analytics-understand-business-future/ https://www.elegantjbi.com/blog/2021/06/24/predictive-analytics-understand-business-future/#comments Thu, 24 Jun 2021 09:09:03 +0000 https://www.elegantjbi.com/blog/?p=7406 Continued]]> is-predictive-analytics-useful-in-a-chaotic-business-worldCan Predictive Analytics REALLY Help My Business During These Uncertain Times?

How accurate is predictive analytics? Is it worth using for my business? How can forecasting and prediction help me in such an uncertain environment? These are all valid questions and they are they are questions your business (and your fellow business owners) must grapple with to understand the value of planning and analytical tools.

While predictive analytics is based on historical data (and, of course, things have certainly changed over time), and you might argue that today is nothing like yesterday, there are many other benefits to the augmented analytics predictive analytics environment.

These tools allow the organization to apply predictive analytics to any use case using forecasting, regression, clustering and other methods to analyze an infinite number of use cases including customer churn, and planning for and target customers for acquisition, identify cross-sales opportunities, optimize pricing and promotional targets and analyze and predict customer preferences and buying behaviors.

All of this sounds good, doesn’t it? But, it still doesn’t address the issue of predicting the future in a changing environment. What good is historical data in today’s chaotic business environment?

Here is just one example of how assisted predictive modeling might help your business and your business users:

While the future is hard to see, your business CAN look for patterns and deviation to understand what HAS changed over the past 60 or 90 days or over the past year.

Users can hypothesize and test theories to see how things will change in market demand and customer response if trends continue, if the economy declines or if there is more disposable income. For a restaurant, that might mean that the recent trend toward takeout and curbside delivery might continue, even after the global pandemic has passed. People have just gotten used to the convenience of take-out meals and how easy it is to have them delivered or to order online.

For employers, the trend toward remote work might continue as businesses look at the cost of rent and utilities for an office or facility and weigh those expenses against the benefits of remote working. Remember, history does not have to be five years ago. It can be as recent as last month!

That’s where forecasting and planning come in. You can look at what is happening today and see how it has impacted your business and hypothesize about how things will change next month or next year.

If your business sees the value of forecasting, planning and predicting in an uncertain environment and wants to consider Predictive AnalyticsContact Us today to get started, and explore our bonus content here: Provide the Right Augmented Analytics Solution and Features for Business Users.’

Original Post : Is Predictive Analytics Useful In a Chaotic Business World?

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Why Do I Need to Analyze eCommerce Results? https://www.elegantjbi.com/blog/2021/06/17/analyze-ecommerce-results/ https://www.elegantjbi.com/blog/2021/06/17/analyze-ecommerce-results/#comments Thu, 17 Jun 2021 17:04:37 +0000 https://www.elegantjbi.com/blog/?p=7402 Continued]]> want-ecommerce-success-analyze-analyze-analyzeDo You Want Your eCommerce Growth to Explode?

Why does an eCommerce or online shopping business need analytics? After all, eCommerce is exploding. There is no limit to what a business can do! Some of what you just read is true. Some of it isn’t! If you are thinking you don’t need analytics because eCommerce is guaranteed to succeed, you need to recalibrate your strategy.

Yes, eCommerce is exploding. Yes, eCommerce can provide revenue and growth. BUT, this market is more competitive than ever and, without analytics, your business is walking in the dark. You put products online and you hope for the best and when customers do not buy, or a product is not popular, you wonder why. There are plenty of reporting tools and simple analytics available to help out but what the business really needs is a more comprehensive view of customers, products and sales. You need to understand sales trends and patterns and gain insight into what is selling, who is buying and why. You need to assess marketing campaigns, price points, customer value and customer cohorts and establish meaningful targets.

Your business needs to establish metrics and key performance indicators (KPI) that will give you clear results and tell you where you need to tweak your strategy and what is working.

BUT, you don’t want a tool that requires your business users to learn new, complicated software or to be data scientists with the skill to perform complex analytics. You need something that will easily integrate with your eCommerce solution and provide pre-built templates and reports to satisfy user needs.

If you are a Shopify user, you can Integrate Shopify With Augmented Analytics, and provide users and your business managers with the tools they need to compete and succeed, AND you can enjoy a free trial to evaluate the solution and determine the business benefits. Find out more about Shopify eCommerce analytics in our article, Are You Succeeding at eCommerce? If You Don’t Know, You NEED Integrated Analytics.’

Contact Us to today to find out how SmartenApps for Shopify can help you achieve your goals.

Original Post : Want eCommerce Success? Analyze, Analyze, Analyze!

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Tally ERP Analytics: Providing a Comprehensive Picture of Business! https://www.elegantjbi.com/blog/2021/06/09/tally-erp-analytics-providing-comprehensive-picture-business/ https://www.elegantjbi.com/blog/2021/06/09/tally-erp-analytics-providing-comprehensive-picture-business/#comments Wed, 09 Jun 2021 09:39:30 +0000 https://www.elegantjbi.com/blog/?p=7397 Continued]]> tally-erp-analytics-providing-a-comprehensive-picture-of-businessThe Tally ERP Solution is a popular accounting and financial application that is used by many business professionals. It acts as a repository for crucial business information and allows for data entry and reporting. But, today every team member is expected to contribute to business direction, problem solving and leveraging of opportunities and the accounting and financial world is no exception. In order to provide the type of clear, detailed business intelligence and reporting required by managers and senior executives, team members must have easy-to-use tools that will offer clear insight into Tally business intelligence and data.

Standard Tally reports provide some support for this type of analytical activity, but having an integrated analytics app that can pull together data and present it in a clear Tally dashboard will go a long way toward providing the kind of information business users need and offer quick, clear information. Tally KPIs offer users the ability to establish key performance indicators (KPIs) and achieve measurable results, determine which activities and investments and strategies are working and where changes should be made to achieve better results.

Consider the flexibility and comprehensive coverage of a full suite of pre-built templates accessible through a desktop web interface. These reports include and Overview of key business parameters including sales and purchasing to explore sales to date, monthly, quarterly and yearly, top customers and detailed sales registers, monthly trends with top and bottom analysis, contribution analysis and KPI analysis payables and receivables with a breakdown of creditors, debtors, products, services and components as well as trends, income and expense, cash and bank to explore trends and patterns over a period of time and compare results from previous periods, inventory shortages, overages, overstock, understock, suppliers, products, shipping and distribution, taxes for previous tax periods, future analysis, tax summaries and tax estimates, cost center balances and analysis of cost center groups and accounts and associated ledgers, ledger entries and balances with drill down to voucher level, drill down into ledgers and transactions, account statements for statutory submission, review of balance sheets, trial balances, profit and loss and various interactive reports to drill down, slice and dice by vendor, product, service, cost, sales person, location, customer, inventory, purchasing, costs and more.

This comprehensive dashboard environment provides the detail and the summary reporting and visualization your users need to work at every level – operational, strategic, tactical etc.

SmartenApps For Tally allows users to leverage the popular, familiar Tally app and provides access to analytics via Web and Mobile App options in a Software as a Service (SaaS), easy-to-use, cost effective environment. Explore SmartenApps For Tally and Register Now to get started!

Original Post : Tally ERP Analytics: Providing a Comprehensive Picture of Business!

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Clickless Analytics is the Future of Business User Analytics! https://www.elegantjbi.com/blog/2021/06/08/clickless-analytics-future-business-user-analytics/ https://www.elegantjbi.com/blog/2021/06/08/clickless-analytics-future-business-user-analytics/#comments Tue, 08 Jun 2021 12:42:09 +0000 https://www.elegantjbi.com/blog/?p=7393 Continued]]> nlp-search-ensures-your-users-want-to-adopt-analyticsWhat Does a Business Need to Do To Ensure That Users Adopt Analytics?

If your business is trying to incorporate data analytics into the fabric of day-to-day work, you will need to get your users to adopt analytical tools. The way forward is not all that complicated. The solution you choose must take an augmented analytics approach, one that includes simple search analytics, ala Google search. Natural Language Processing (NLP) and NLP Search tools are key to this approach as they allow business users to ask simple questions and get answers. If a user does not have to create complex queries or look to business analysts or data scientists or IT professionals, that user can incorporate data into information sharing, reporting, presentations and recommendations to management.

The Clickless Analytics environment means that users can create a query by asking a question, just as they would when communicating with one another. ‘Which sales person sold the most bakery items in Colorado in April of 2019?’ It’s just that simple. You don’t have to choose columns or search for the right information. Don’t expect your business users to embrace data democratization and champion data literacy if they can’t understand how to use the tools or what the analytics mean. Some solutions produce detailed results but they are in a format that is hard to understand or they provide mountains of detail without providing any insight into the data.

The key to Digital Transformation is to offer a) a solution that is easy to use and will integrate with other systems, software and databases to provide a full picture of data, b) a solution that is easy to use and will offer recommendations, suggestions, guidance and NLP search technology to satisfy the needs of the average business user, and c) a solution that allows users to learn about algorithms, predictive analytics and analytical techniques by providing the guidance and support to choose the right visualization techniques, and the right analytical technique to build user knowledge on a solid foundation, without frustrating the user.

As users, their managers and the business reap the benefits of these tools and techniques, the business user will become a champion of the data literacy and will happily embrace the new tools and roles. If it makes their job easier, and if it provides them with positive feedback in their role, they are bound to see the benefits.

If you want to make encourage your business users to adopt and leverage the Clickless Analytics approach to NLP search analytics, you must ensure that the Augmented Analytics solution you choose is suitable for the average business user AND will produce the clarity and results you need.  Contact Us to get started. Read our article, Want to Succeed with Citizen Data Scientists? Choose Simple Augmented Analytics

Original Post : NLP Search Ensures Your Users WANT to Adopt Analytics!

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Give Citizen Data Scientists the Tools They Need! https://www.elegantjbi.com/blog/2021/06/03/give-citizen-data-scientists-tools-need/ https://www.elegantjbi.com/blog/2021/06/03/give-citizen-data-scientists-tools-need/#comments Thu, 03 Jun 2021 13:12:11 +0000 https://www.elegantjbi.com/blog/?p=7389 Continued]]> the-right-foundation-will-ensure-citizen-data-scientist-successDon’t Be Intimidated! Citizen Data Scientists Don’t Need Rocket Science!

When you take on the mantle of Citizen Data Scientist, there is a lot to process! Much of the reason business users feel overwhelmed at the idea of the Citizen Data Scientist role is the anticipation of having to learn new tools and techniques to analyze data.

“I am not a data scientist”, “I don’t understand analytics”, “this new role is going to take up all my time”, “my manager doesn’t care about this stuff” – these are just a few of the arguments you will hear when you bring up the concept of Citizen Data Scientists, improved data literacy and data democratization. But, in the real world, the introduction of a Citizen Data Scientist initiative should not be intimidating or overwhelming.

There are many benefits to the Citizen Data Scientist evolution. Here are just a few:

  • The business will base its decisions on facts
  • It is easier to understand and address issues and opportunities
  • Business users can add more value to the business
  • Business users can add skills to their resume and advance their careers
  • Businesses can improve their competitive stance
  • Businesses will be more nimble and agile and ready to respond to the market

All of these benefits depend on the organization being prepared to change its culture and to support Citizen Data Scientists as they take on their new role. One of the most important aspects of this change requires establishing a foundation of augmented analytics solution and providing easy, intuitive methods to access and perform analytics without the need for data scientist or business analyst skills.

With the right self-serve augmented analytics, Citizen Data Scientists can leverage auto-recommendations, suggestions and guidance to choose the right algorithm or analytical technique and visualization techniques to receive clear results suitable for presentation and reporting.

Our Article, ‘Provide the Right Augmented Analytics Solution and Features for Business Users’ will provide more detail on these tools and how to select the right augmented analytics solution for your business users.

If your business is planning a Citizen Data Scientist initiative, you don’t have to do this alone! Contact Us to today or Click Here to explore training for Citizen Data Scientists, designed to help you begin your Citizen Data Scientist journey.

Original Post : The Right Foundation Will Ensure Citizen Data Scientist Success!

 

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Digital Transformation (Dx) Requires Augmented Analytics Technology to Support Business Users! https://www.elegantjbi.com/blog/2021/06/02/digital-transformation-dx-requires-augmented-analytics-technology-support-business-users/ https://www.elegantjbi.com/blog/2021/06/02/digital-transformation-dx-requires-augmented-analytics-technology-support-business-users/#comments Wed, 02 Jun 2021 11:23:56 +0000 https://www.elegantjbi.com/blog/?p=7385 Continued]]> digital-transformation-dx-requires-augmented-analytics-technology-to-support-business-usersIf your business has embraced the concept of Digital Transformation (Dx) and Data Literacy, it must plan for these initiatives in order to ensure that they are successful. The best way to achieve Dx and data literacy is to establish a technology environment that will support and encourage constant change and optimize resources and creativity – all in the service of supporting business goals and objectives.

A Dx and Data Literacy initiative will encompass a technology review, including an assessment and investment in tools to support team members in embracing a data-driven, fact-based process that leverages data and data literacy at every level of the organization.

Restrictive technology tools or tools designed for IT or data scientists will not advance the initiative.

If all team members and roles are to be included in the transition, the transformation must also move business users toward a Citizen Data Scientist role.

The renowned international technology research firm, Gartner, defines a Citizen Data Scientist as, ‘A person who creates or generates models that use advanced diagnostic analytics or predictive and prescriptive capabilities, but whose primary job function is outside the field of statistics and analytics.’

If the business user team is to transition to a Citizen Data Scientist role, the business must first make its systems, solutions and data more accessible and easier to understand. It must ensure performance and scalability for mobile access and create an environment where users want to adopt new tools and techniques to use in everyday tasks.

Team members must have the right easy-to-use self-serve augmented analytics tools – tools that provide guidance and auto-recommendations so users can quickly choose the right visualization techniques and the right predictive analytics without the need for data science skills. The enterprise must look for ways to break down the walls of data silos and integrate data to make it accessible with appropriate security and reporting for all manner of information sharing and collaboration.

As business users become Citizen Data Scientists and embrace the use of data to make decisions and find solutions, the business analyst and Data Scientist team will be free to work on more strategic issues. Augmented Analytics allows business users team to leverage easy-to-use tools that will build their confidence and understanding and act as training mechanisms to help them integrate data and data sharing into the daily culture.

Restrictive technology tools or tools that are only designed for IT or data scientists will not advance a Digital Transformation and Data Literacy initiative. To succeed, the business must include the assessment and investment in augmented analytics tools to support team members and encourage a data-driven, fact-based process that leverages data and data literacy at every level of the organization.

For more information about Digital Transformation and how Augmented Analytics can support the Dx initiative, explore our white papers: Integrate Augmented Analytics And Digital Transformation To Achieve Continuous Business Improvement’, and ‘Preparing Your Organization For Digital Transformation And Data Literacy’.

Original Post : Digital Transformation (Dx) Requires Augmented Analytics Technology to Support Business Users!

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Your Business Data Can Be Popular with Social BI! https://www.elegantjbi.com/blog/2021/06/01/business-data-popular-social-bi/ https://www.elegantjbi.com/blog/2021/06/01/business-data-popular-social-bi/#comments Tue, 01 Jun 2021 13:37:25 +0000 https://www.elegantjbi.com/blog/?p=7374 Continued]]> social-bi-enables-collaboration-sharing-and-data-popularitySocial Business Intelligence Creates a Business User Community!

Everyone over the age of five knows about social networks and social media. No matter which platform you prefer and how you choose to share your thoughts and ideas, you are no doubt engaged in the networking world. When it comes to business intelligence and analytics, there is no reason you can’t employ the same techniques to share, collaborate, create and innovate.

The world of social business intelligence is exploding and, with Social BI, your business users can enjoy data democratization, improve data literacy and make better decisions. Business users can access a BI tool and see popular data to rate, share and comment. This type of sharing can optimize resources by allowing users to access reports, dashboards and data that might be just what they need to complete a task or analysis.

With Social BI, organizations will see the emergence of power users who take a creative, insightful approach to data analysis. Just as social media users can ‘Like’ or ‘Share’ a provocative post from another user, a social business intelligence tool can support the same kind of sharing and learning within your organization. As power users, and data analysis, become ‘popular’, the enterprise will see improved user adoption of BI tools and begin to understand the types of data that users value, and how to provide, and present, data to improve data leverage, and increase confidence in decisions. Understanding the social aspect of data analysis, and data popularity allows the enterprise to make decisions about additional provisioning of data, reports and dashboards to business users.

If you want your business users to promote, collaborate and adopt the use of data, choose a Modern Business Intelligence Self-Serve BI Tool and solution that encourages Social BI with tools designed to enable easy sharing, rating and innovation. Visit our Blog to find out more about the Opportunities Provided By Social BI.  

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Machine Maintenance Using Smarten Assisted Predictive Modelling! https://www.elegantjbi.com/blog/2021/05/31/machine-maintenance-smarten-assisted-predictive-modelling/ https://www.elegantjbi.com/blog/2021/05/31/machine-maintenance-smarten-assisted-predictive-modelling/#comments Mon, 31 May 2021 09:02:00 +0000 https://www.elegantjbi.com/blog/?p=7326 Continued]]> machine-maintenance-using-smarten-assisted-predictive-modelling1. Machine Maintenance is always cheaper then downtime!

Sooner or later, all machines run to fail and monitoring the condition of the machine is crucial for any enterprise as any unplanned downtime can have greater economic impact resulting in reduced productivity and ultimately losing the customers. That being so, a regular way to keep the machine in a good condition is to timely monitor it and detect the patterns to predict the breakdowns. Predictive maintenance of machines helps in evaluating the timely collected machine data in order to gage its condition and predict when maintenance work is needed.

2.  Better the data, Profound is the insight!

Now that we have a broader understanding of the machine maintenance use case, the next apparent step is to comprehend the data needed for exploratory analysis. Our dataset will be parametric and there will be many parameters upon which our target to know whether the machine will fail will rely upon. By and large, considering IOT sensor data, wherein the machine contains many sensors which helps it to function properly, our dataset must contain the timely measurements from each sensor in order for us to track the patterns for machine failure. Also, the majority of machines have dependency upon its surrounding environment, so in many cases, recording timely temperature and humidity conditions and other affecting parameters can also play an essential role in determining machine breakdown. It goes without saying that our dataset must also have a date and time field intended to remark the failure patterns, previous date and time when the machine failed to perform and also sometimes to speculate the remaining life of the machine.

3.   Smarten Assisted Predictive Modelling: Take the guesswork out of planning!

Every organization must plan and forecast results. If the enterprise is to succeed, it must strive for accuracy and identify trends and patterns in the market and industry that will help it to predict future results, plan for growth and capitalize on opportunities. Smarten Insight provides predictive modelling capability and auto-recommendations and auto-suggestions to simplify use and allow business users to leverage predictive algorithms without the expertise and skill of a data scientist. Let’s get a taste of how Smarten Assisted Predictive Modelling can equip business users in providing insights upon machine maintenance tasks.

4.   If we have data, let’s look at it!

Any kind of analysis initiates by looking upon the data. Keeping a note that we already have a predefined dataset uploaded to Smarten, let’s get started slowly but surely into how to open a loaded dataset in Smarten and make analysis. 

  • Open a loaded dataset in Smarten:
  1. Go to Open -> Data in top right dropdown in Smarten
  2.  Search for the dataset to analyse
  3.  Examine the dataset

On opening the dataset, you will be able to view the attributes (columns) for the machine maintenance use case and also be able to draw some superficial insights by pondering upon the dataset. Your dataset will look as follows:

machine-maintenance-dataset-view

Machine Maintenance Dataset View

 

  • Perform Elementary Data Analysis from Dataset:

From the dataset, we can perceive that there are multiple factors (i.e., attributes or columns) which may have an effect on our target variable (i.e., failure). Machine failure is evidently splitted into two categories (i.e., yes and no) based upon whether it has undergone breakdown at the date and time when the corresponding observations were made. Also, on catching a sight on the dataset, we can figure out that here we are dealing with a very generic dataset where we have many sensors impacting our machine failure. These sensors can be temperature sensors, humidity sensors, pressure sensors, proximity sensors, level sensors, accelerometers, infrared sensors, optical sensors, gyroscope sensors and so on depending upon the machine of interest. Here we are not limiting our study for any specific machine but aim at exploring the use case in general with Smarten Assisted Predictive Modelling. 

Now it’s time to gear up with some amazing data analytics using Smarten!

5.   The goal is to turn Data into Information and Information into Insight!

Smarten provides us with a feature of Smarten Assisted Predictive Modelling which reduces the time and skills required to produce accurate, clear results, quickly using machine learning. With Smarten Insights, the user will simply have to select the dataset to be analysed and the broad category of the algorithm to be applied. That’s it! The system will interpret the dataset, select important columns of data, analyse its type and variety and other parameters and then use intelligent machine learning to automatically apply the best algorithm in the selected algorithm technique in order to provide data insights.

Let’s gradually familiarize ourselves with Smarten Insights!

5.1 Create a fresh New Smarten Insight:

Go to New -> SmartenInsight Menu in the dropdown provided in the top right corner of the Smarten Dashboard.
creating-a-new-smarten-insight

Creating a new Smarten Insight

 

5.2 What do you want to do? Choose Algorithm Technique Accordingly:

The following window opens on selecting Smarten Insight:

choosing-suitable-algorithmic-technique-from-smarten-insight

Choosing suitable Algorithmic Technique from Smarten Insight

 

Smarten has a provision wherein users can select the algorithm technique best sufficing their use case and provide quality results for the chosen technique. In order to select the best category of algorithm, users need to have some basic data literacy.

We need to choose the best algorithm technique from the following list:

  • Forecasting
  • Classification
  • Clustering
  • Correlation
  • Regression
  • Hypothesis Testing
  • Frequent Pattern Mining
  • Descriptive Statistics

Let’s put our thinking caps on and try to recognize the best suit algorithm technique for our Machine Maintenance dataset!

The high-level goal is pretty clear that we are keen to predict whether the given machine will breakdown provided other parameters. So, we are basically interested in splitting (or categorizing) our outcome based upon whether the machine will fail(yes) or not (no). This suggests that our problem can be prototyped as a classification task because our outcome domain is finite (i.e., outcome has only two values, failure and non-failure).

Acknowledging this study, we can carry forward with our process of getting insights using Smarten by selecting the Classification model from the list of other algorithmic techniques. Smarten also has a provision to provide description against each algorithm technique along with a basic example to enhance data literacy and assist us in algorithm selection.

5.3 Select the data for Performing Classification upon:

  • Search for the dataset (In our case it’s named Machine Maintenance Dataset) from the search bar.
  • Select the radio button against the dataset of interest.
  • Click on the next button at the bottom to advance the procedure.

perform-search-operation-for-dataset-of-interest

Perform Search Operation for Dataset of Interest

 

5.4 Smarten identifies target (outcome variable) and predictors (dependent variables) for us:

smarten-cleverly-identifies-the-targets-and-predictors-from-chosen-dataset

Smarten cleverly identifies the targets and predictors from chosen dataset

 

5.5 Select the target and predictors based upon your choice:

After Smarten identifies the target and predictor attributes, users still have the flexibility to make alterations.

auto-suggested-attributes-by-smarten-insight

Auto Suggested attributes by Smarten Insight

 

5.5.1      Target selection:

We would want failure to be our target variable to fulfil our motive of figuring out whether or not the machine will fail provided the other parameters. Hence, we can select that from the dropdown indicating ‘Select the target variable containing predefined classes or groups. For this scenario, smarten has cleverly identified failure to be a target feature for us and we retain this selection.

making-target-selection-for-classification

Making Target selection for classification

 

5.5.2 Identify recommended predictors for selected Target:

Smarten has a feature wherein it selects the significant predictors for the chosen target using machine learning techniques. The predictors highlighted in yellow are those which showcase significant impact upon our target variable (i.e., Failure).

significant-predictors-auto-selected-by-smarten

Significant Predictors auto selected by Smarten

 

5.5.3     Perform changes in Predictors (Optional):

Now that Smarten has equipped us well with the significant predictors, we still have a choice to add or remove the predictor selections based upon our interest. 

smarten-provides-users-flexibility-for-predictor-selection

Smarten provides users flexibility for predictor selection

 

The left side table corresponds to the available predictor list and the right side indicates the selected attributes which shall be provided for processing the machine learning model. The icon beside each attribute in the available attribute column leads them to the selected attribute columns which are to be processed by our classification model. Similarly, users have flexibility in removing them from the selected attribute column by the – icon. In case of selecting all the available attributes for processing, icon at the top serves the purpose. icon serves the purpose of deselecting all the selected attributes. Apart from this, Smarten also has a provision wherein the users can directly search for any available attribute by name from the search bar. This essentially helps when there is a huge number of available attributes and users want only a handful of them to be quickly pre-processed!

From the default selection, we get to acknowledge that Sensor2 has significant impact upon machine failure, but suppose we want to designate the machine breakdown based upon Sensor4 (say proximity sensor), then we can make predictor selection accordingly. Currently taking into account the default selection, let’s jump further for our analysis.

5.6  Run model on full or sample data option:

Sometimes, perhaps in most cases, we have to deal with huge data. Our machine learning model may take a longer period to run and provide us with the required outcome. In such a scenario Smarten provides us with an option of using sampled data wherein it smartly makes a sample of data resembling the full data which may give us the same result set as we would have obtained in the full data. 

But for the current scenario, we can use the full data to feed to the model by selecting the full data mode radio button.

full-data-mode-and-sample-data-mode-option-in-smarten-insight

Full data mode and Sample data mode option in Smarten Insight

 

5.7 Want to run classification on entire dataset option:

Often users are keen at making analysis upon some filtered data. Say for instance, what if we were to examine machine breakdowns only in the month of March, then we can make such a filter upon our data, keeping all the other predictors as they are. For such a filtration, Smarten provides us with an option to run classification on the entire dataset or filtered dataset.

filtering-data-to-be-processed-for-classification-technique

Filtering Data to be processed for Classification Technique

 

If we have no such filtering condition in mind, we can carry further with yes option. After performing the above effortless process, finally click on the next button which will let Smarten designate the best fit classification algorithm using machine learning tactics for our dataset.

smarten-recommends-the-best-fit-classification-algorithm

Smarten recommends the best fit classification algorithm

 

6.   So that was the recipe, Now let’s taste it!

On clicking the next button, Smarten leads us to the results and interpretations for our dataset without investing much of our efforts! And Smarten opts Classification tree algorithm as the best suited algorithm for our data selection with an accuracy as high as 99.84%. In a broader sense, Classification is the root algorithm technique but there are numerous algorithms which come under classification category. Smarten automatically works upon a list of widely used classification algorithms and designates the best choice model for our dataset.

smarten-opts-classification-tree-as-the-best-suite-algorithm-for-provided-dataset

Smarten opts Classification tree as the best suite algorithm for provided dataset

 

7.   The purpose of Visualization is to obtain Insight!

Graphical representation of our data will help us look upon the trends and patterns in the data in an easy to understandable manner. In order to accomplish this, Smarten provides its users with smart visualizations to draw insights.

tree-plot-visualization-by-smarten-assisted-predictive-modelling

Tree plot visualization by Smarten Assisted Predictive Modelling

 

Classification tree plot visualization makes it easy to comprehend the parameters essential for obtaining a particular outcome. From the current visualization we can make out that temperature being the root node of the tree has utmost importance in impacting machine failure, followed by a bunch of further conditions as we traverse downwards. The depth of the tree indicates the number of conditions to be captured by the predictor variables in order to come to a conclusion. Deeper we allow the tree to grow, the more complex our model is. Smarten has a provision to allow its users to set the tree depth by fine tuning the depth parameter. On turning off the auto mode in the Fine-tune parameters option, we have flexibility in setting the max depth of the tree plot. Also, by default the tree doesn’t travel till its complete depth but only till the best optimal path depth. So, the users can explore the tree splits by clicking on the icon provided at each internal node.

fine-tuning-of-classification-tree

Fine Tuning of Classification Tree

 

Apart from the tree plot, Smarten also provides us with average measures by target classes histogram for us to analyse how average measures are distributed across target variable classes. For the ongoing use case we perceive that in order to avoid machine failure, the average hours since the machine’s previous breakdown must be higher. Making us interpret that if the machine has not undergone failure in the immediate past, then it tends to survive longer. Note that this is not a generalized assumption we could make but is solely drawn from the data we provided!

average-measures-by-target-classes-bar-plot-by-smarten-assisted-predictive-modelling

Average measures by Target classes bar plot by Smarten Assisted Predictive Modelling

 

Smarten Assisted Predictive not only provides its users with easy to grasp visualizations but also provides us with a handy straightforward interpretation in layman language for better understanding upon the outcome so that its users can make business decisions effectively.

8.   Having ample data, we starve for earnest insights!

Out of many features provided, Smarten Insight provides 4 key sections which will assist us in better interpretation of our data. Them being:

  1. Interpretation
  2. Model Summary
  3. Single Apply / Mass Apply
  4. Simulation

A. Interpretation:

The interpretation section provides the users an in-depth insight from the dataset in easy-to-understand language. It provides us with the entire profile of predicted classes based upon the selected predictors. Furthermore, it also provides us the effect of each and every attribute on the target (i.e., failure) both qualitatively (using tabular representations) and quantitatively (with average measure values). Having a look upon the interpretation section would help us acknowledge the key predictors as well as impact of underlying classes if any on the target and the average measure values for our targeted outcome. For our case study, we can conclude that temperature is the best factor influencing machine failure with it having a higher average value to be in a breakdown state.

classification-tree-algorithm-interpretation-for-machine-maintenance-dataset

Classification Tree Algorithm Interpretation for Machine Maintenance dataset

 

B. Model Summary :

The model summary section contains a more technical summary of the data. This is specially put to Smarten insight to provoke data Literacy. For instance, for carrying out classification of the model, data scientists make conclusions by making interpretations from the obtained confusion matrix, accuracy score and the error rate. Smarten provides us even this feature to validate the technical aspect with the generalized interpretations.

model-summary-for-classification-tree-algorithm-by-smarten-assisted-predictive-modelling

Model Summary for Classification Tree algorithm by Smarten Assisted Predictive Modelling

 

C. Apply the model:

Using the apply feature, the users can select/enter static values corresponding to every predictor variable and Apply the inputs in order to validate our interpretation and assist us in predicting the outcome (here whether the machine will fail) based upon any chosen feature set. 

apply-the-model-option

Apply the model option

 

As the outcome of the apply feature, users can get to know the residing category (in this case machine failure yes or no) when the entered values are taken into consideration. Apart from this, we also come to the accuracy percentage (here 99.84%) with which we can assure our result. Also, we can sense that our interpretation quite resembles the outcome of the apply feature.

predicted-result-by-applying-the-model

Predicted Result by applying the model

 

D. Simulation:

Simulation modelling feature serves at analysing the model prototype to predict its performance in real world scenarios. It helps the users understand under what conditions the outcome will withstand a particular outcome and make predictions in real time. 

Say for instance, the user wants to make the settings of all the predictors in real time and make predictions, then the simulation feature can be used. We will find the icon for simulation on the top right corner of the screen. We could opt to scroll the feature values and predict whether the selected bunch of settings leads the machine towards failure condition or not with ease.

simulation-feature-to-predict-outcome-in-real-time

Simulation feature to predict outcome in real time

 

As it’s evident from the screen that there is a default setting made for each predictor unlike the Apply feature, and also the outcome when those default parameters are selected. One can change the parameters from the simulation and obtain the resulting category accordingly along with the most influencing combination leading to that particular category selection.

9.   Every Choice we make has an end result!

Apart from the best fit algorithm automatically opted for by Smarten, the user also has a privilege to play around with other listed algorithms and review results produced by them for further analysis. Users can test the accuracy and other metrics of varied algorithms and make a comparative review upon all as well as make better explorations.

To make analysis and draw conclusions upon algorithms apart from the Classification Tree, just select the algorithm of interest on the left side menu list as follows (say for instance Binary Logistic Regression selection):

Note: Smarten makes sure that its users are well aware that the default selection is the best choice if the users want to save time on that grounds. But if a user wants to explore other algorithms, they can select the yes option and proceed.

explore-the-machine-maintenance-outcomes-based-upon-binary-logistic-regression-algorithm

Explore the machine maintenance outcomes based upon Binary Logistic Regression Algorithm

 

On selection, we will be driven to all the results, visualizations and interpretation of the use case as illustrated by the Binary Logistic Regression Algorithm.

outcome-from-binary-logistic-regression

Outcome from Binary Logistic Regression

 

It’s evident from the first glance that Binary Logistic Regression is not the best choice for our data owing to its lowered accuracy score compared to previously chosen Classification Tree algorithm by Smarten Assisted Predicted Modelling.

One can perform identical operations like lookup the interpretation, model summary etc. in all the algorithms and take the beneficial insights. After all every algorithm can provide us with inquisitive insights!

Also, it’s not always a scenario wherein any algorithm can be applicable to any dataset. There are some regulations for every machine learning algorithm which the data must satisfy in order to perform analysis with. Smarten has provided apt pop-ups if our data is not suited for the algorithm selection.

10.  Ready, Set, Go!

Now that we have a made a step-by-step approach in understanding the flow of making analysis for the Machine Maintenance use-case using Smarten Assisted Predictive Modelling with a generic sample data, we are all set to make similar process in tackling any other dataset with provided predictors and targets as per business requirements and create corresponding model to analyse the outcomes as well as apply this model to provided machine data to understand whether the machine will fail based upon the sensor recordings and affecting environmental factors!

Note: This article is based on Smarten Version 5.1.1. This may or may not be relevant to the Smarten version you may

Original Post : Machine Maintenance Using Smarten Assisted Predictive Modelling!

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eCommerce Analytics is Mandatory to Business Success! https://www.elegantjbi.com/blog/2021/05/27/ecommerce-analytics-mandatory-business-success/ https://www.elegantjbi.com/blog/2021/05/27/ecommerce-analytics-mandatory-business-success/#comments Thu, 27 May 2021 13:25:10 +0000 https://www.elegantjbi.com/blog/?p=7370 Continued]]> dont-guess-at-ecommerce-results-you-need-a-strategyAre You Succeeding at eCommerce? If You Don’t Know, You NEED Integrated Analytics!

When eCommerce and online shopping businesses reflect on their results, it can sometimes be difficult to decide on a strategy going forward. You may be able to produce reports and have a good grasp of ‘what sells’ but if you are to compete in this incredibly competitive market, you need metrics. You need to make fact-based decisions.

For those businesses using Shopify (one of the most popular eCommerce solutions), there is an option to integrate analytics – and those analytics are simple enough for an average business user to perform and to understand and use for decision, presentation and reporting. Out-of-the-box reports and dashboards allow users to dive deep into data, drill down and through data and interact with data without frustration.

eCommerce dashboards and reports help the organization to manage business health and identify opportunities to expand and grow the business with sales reports, sales trends and sales contribution, advanced key performance indicators (KPIs), a clear picture of Customer Lifetime value (LTV), Customer Cohorts, Customer Loyalty and Product Cross Sell. Businesses can see what is selling, where there are challenges or opportunities, what products might be bundled to create more value and result in more sales conversion, whether pricing policies are working and more.

Businesses can track KPIs by customer, by order, by average customer order, customer value and even customers who process the most returns. Users can review, monitor and manage data by brand, product and product variable and can review cumulative sales, performance by country, and customer, cart abandonment and other details.

If you are struggling to understand your data and you want to make the best, most accurate decisions for your business,  and provide clear, simple tools for your business users, you can Integrate Shopify With Augmented Analytics, and provide users and your business managers with the tools they need to compete and succeed, AND you can enjoy a free trial to evaluate the solution and determine the business benefits.

Contact Us to today to find out how SmartenApps for Shopify can help you achieve your goals.

Original Post : Don’t Guess at eCommerce Results. You Need a Strategy!

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Want to Know Your Business Future? Get Auto Insights! https://www.elegantjbi.com/blog/2021/05/25/business-future-auto-insights/ https://www.elegantjbi.com/blog/2021/05/25/business-future-auto-insights/#comments Tue, 25 May 2021 09:19:30 +0000 https://www.elegantjbi.com/blog/?p=7367 Continued]]> gain-insight-about-key-influencers-own-your-business-futureRead the Tea Leaves For Business Results with Key Influencers and Auto Insights!

Even if your business results are on target, even if you feel you have a good handle on how to run the business and what your customers want, there is always room for improvement, and the issues that arise can often come out of nowhere. Even the best business managers cannot anticipate and see how every detail of the business might come together to create a challenge OR an opportunity.

What if you could see the trends and identify the anomalies? What if you could reveal the secret patterns and issues bubbling beneath the surface? What if you could map your targets with improved success? AND what if your business users could leverage tools to help you achieve these goals without needing a background in data science! Tools like Auto Insights and Key Influencer Analysis can help!

Innovative, interactive tools designed in an augmented analytics environment allow a business user to gather information, establish metrics and key performance indicators (KPIs), identify crucial volatility and anomalies, and receive auto-suggestions and information to clearly identify the root cause of problems and target opportunities. With these tools business users can quickly establish KPIs and target metrics and identify the Key Influencers and variables for the target KPI. Once the KPI is created, the business user can stay on top of results and identify issues immediately with alerts and reports, delivered by email or portal, at a defined frequency. Results are delivered with visual/graphic illustrations, a clear explanation and links to dive deep into the data for further analysis.

If you want to leverage Auto Insights and Key Influencer Analytics with simple tools to understand and manage the variables that impact targets and results, you can start today.

 

Original Post : Gain Insight About Key Influencers. Own Your Business Future!

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Ease of Use for Augmented Analytics is Key! https://www.elegantjbi.com/blog/2021/05/20/ease-augmented-analytics-key/ https://www.elegantjbi.com/blog/2021/05/20/ease-augmented-analytics-key/#comments Wed, 19 May 2021 21:17:28 +0000 https://www.elegantjbi.com/blog/?p=7334 Continued]]> citizen-data-scientists-thrive-with-augmented-analyticsWant to Succeed with Citizen Data Scientists? Choose Simple Augmented Analytics!

Gartner has placed an increased focus on augmented analytics and solutions that support data democratization and business user transformation to the Citizen Data Scientist role. It predicts that those organizations that engage in Citizen Data Scientist initiatives will outperform businesses that do not take this approach and they will be more competitive and better prepared, by increasing productivity, optimizing resources and making better decisions. As your business competitors embrace this evolution, your organization must seriously commit to the Citizen Data Scientist concept and to the Augmented Analytics solution approach that will support the Citizen Data Scientist.

The Citizen Data Scientist approach is crucial to sustained competitive advantage and to nurturing human resource assets, improving productivity and making the right decisions at the right time. Businesses and users can get ahead of the curve in the market and enable true collaboration.

Augmented analytics allows your business users to quickly find answers and solve problems and to identify opportunities. You can untangle quality and maintenance issues, refine customer targeting and marketing optimization, make appropriate financial investment decisions, and even use external data to analyze trends and patterns and make forecasts and predications. If the business intends to innovate and create an agile environment in which it can move quickly and remain competitive, it must move with precision and focus to create an environment in which Citizen Data Scientists can thrive and provide tools that will be easy for them to adopt and to use for collaboration.

If your business is planning to implement a Citizen Data Scientist initiative, it is important to select an Augmented Analytics software suite that will encourage data literacy and support digital transformation and your business users as they transition into Citizen Data Scientists.  Contact Us today to get started, and explore our bonus content here: Before You Deploy a Citizen Data Scientist Initiative, Understand What That Means.’

Original Post : Citizen Data Scientists Thrive with Augmented Analytics!

 

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Smarten Support Portal Updates – May – 2021! https://www.elegantjbi.com/blog/2021/05/19/smarten-support-portal-updates-2021/ https://www.elegantjbi.com/blog/2021/05/19/smarten-support-portal-updates-2021/#comments Wed, 19 May 2021 12:51:53 +0000 https://www.elegantjbi.com/blog/?p=7319 Continued]]> smarten-support-portal-updates-may-2021We invite you to explore our latest knowledgebase articles and to join the Smarten user community on Smarten Support Portal.

If you have not registered yet, Click Here to obtain your login credentials.

 

 

 

 

 

 

Knowledgebase Articles

  1. Smarten Application Security: CSRF vulnerabilities and solutions
  2. Smarten Application Security: Clickjacking vulnerabilities and solutions
  3. Assisted Predictive Modelling Use cases

Forum Topics

  1. Smarten Application Security: How do we prevent CSRF vulnerabilities in Smarten?
  2. Smarten Application Security: What is Clickjacking vulnerability and how to prevent it in Smarten?

Usecases

  1. SSDP: Derive monthly closing balance of various items from yearly opening balance and their monthly transactions data

If you don’t find what you need in the Support Portal, we hope you will contact us with your questions, comments or suggestions. We are here to help and to support your business goals and success!

URL: Smarten Customer and Partner Community
Email: support@Smarten.com

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Citizen Data Scientists Need to Understand Their Role! https://www.elegantjbi.com/blog/2021/05/13/citizen-data-scientists-understand-role/ https://www.elegantjbi.com/blog/2021/05/13/citizen-data-scientists-understand-role/#comments Thu, 13 May 2021 15:24:31 +0000 https://www.elegantjbi.com/blog/?p=7315 Continued]]> business-users-must-understand the-citizen-data-scientist-roleBefore You Deploy a Citizen Data Scientist Initiative, Understand What That Means!

When a business takes on the task of transforming business users to Citizen Data Scientists, they might have very clear goals mind but they may not have a firm grasp on what the role means or how to provide the business user with an understanding of what the role will be (what it will not be) and how it will change their day-to-day work.

Let’s take a look at the role, who will take on the role and how it will work.

Citizen Data Scientists are not business analysts or data scientists – they are business users and team members within the organization. The typical profile of an ideal Citizen Data Scientist is a person who is respected within the organization, and often shares data and information with other users to collaborate and produce outcomes that are designed to achieve goals and objectives and produce a successful outcome. These individuals may already be ‘power users’ of business applications and may have developed and reported or presented data to others with an eye toward clarifying their decision-making. Citizen Data Scientist candidates may also be IT team members who are interested in data science.

One of the most important tasks a Citizen Data Scientist will take on is to use augmented analytics; that is analytics that provide simple recommendations and suggestions to help users easily choose visualization and predictive analytics techniques from within the analytical tool without the need for expert analytical skills. When a Citizen Data Scientist uses these tools, the resulting analysis can be combined with the professional knowledge and specific domain skills of the individual to better understand and gain insight into trends, patterns, issues and opportunities and improve time to market, accuracy of predictions, and metrics and measurements. Adopting these tools and techniques and actively engaging in augmented analytics allows the Citizen Data Scientist to more effectively interact with and collaborate with the IT team and data scientists to prepare data and use data in use cases, and to refine outcomes and improve data-driven decision making across the enterprise. Our Article, ‘Provide the Right Augmented Analytics Solution and Features for Business Users’ will provide more detail on these tools and how to select the right augmented analytics solution for your business users.

The ideal candidate for a Citizen Data Scientist role is someone who may need external data to do their job and make good decisions, and may already be using tools like Excel at a ‘power user’ level. The organization should nominate business users who are respected members of the business community and curious by nature. Team members who are willing to act as champions for improving the effectiveness and efficiency of workflow and processes, and those who enjoy collaboration and liaison roles are ideal candidates.

If your business is planning a Citizen Data Scientist initiative, you don’t have to do this alone! Contact Us to today or Click Here to explore training for Citizen Data Scientists, designed to help you begin your Citizen Data Scientist journey.

Original Post : Business Users Must Understand the Citizen Data Scientist Role!

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What COVID-19 Has Taught Us About the Importance of Digital Transformation in Business! https://www.elegantjbi.com/blog/2021/05/12/covid-19-taught-importance-digital-transformation-business/ https://www.elegantjbi.com/blog/2021/05/12/covid-19-taught-importance-digital-transformation-business/#comments Tue, 11 May 2021 19:11:55 +0000 https://www.elegantjbi.com/blog/?p=7311 Continued]]> what-covid-19-has-taught-us-about-the-importance-of-digital-transformation-in-businessThe Corona Virus (COVID-19) has taught us many hard lessons, not the least of which is the importance of being prepared, the importance of anticipating what may be just around the corner, and the importance of being able to theorize, hypothesize and predict. All of these skills are amply supplied by data scientists and analysts. But, in today’s world, it is crucial to prepare and educate the average business team member to improve data literacy and engage in digital transformation (Dx). As the idea of data popularity becomes more mainstream, and team members and industries embrace data sharing and fact-based decision making, our understanding of looming issues, collaborative possibilities and possible solutions to address these issues will improve and so will our response time and efficacy.

There is nothing like a global crisis to incite panic but, when you are facing large, multi-faceted issues, it is important to work in an environment that is prepared to provide the data and the views you need to address the issues you face.

In businesses and government agencies where Digital Transformation (Dx) is ongoing, the business has a much better foundation for understanding financial and geo-political issues, security problems, weather-related emergencies and delays and the effects of these problems on stakeholders and supply chain.

Data, analytics and an agile Dx workflow and environment weighs heavily on success in these instances.

As long as we are using COVID-19 as an example of a complex issue that requires rapid response, the ability to plan in an uncertain future and the need to work with facts to ensure appropriate action, let’s dive into this issue in a bit more detail. As we work through this example, consider your most crucial business issues, the changing market in which you compete and your need for timely, accurate data. You will find the comparisons to be thought provoking!

A recent survey revealed that:

  • Nearly 50% of businesses are using data analytics more now than they did before the pandemic. They use the data to plan and address issues of revenue decline, resources issues etc.
  • Small businesses (those with 200 or fewer employees) are using analytics and data even more than large enterprises. This is not really surprising, since small businesses have less fat to cut and are at more risk of losing customers and team members during this crisis.
  • Over 60% are using analytics in operations, 50% are using it for sales, over 40% are using it in product support and over 55% are using it in financial support.
  • Over 50% of all companies are using data to improve efficiency and address resources and workflow issues.
  • Over 60% of all companies are increasing or maintaining their data analysis budget. That might surprise you, but it shouldn’t. There is nothing more motivating than a global crisis and, in the case of ongoing business management, there is nothing more motivating than dramatic changes in the market or in customer response to products and services.

Investing in Digital Transformation, technology infrastructure, systems, software and user data literacy ensures that the business is working with up-to-date, accessible systems and tools that are easy for team members to embrace so every team member is empowered and accountable for data-driven decisions and recommendations. When a crisis hits, e.g., cyber-attack, significant market shift or competitive initiative, OR loss of customers or revenue to an economic downturn or a global pandemic, a business must have the tools, processes and technology in place to respond with agility and speed. During such a crisis, there is no time to implement changes that will take months or years to execute.

So, what have we learned from COVID-19?

A lot.

But, perhaps the most critical lesson for businesses trying to survive or emerge from this pandemic is that digital transformation and improved data literacy are initiatives for NOW. If your business wants to be prepared to address the lingering after effects and permanent market changes that will result from this pandemic, the time to implement digital transformation (Dx) and data literacy initiatives is NOW!

If your business is trying to survive and thrive during these significant market and business shifts, it must build a cohesive, stable foundation to help the business succeed and thrive in uncertain times. For more information about Digital Transformation explore our white papers: ‘Understanding Digital Transformation: What it Is, What it is Not’‘Preparing Your Business for Digital Transformation and Data Literacy.’

Original Post : What COVID-19 Has Taught Us About the Importance of Digital Transformation in Business!

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Augmented Analytics Solution: Pass or Fail? https://www.elegantjbi.com/blog/2021/05/04/augmented-analytics-solution-pass-fail/ https://www.elegantjbi.com/blog/2021/05/04/augmented-analytics-solution-pass-fail/#comments Tue, 04 May 2021 16:39:50 +0000 https://www.elegantjbi.com/blog/?p=7303 Continued]]> augmented-analytics-must-be-suitable-for-your-business-usersChoose an Augmented Analytics Solution Your Business Users Will WANT to Adopt!

Your senior management team has decided to engender digital transformation and improve data literacy across the enterprise. As a primary step in this process, the team wants to implement an augmented analytics solution that will encourage business users to get involved in data analytics, to use data to make fact-based decisions and to present, report and collaborate using real, current and clear information that will support collaboration and improve results.

All of this sounds great but, if you don’t choose an augmented analytics solution to support your needs and the needs of your users, you are not likely to achieve the results you want and need. The advantages of advanced analytics are numerous but a failure to launch, a failure to achieve user adoption will not help anyone!

The augmented analytics solution you select should include:

  • Smart Data Visualization with auto-recommendations to select the right visualization for the data type, volume, etc.
  • Assisted Predictive Modeling with suggestions to ensure the user selects the right analytical technique
  • Self-Serve Data Preparation with easy-to-use tools that will allow users to gather and prepare data for analysis
  • Clickless Analytics with simple Google-type search techniques Simple Business User Data Analytics
  • Auto Insights interprets datasets, selects columns of data, and uses machine learning to apply the right analytical technique
  • Key Influencers allows business users to establish KPIs, target metrics and identify key influencers and variables for the target KPI
  • Comprehensive Reporting with simple programming/scripting to define templates and produce reports for delivery by email
  • Modern Business Intelligence with personalized dashboards, KPIs, deep dive analytics, social business intelligence, what-if analysis etc.

If you want to make encourage your business users to adopt and leverage analytics, you will need to ensure that the Augmented Analytics solution you choose is suitable for the average business user AND will produce the clarity and results you need.  Contact Us to get started.

Original Post : Augmented Analytics MUST be Suitable For Your Business Users!

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Business Users Can and Will Adopt Self-Serve BI Tools! https://www.elegantjbi.com/blog/2021/05/03/business-users-adopt-self-serve-bi-tools/ https://www.elegantjbi.com/blog/2021/05/03/business-users-adopt-self-serve-bi-tools/#comments Mon, 03 May 2021 15:59:35 +0000 https://www.elegantjbi.com/blog/?p=7297 Continued]]> users-will-want-to-use-the-right-self-serve-bi-toolsChoose the Right Self-Serve BI Tools and Ensure User Adoption!

When your business users are asked to take on yet another responsibility, they are likely to balk. Most companies are short-handed and expect more of their team members than ever before. There are a lot of good reasons to initiate data democratization and engage in digital transformation to modernize and improve the enterprise and to improve results. If the business can encourage data sharing and collaboration, it can also improve the shared knowledge of the team and create accountability and empowerment. In so doing, the business can leverage the knowledge and skill of each team member and ensure that every business user is working to their full potential with the all the information they need to solve problems and to capitalize on opportunities.

BUT, if your business intends to take this route, know this: team members WILL balk if you ask them to take on more responsibility or if you expect them to learn new, complex software solutions that take up their time and provide no discernable value to them in their role. That’s where self-serve business intelligence comes in! Self-serve BI tools are designed FOR business users to ensure that they will:

  • Benefit from the use of the tools
  • Perceive the value of the BI tools in helping to make decisions
  • Streamline their processes and help them get the job done quickly and efficiently
  • Help them share with other users to make decisions and manage processes
  • Advance their knowledge and make them more valuable in their role
  • Give them measurable results and information to make recommendations

When selecting a self-serve business intelligence solution, be sure to choose a reputable, dependable solution that provides tools specifically designed for business users with average technical and analytical skills. Features and navigation should be clear and intuitive and the foundation of analytics should be sophisticated enough to provide detail and allow for a deep dive, while still giving the user an easy path to gather and analyze data and to present it in a manner that makes sense to them and to their audience for reporting and for presentation.

Choose a Modern Business Intelligence Self-Serve BI Tool and solution to ensure that your users will adopt and leverage these tools to make fact-based decisions, to gather, analyze, present and share results.

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Smarten Launches Clickless Analytics Natural Language Processing (NLP) Search Analytics for Business Users! https://www.elegantjbi.com/blog/2021/05/03/smarten-launches-clickless-analytics-natural-language-processing-nlp-search-analytics-business-users/ https://www.elegantjbi.com/blog/2021/05/03/smarten-launches-clickless-analytics-natural-language-processing-nlp-search-analytics-business-users/#comments Mon, 03 May 2021 12:59:46 +0000 https://www.elegantjbi.com/blog/?p=7293 Continued]]> smarten-launches-clickless-analytics-natural-language-processing-nlp-search-analytics-for-business-usersSmarten announces its Smarten Clickless Analytics, a Natural Language Processing (NLP) Search Analytics tool designed for every business user, no matter their technical expertise or data skills. Natural Language Processing Search Analytics (NLP) is an easy-to-use search analytics technique that allows business users to create complex searches without endless clicks and complex navigation and commands. Using this familiar Google-type Clickless Analytics, users can leverage these tools to discover trends and patterns, receiving results in simple, clear language the user can understand.

Smarten CEO, Kartik Patel says, “This natural evolution of Smarten Augmented Analytics combines the sophisticated, in-depth of advanced analytics and the ease-of-use and assured user adoption of simple, Google-type searching so business users can ask a simple question like . ‘Who sold the most fruit juice in Phoenix, Arizona in the winter of 2019?’ and get an answer in natural language, just as they might communicate when asking a question in a meeting.’

There is no need for extensive training or skills. The business can democratize the use of data and encourage data literacy. Business users do not need to create complex searches or be frustrated by endless clicks and complex navigation and commands. Clickless Analytics search solution provides tools to search for answers with insight and context including synonyms, phonetics and abbreviation, people and places, time series analytics, the high, the low, the best and the worst, as well as seasonality, including festivals and holidays – and the system understands the dates and date ranges of the season.

“This innovation in search analytics allows users to quickly and easily get to the information they need and to gain insight to make decisions,” says Patel. “Business users have a job to do and, if they are to meet expectations and become the asset they can be for the business, they need a search mechanism that ‘thinks and acts’ like human communication. With Clickless Analytics, business users can just ask a question and get an answer in natural human language.”

Smarten Clickless Analytics  is a crucial part of the Smarten augmented analytics suite that now complements the suite of Smart Data VisualizationAssisted Predictive Modeling, and Self-Serve Data Preparation with machine learning and many other sophisticated features.

Original Post : Smarten Launches Clickless Analytics Natural Language Processing (NLP) Search Analytics for Business Users!

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Data Warehouse, Data Lake, Data Mart, Data Hub: A Definition of Terms! https://www.elegantjbi.com/blog/2021/04/28/data-warehouse-data-lake-data-mart-data-hub-definition-terms/ https://www.elegantjbi.com/blog/2021/04/28/data-warehouse-data-lake-data-mart-data-hub-definition-terms/#comments Wed, 28 Apr 2021 16:54:55 +0000 https://www.elegantjbi.com/blog/?p=7286 Continued]]> data-warehouse-data-lake-mata-mart-data-hub-a-definition-of-termsIn today’s business environment, most organizations are overwhelmed with data and looking for a way to tame the data overload and make it more manageable to help team members gather and analyze data and make the most of the information contained within the walls of the enterprise. When a business enters the domain of data management, it can often get lost in a morass of terms and concepts and find it nearly impossible to sort through the confusion. Without a clear understanding of the various categories and iterations of data management options, the business may make the wrong choice or become so mired in the review process that it will give up its quest.

This article is the first of two on the topic of Data Management. Here, we will define the various terms so that a business can more easily understand the types of data management solutions and tools. In the second of these two articles entitled, ‘Factors and Considerations Involved in Choosing a Data Management Solution’, we discuss the various factors and considerations that a business should include when it is ready to choose a data management solution.

Data Warehouse

Data Warehouse (AKA Datawarehouse, DWH, Enterprise Data Warehouse or EDW) solution is designed to centralize and consolidate large bodies of data from disparate, multiple sources and is meant to help users execute queries, perform analytics, provide reporting, and obtain business intelligence. Data Warehouse data is typically comprised of data from applications, log files and historical transactions and integrates and stores data from relational databases and other data sources originating in various business units and operational entities within the enterprise, e.g., sales, marketing, HR, finance.

A Data Warehouse is a structured environment that is comprised of one or more databases and organized in tiers. An interactive, front-end tier provides search results for reporting, analytics and data mining. The search engine accesses and analyzes the data for presentation and the foundational architecture or database server provides the storage and loading repository.

In order to prepare data for analysis, a Data Warehouse environment will typically utilize an Extraction, Transformation and Loading (ETL) process to prepare data for analysis. Team members who access a Data Warehouse may use SQL queries, analytical solutions or BI tools to mine the data, report, visualize, analyze and present the data.

Data Mart

We can think of a Data Mart as a subset of a Data Warehouse but, whereas a Data Warehouse is an enterprise-wide solution that comprises data from across the organization, the Data Mart is a structured environment that is used to store and present data for a specific team or business unit. This approach allows a business team or unit to curate, leverage and manipulate data that is specific to their teams. For example, a business might create a Data Mart to serve its Marketing, Sales and Advertising teams or it might expand that use to include Customer Service and Product teams so that it can more easily analyze and collaborate using data pulled from specific sources within these business units.

While Data Warehouses access and analyze large volumes of records, a Data Mart improves the response time and performance for end-users by refining the data to provide only data that will support the collective needs of a specified group of users.

Think of a Data Mart as a ‘subject’ or ‘concept’ oriented data repository. A Data Mart often provides a subset of data from a larger Data Warehouse and is designed for ease of consumption, to produce actionable insight and analysis for a particular group.

Data Lake

A Data Lake is a less structured and more flexible approach to data management with data streaming in from various sources and a more free-wheeling approach to data access, exploration and sampling. A Data Lake stores data with no organization or hierarchy. All data types are stored in raw form or semi-transformed format and data is only organized for presentation and use as queries or requests are generated.

A Data Lake can store structured (relational databases, rows columns), semi-structured (XML, ISON, Logs, CSV) and unstructured or binary (Word documents, PDF formats, images, email, audio or vide0) data, and acts as repository of various data sources and users can use that data for various types of analytics from visualization to dashboard presentation, machine learning and data processing.

Data Hub

A Data Hub solution is typically a more flexible, personalized approach to data management with various integration technologies and solutions overlaid to provide the structure or output needed by the business. The data flows from various sources – not all of which will be operational. A Data Hub can provide data in various formats and perform actions to refine data for quality, security, duplicate removal, aged data, etc.

The Data Hub is meant to collect and connect data to produce insight for collaboration and data sharing. It will act as an integration and data processing hub to connect data sources and make them more readily accessible and usable for team members. The definition of a Data Hub will vary by business use and by organization as the parameters and organization of the hub environment will flex to the needs of the organization. So, factors like available models, data governance and access, data persistence and analytical formats and reporting options will vary.

As you consider the various solutions and options for data management, be sure to develop and use a comprehensive and detailed set of requirements and elicit feedback from those who will use and manage the solution.

Now that you understand the various Data Management options, you are ready to select an option for your business. The second of our two-article series, entitled, ‘Factors and Considerations Involved in Choosing a Data Management Solution’ will provide some simple suggestions and recommendations to help you choose the right option.

Original Post : Data Warehouse, Data Lake, Data Mart, Data Hub: A Definition of Terms!

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Natural Language Processing Supports Business User Analytics! https://www.elegantjbi.com/blog/2021/04/26/natural-language-processing-supports-business-user-analytics/ https://www.elegantjbi.com/blog/2021/04/26/natural-language-processing-supports-business-user-analytics/#comments Mon, 26 Apr 2021 11:30:26 +0000 https://www.elegantjbi.com/blog/?p=7280 Continued]]> your-team-will-love-advanced-analytics-with-nlp-search-analyticsEncourage User Adoption of Advanced Analytics with NLP Search Analytics!

You have selected an advanced analytics solution and deployed it across your enterprise, but your business users are not cooperating! One of the primary reasons for poor user adoption of this type of tool is that the tools are too restrictive and too difficult to use. Perhaps IT created the dashboards and they do not meet the needs of your business user, perhaps the business user needs help to engage with the system. Your users may have tried their best to use the system but the results they receive when they search are not accurate or do not meet their requirements. An advanced analytics system that is not intuitive, is complex or requires programming skills just to perform a simple search is not going to work for your business.

You can’t possibly anticipate every search your business users will need to perform on any given day or what the needs of every user in every role will be. But, if you provide a search analytics solution that is based on natural language programming (NLP), you take the guesswork and complexity out of searching and allow your users to enter a simple, Google-like search and receive results in natural language (that they can understand).

With natural language-processing-based search capability, users do not need to scroll through menus and navigation. They can enter a search query like, ‘who sold the most polo shirts in IL in May of 2017’, and the system will translate the query, and return the results in natural language in an appropriate form, such as visualization, tables, numbers or descriptions.

Using machine learning and natural language processing (NLP), in a self-serve environment, this type of search analytics allows every business user to access and analyze the information they need and will encourage user adoption, improved data democratization, and return on investment (ROI).

If you want to make encourage your business users to adopt and leverage analytics, if you want to change your business culture to nurture data literacy and digital transformation, your best bet is to consider an augmented analytics product that makes it as easy as possible to search for information and get results using Natural Language Processing (NLP). Simple NLP search analytics encourages users to move in the right direction and use the tools you provide. Contact Us to get started, and explore our bonus content here: Explain NLP, Search Analytics and Clickless Analytics.

Original Post : Your Team Will Love Advanced Analytics with NLP Search Analytics!

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You Can Have Advanced Analytics AND Augmented! https://www.elegantjbi.com/blog/2021/04/22/advanced-analytics-augmented/ https://www.elegantjbi.com/blog/2021/04/22/advanced-analytics-augmented/#comments Thu, 22 Apr 2021 17:11:56 +0000 https://www.elegantjbi.com/blog/?p=7270 Continued]]> augmented-analytics-takes-analytics-to-the-next-levelShopping for Advanced Analytics? Get Self-Serve Augmented Analytics and Succeed!

There are a lot of business intelligence and analytical tools on the market today and if your business has recognized the need to implement this type of solution for self-serve analytics among business users, it is important to understand the advantages of augmented analytics. Advanced analytics benefits are numerous but, when a business chooses augmented analytics tools, it can ensure that its business users have full access to analytical features and sophisticated techniques without having to learn complex systems and without having to acquire data scientist skills. That ease-of-use takes advanced analytics advantages to the next level by democratizing use and allowing for digital transformation and increased data literacy across the enterprise.

The self-serve environment includes Smart Data Visualization, Self-Serve Data Preparation and Assisted Predictive Modeling and these modules offer auto-recommendations and guidance to lead the user through choosing the right visualization for the type of data they are analyzing and to allow users to choose the right predictive analytics technique to accommodate the data as well as the purpose of the analysis. Business users with average skills can use natural language processing (NLP) to ask a question and get a simple answer, providing insight into data integrated from data warehouses and disparate data sources across the business landscape. Users can test theories and hypothesize without risk and share data across teams.

If your business intends to deploy an advanced analytics tool, it is important to consider ease-of-use and the potential for user adoption as well as the flexibility of the solution to accommodate the various levels of security and user access you will require. To achieve the results your business envisions and to transform your business users into Citizen Data Scientists, the business must choose a solution that anticipates how users will want to leverage the solution and allows users to gather and see data in a way that is meaningful to their role and to use features that invite innovation rather than restricting users to static dashboards, reports and data access.

If you are ready to enjoy Advanced Analytics Benefits, you can start today!

Original Post : Augmented Analytics Takes Analytics to the Next Level!

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Smarten Support Portal Updates – April – 2021! https://www.elegantjbi.com/blog/2021/04/20/smarten-support-portal-updates-april-2021/ https://www.elegantjbi.com/blog/2021/04/20/smarten-support-portal-updates-april-2021/#comments Tue, 20 Apr 2021 11:21:18 +0000 https://www.elegantjbi.com/blog/?p=7260 Continued]]> smarten-support-portal-updates-april-2021We invite you to explore our latest knowledgebase articles and to join the Smarten user community on Smarten Support Portal.

If you have not registered yet, Click Here to obtain your login credentials.

 

 

 

 

 

 

Knowledgebase Articles

  1. Smarten Application Security: Password patterns and configurations in Smarten
  2. Smarten Application Security: Brute force vulnerabilities and solutions
  3. Others: Configuring SSL Certificate for Smarten

Forum Topics

  1. Smarten Application Security: How can the users have strict passwords policy in Smarten?
  2. Smarten Application Security: What is Login brute force vulnerability and how do we prevent it in Smarten?

Usecases

  1. SSDP: Apply rounding logic to Time data – e.g. 1:39 PM should be 2 PM and 1:20 PM should be 1 PM.
  2. SSDP: Handling multiple JOINs through Step by Step Procedure to create a dataset

If you don’t find what you need in the Support Portal, we hope you will contact us with your questions, comments or suggestions. We are here to help and to support your business goals and success!

URL: Smarten Customer and Partner Community
Email: support@Smarten.com

Original Post : Smarten Support Portal Updates – April – 2021!

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Will Your Analytics Solution Support Your Business Users? https://www.elegantjbi.com/blog/2021/04/12/analytics-solution-support-business-users/ https://www.elegantjbi.com/blog/2021/04/12/analytics-solution-support-business-users/#comments Mon, 12 Apr 2021 11:38:09 +0000 https://www.elegantjbi.com/blog/?p=7254 Continued]]> citizen-data-scientists-need-the-right-augmented-analyticsProvide The Right Augmented Analytics Solution And Features For Business Users!

Business competition is intense and markets are changing rapidly. What worked yesterday, does not work today and it is crucial for businesses to have an in-depth understanding of what is changing, how customer buying behavior is evolving, what new products and pricing plans are appropriate, where to invest for the future, what additional resources the business will need and when – in short, every detail of your business can positively or negatively impact your business and you need to understand current performance and future needs.

But, this need does not begin and end with senior management. Today, every business user and team member must have access to integrated data in an environment that provides simple, intuitive analytical tools – tools that do NOT require the assistance of IT or a data scientist. If you give your users the right advanced analytics tools, you can increase their contribution and their confidence, create a fact-based environment with empowered, accountable team members who are a real asset to their team and to the organization.

Gartner has predicted that the continued evolution of busines users into Citizen Data Scientists will continue and the pace of this change will increase. You need to prepare for this change with appropriate augmented analytics tools. Here is a brief overview of the features and modules the ideal augmented analytics products should have and the functionality your business users will need in order to function as Citizen Data Scientists:

Self-Serve Data Preparation – Augmented data preparation features allow business users with average skills to perform data preparation and transform, shape, reduce, combine, explore, clean, sample and aggregate data, without the need for SQL skills, ETL or other programming language.

Assisted Predictive Modeling – Predictive Analytics for business users provides predictive modeling capability assisted by auto-recommendations and auto-suggestions to simplify use and allow business users to leverage predictive algorithms without the expertise and skill of a data scientist.

Smart Data Visualization – Smart data visualization allows business users to view and analyze data to identify a problem and clarify a root cause and to make confident decisions. Business users can build a view that will tell a story using guided visualization and recommended data presentation.

Key Influencer Analytics – Key Influencer Analytics puts the power and clarity of targeted analytics in the hands of business users to support Citizen Data Scientist initiatives. Simply, point to the dataset you want to analyze and the system will identify the target variable and influencers

Clickless Analytics – Advanced analytics with Natural Language Processing (NLP) provides a familiar Google-type interface where a user can compose and enter a question using common human language and return the results in natural language in an appropriate form, such as visualization, tables, numbers or descriptions.

Auto Insights –  This toolset allows business users to simply select the dataset to be analyzed and let the system interpret the dataset, select important columns of data, analyze its type and variety and other parameters and use intelligent machine learning.

Anomaly Monitoring and Alerts – Reveal trends, anomalies, and answers, map your targets, focus on influencers that matter, adapt and prescribe for improvement.

Simple, Intuitive Reporting – The ability to create non-columnar, custom reports and templates and design and configure documents for preprinted fixed formats, and deep dive analytics.

Your business changes every day and, if you want to get the most out of analytics and the Citizen Data Scientist environment, you need to provide tools that offer guidance, auto-recommendations and search analytics with natural language programming (NLP) so your business users will want to adopt and use these tools and your business will benefit from data-driven, fact-based decision making and continuous improvement.

If your business is planning to implement a Citizen Data Scientist initiative, it is important to establish a solid foundation with the right Augmented Analytics software suite of features and functionality.  Contact Us today to get started, and explore our bonus content here: Give Your Business Users Simple Augmented Analytics.

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You Can Use Analytics to Perfect Your eCommerce Results! https://www.elegantjbi.com/blog/2021/04/07/analytics-perfect-ecommerce-results/ https://www.elegantjbi.com/blog/2021/04/07/analytics-perfect-ecommerce-results/#comments Wed, 07 Apr 2021 08:44:20 +0000 https://www.elegantjbi.com/blog/?p=7249 Continued]]> shopify-ecommerce-with-analytics-is-the-perfect-combinationImagine an eCommerce World Where You Can Really SEE Results to Make Decisions!

When an eCommerce or online business undertakes a review of product or service offerings, pricing, marketing campaigns and channels, sales results and planning for the future, it is often hard to gather all the data and details and see the way forward clearly.

If you are using Shopify as an eCommerce solution, you have plenty of features to use to promote your products or services and to keep your content evergreen. You can manage your search engine optimization and payments and many other aspects of your work but a deep dive into analytics may be outside the scope of your activities and skill.

There are opportunities for your team to achieve clear results and to use those results to make decisions about the future of the business, the products, and the specific activities and tasks for which they are responsible. And your team members do not have to be data scientists or business analysts and they don’t have to have sophisticated technical skills.

The beauty of this approach is that business users who have adopted and understand the Shopify solution do not have to learn a complex new advanced analytical solution, nor do they need to have data science skills. There is a solution that allows for integration of augmented analytics into the eCommerce arena with pre-built reports to reveal sales performance to track your orders, the average order value for a customer, gross, net and total sales and more.

You can see sales trends with key performance indicators (KPIs), weekly and cumulative sales and data by country, brand, and customer. Business users can use customer dashboards to see data by customer, orders averages and customer value and leverage information on customer lifetime value, how long your customer stays on the site and the value of the customer for  particular period of time. A product dashboard allows for visualization of data about products, brands and product variables. And, pre-built BI Reports allow for drill down analytics and viewing and export to CSV to understand sales by country, SKU or source, new vs. returning customers by country and more.

If you are looking for a way to really understand your data and use that insight to make the best, most accurate decisions for your business,  you can easily implement analytical capability using a solution that Integrates Shopify With Augmented Analytics, and provide your users and business a meaningful way to compete and succeed, and you can evaluate the solution in a free trial to determine the business benefits.

Contact Us to today to find out how SmartenApps for Shopify can help you achieve your goals.

Original Post : Shopify eCommerce with Analytics is the Perfect Combination!

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Innovation Fatigue Can Kill Your Business! https://www.elegantjbi.com/blog/2021/04/07/innovation-fatigue-kill-business/ https://www.elegantjbi.com/blog/2021/04/07/innovation-fatigue-kill-business/#comments Wed, 07 Apr 2021 08:29:58 +0000 https://www.elegantjbi.com/blog/?p=7246 Continued]]> innovation-fatigue-can-kill-your-businessIf a business wants to remain relevant, change and innovation are crucial. This is especially true in technology companies. Yet, ‘innovation fatigue’ is common in many businesses and companies often become complacent in their success and falsely cling to the belief that they have conquered the market and that their victory is undeniable and permanent.

When a business management team decides that they have had enough of investing in research, and trying to engender the constant churn of creativity, when a business decides to rest on its laurels, the match usually goes to the completion and, more often than not, that competitor is a young, hungry upstart, rife with excitement and ideas!

And, so it goes!

The market shifts, customer allegiance wanes and businesses like Nokia and Kodak find themselves in an untenable position. The field is littered with businesses that once dominated their market and went on to go bankrupt, to be acquired. In some cases, a company is successful in recognizing the slide, and fighting their way back to success but the road can be long and along the way, the business will lose customers, and be forced to rebuild their brand, and their reputation.

Consider the evolution of 8 track tapes to CD’s, VCRs to DVD players, land lines to car phones to smart phones – there are so many examples of evolution and innovation that one only has to look back over the last decade to see how rapidly things have changed, and how many big successful companies have lost momentum by failing to embrace change!

There is a reason that the Total Quality Management (TQM) concept includes a continuous improvement process. If an executive team fails to recognize the constant shift and change of their world, their market, and their customer buying behavior, that executive team will steer the company off a cliff!

I have spent my career in the technology business and I have watched as the pace of change gains speed. It is exciting and somewhat daunting to see how new ideas and approaches challenge our assumptions and force us to rethink products, services, business models and competitive efforts.

We started with JavaBeans development components, then PDF library, then Charting library, then Reporting to BI and now we have transformed to Augmented Analytics.

Though investment was never easy for us being a small company, we would have been no one today in the analytics market, if we had not done this transformation.

Not recent, but certainly a famous event.

During a Press Conference to announce the Microsoft acquisition of Nokia, the Nokia CEO, Stephen Elop said, “we didn’t do anything wrong, but somehow we lost”. One can interpret his statement as a defense of his management decision to ‘stay the course’ and, whether the word ‘wrong’ is appropriate to use in this instance or not, the truth is that a decision to stay the course, especially in a technology business, is a decision that will negatively impact the company and its competitive position.

As I said at the beginning of this article, change and innovation are crucial to business success. There are many factors involved in ‘innovation fatigue’ and in the decision to ignore the need for change.

Here are just a few:

  • Complacency and a belief that the business ‘owns the market’
  • Ignorance of the competitive environment
  • Limited customer relationship and awareness of customer buying behaviors and expectations
  • Unwillingness to accommodate trends and patterns driving future growth and technology
  • Limited research budget and/or resources
  • Inability to attract young, research oriented talent and foster innovation in the team
  • Bureaucratic culture and approval policies that discourage and restrict innovation

Whatever the situation, whatever the business, whatever the market, one thing always hold true: Change is constant and in today’s world, it is more rapid than ever. A wise business strategy will always incorporate and recognize change in its success equation!

Original Post : Innovation Fatigue Can Kill Your Business!

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Citizen Data Scientists CAN Get Help! https://www.elegantjbi.com/blog/2021/04/02/citizen-data-scientists-help/ https://www.elegantjbi.com/blog/2021/04/02/citizen-data-scientists-help/#comments Fri, 02 Apr 2021 08:26:59 +0000 https://www.elegantjbi.com/blog/?p=7238 Continued]]> attention-new-citizen-data-scientists-there-is-helpIf You Are a Newly Minted Citizen Data Scientist, You Don’t Have to Do it Alone!

As a newly minted Citizen Data Scientist, you may feel overwhelmed and uncertain how to proceed. As with any other transition and new responsibility, the first order of business is to understand what is expected of you and what the boundaries and obligations of your new responsibilities will dictate. It is also important to learn how to use any new tools that may be important to your new role.

Unfortunately, many businesses embrace the concept of self-serve analytics and data democratization without a full understanding of what it takes to transition a business user with average technical skills (and virtually NO analytical training) into a Citizen Data Scientist! But, not to worry. If your business is one of these and is struggling to implement this concept, there is a way to succeed.

Remember, you don’t need to be a data scientist, a business analyst or an IT professional to participate in and be a champion for analytics. Here’s what you DO need:

  • An understanding of your new role and how to collaborate with others
  • Clear direction on when and how to engage a data scientist or business analyst when data must be refined or results must be 100% accurate
  • Access to a robust augmented analytics solution that has sophisticated features, yet is easy to use
  • A basic understanding of analytical techniques you will use
  • A willingness to be a champion of the Citizen Data Scientist concept, and of increased data literacy

Of course, we understand that, as a business user, you do not necessarily have control over how the business introduces and supports the Citizen Data Scientist concept but we encourage you to share this article and others that define, describe and recommend the best approach to this type of program. Here, we have listed several articles you may find helpful as you create a learning foundation for the Citizen Data Scientist experience:

The bottom line is that, if you have already been identified as a Citizen Data Scientist, you don’t have to do this alone! Contact Us to today or Click Here to explore training for Citizen Data Scientists, designed to help you begin your Citizen Data Scientist journey.

Original Post : Attention New Citizen Data Scientists: There is Help!

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Analyze, Report, Publish and Share with BI Reporting! https://www.elegantjbi.com/blog/2021/04/01/analyze-report-publish-share-bi-reporting/ https://www.elegantjbi.com/blog/2021/04/01/analyze-report-publish-share-bi-reporting/#comments Thu, 01 Apr 2021 08:07:28 +0000 https://www.elegantjbi.com/blog/?p=7229 Continued]]> modern-bi-reporting-self-serve-easy-and-elegantGet Easy-to-Use, Elegant BI Reporting Designed for Business Users!

So you are dreaming of a business intelligence solution that will bring together all the data in your enterprise and make it easily accessible for analysis and now it’s time to look at BI tools and solutions. For starters, you’ll want self-serve business intelligence. You don’t want to have to deal with restrictive dashboards and environments designed by your IT team. Your IT team certainly means well, but they can’t possibly imagine all the ways you’ll want to use the system, so you want something that is flexible enough for YOU to use the way YOU need to use it today – a solution that will accommodate what you will need tomorrow too!

And, while we are dreaming, we definitely want the ability to engage in our own BI Reporting. We don’t want to have to wait for IT, a business analyst or a data scientist to pull together that information and produce a report. We need it NOW!

When you are shopping around for that perfect self service business intelligence solution, be sure to consider the features and functionality that are included in their out-of-the-box reporting capability.  Here’s what you’ll want:

  • Access that is 100% browser based and ensures a seamless user experience across desktops, tablets and mobile devices.
  • NO requirement for programming or SQL query knowledge
  • Interactive dashboards that allow users to dive deep in to data and find and report on that data
  • Easy for every user (no matter their technical skills) and practical to implement
  • Point and click, drag and drop functionality that allows users to instantly create a report
  • Personalized reports and automated delivery and publication via email
  • BI objects, dashboards, report, cross-tab and graphs published and delivered to keep users abreast of issues, problems and opportunities

Traditional business intelligence solutions used to be static and restrictive. Modern BI is a different story! You don’t have to sacrifice cost or productivity. You can have it all with business intelligence reporting software that is cost-effective, easy to implement and easy to use.

Choose a modern business intelligence solution that allows every user to create elegant BI Reports with cross-tab analysis and self-serve reporting tools that make it easy to gather, analyze, present and share results.

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What is Random Forest Regression and How Can it Help Your Business? https://www.elegantjbi.com/blog/random-forest-regression-business/ https://www.elegantjbi.com/blog/random-forest-regression-business/#comments Thu, 25 Mar 2021 11:02:17 +0000 https://www.elegantjbi.com/blog/?p=7178 Continued]]>

This article describes the analytical technique of random forest regression.

What is Random Forest Regression?

Random Forest Regression creates a set of Decision Trees from a randomly selected subset of the training set, and aggregates by averaging values from different decision trees to decide the final target value.

Random Forest Regression is limited to predicting numeric output so the dependent variable has to be numeric in nature. The minimum sample size is 20 cases per independent variable.

To further clarify the use of the Random Forest Regression model, let’s look at a sample analysis to optimize house pricing, based on numerous variables:

naive bayes classification example

How Can Random Forest Regression Help Your Business?

Explore the use cases below, to better understand the value of Random Forest Regression.

Business Use Case – House Price

Business Problem

A real-estate brokerage company wants to measure the impact of locality, the number of rooms, the area(sq. yards) etc. on a house price. The goal of this statistical analysis is to help us understand the relationship between house features and how these variables are used to predict house price.

Target: House Price

Predictors: Area with carpet, Rainfall, city, parking, distance from hospital, distance from shopping, etc.

Business Benefit

  • The business can determine which predictors have a significant impact on house price.
  • Pricing strategies and recommendations will be more accurate and result in quicker sales.
  • If the number of rooms or the distance from shopping or schools are significant factors, these factors are given more focus when searching for a house that fits a client budget and affects profit.

Business Use Case – Agriculture

Business Problem: An agriculture business wants to measure the impact of weather, market price, quality of crop, land used etc. on the crop price.

Input Data: Predictor/Independent Variables

  • Weather
  • Demand
  • Crop health

Dependent Variable: Crop Price

Business Benefit

  • Business can clarify which factors have a significant impact on crop price.
  • Pricing strategies can be refined to improve accuracy and meet targeted crop pricing and revenue.
  • If crop health and climate are significant factors, these factors would receive more focus when deciding crop price.

Business User Case – Compensation Policies

Business Problem : A business wishes to measure the salary of employee based on position, experience, degree, level, productive hours etc.

Input Data: Predictor/Independent Variables

  • Position
  • Years of experience
  • Productive hours

Dependent Variable: Salary of Employee

Business Benefit

  • The business can clarify which predictors have a significant impact on employee salary.
  • Salary policies and strategies can more accurately reflect employee value and targeted salaries.
  • If productive hours and experience are significant factors, these factors would be given more focus when developing salary policies.

About Smarten

The Smarten approach to augmented analytics and modern business intelligence focuses on the business user and provides tools for Advanced Data Discovery so users can perform early prototyping and test hypotheses without the skills of a data scientist. Smarten Augmented Analytics tools include assisted predictive modelingsmart data visualizationself-serve data preparation, Clickless Analytics with natural language processing (NLP) for search analyticsAuto Insights, Key Influencer Analytics, and SnapShot monitoring and alerts. These tools are designed for business users with average skills and require no specialized knowledge of statistical analysis or support from IT or data scientists. Businesses can advance Citizen Data Scientist initiatives with in-person and online workshops and self-paced eLearning courses designed to introduce users and businesses to the concept, illustrate the benefits and provide introductory training on analytical concepts and the Citizen Data Scientist role.

The Smarten approach to data discovery is designed as an augmented analytics solution to serve business users. Smarten is a representative vendor in multiple Gartner reports including the Gartner Modern BI and Analytics Platform report and the Gartner Magic Quadrant for Business Intelligence and Analytics Platforms Report.

Original Post: What is Random Forest Regression and How Can it Help Your Business?

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What is Gradient Boosting Regression and How is it Used for Enterprise Analysis? https://www.elegantjbi.com/blog/gradient-boosting-regression-enterprise-analysis/ https://www.elegantjbi.com/blog/gradient-boosting-regression-enterprise-analysis/#comments Thu, 25 Mar 2021 10:54:45 +0000 https://www.elegantjbi.com/blog/?p=7180 Continued]]>

This article describes the analytical technique of gradient boosting regression.

What is Gradient Boosting Regression?

Gradient Boosting Regression is an analytical technique that is designed to explore the relationship between two or more variables (X, and Y). Its analytical output identifies important factors ( Xi ) impacting the dependent variable (y) and the nature of the relationship between each of these factors and the dependent variable.

Gradient Boosting Regression is limited to predicting numeric output so the dependent variable has to be numeric in nature. The minimum sample size is 20 cases per independent variable.

To understand Gradient Boosting Regression, let’s look at a sample analysis to determine the quality of a diamond:

example-gradient-boosting-regression

How Can Gradient Boosting Regression Be Helpful for Your Enterprise?

If we consider the use cases below, we can see the value of Gradient Boosting Regression.

Business Use Case – eCommerce

Business Problem: An eCommerce business wishes to measure the impact on product sales by product price, product promotions during  a festival or season.

Input Data

Predictor/Independent Variable(s)

  • Product price
  • Product promotions and discounts
  • Dates fall within or outside Season/Festival

Dependent Variable: Product Sales Data

Business Benefit

  • Sales Managers can analyze which of the Predictors included in the analysis will have significant impact on product sales
  • Targeted sales strategies will include consideration of appropriate predictors to ensure accuracy
  • If promotions and seasons/festivals are significant factors, with a positive coefficient, these factors can be included in a marketing strategy to improve sales

Business Use Case – Agriculture

Business Problem: An agriculture production business wishes to predict the impact of the amount of rainfall, humidity, temperature etc. on the yield of a particular crop.

Input Data: Predictor/Independent Variables

  • Amount of rainfall during monsoon months
  • Humidity levels/measurements
  • Temperature measurements

Dependent Variable: Crop production

Business Benefit

  • The business can understand the impact of each predictor on the target variable
  • If temperature and rainfall have a positive significant impact but humidity has a negative significant impact on crop yield it can adjust crop production to accommodate high temperature and rainfall levels and low humidity levels to produce the desired crop yield.

About Smarten

The Smarten approach to augmented analytics and modern business intelligence focuses on the business user and provides tools for Advanced Data Discovery so users can perform early prototyping and test hypotheses without the skills of a data scientist. Smarten Augmented Analytics tools include assisted predictive modelingsmart data visualizationself-serve data preparation, Clickless Analytics with natural language processing (NLP) for search analyticsAuto Insights, Key Influencer Analytics, and SnapShot monitoring and alerts. These tools are designed for business users with average skills and require no specialized knowledge of statistical analysis or support from IT or data scientists. Businesses can advance Citizen Data Scientist initiatives with in-person and online workshops and self-paced eLearning courses designed to introduce users and businesses to the concept, illustrate the benefits and provide introductory training on analytical concepts and the Citizen Data Scientist role.

The Smarten approach to data discovery is designed as an augmented analytics solution to serve business users. Smarten is a representative vendor in multiple Gartner reports including the Gartner Modern BI and Analytics Platform report and the Gartner Magic Quadrant for Business Intelligence and Analytics Platforms Report.

Original Post: What is Gradient Boosting Regression and How is it Used for Enterprise Analysis?

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Self-Serve Data Preparation Prepares You for the Future! https://www.elegantjbi.com/blog/2021/03/25/self-serve-data-preparation-prepares-future/ https://www.elegantjbi.com/blog/2021/03/25/self-serve-data-preparation-prepares-future/#comments Thu, 25 Mar 2021 08:12:49 +0000 https://www.elegantjbi.com/blog/?p=7171 Continued]]> self-serve-data-prep-is-your-new-best-friendDon’t Be Afraid of Self-Serve Data Preparation! It’s Easy. You Can Do It!

Oh, the mysterious world of data preparation! It is daunting and confusing and…wait, no! It doesn’t have to be. If you aren’t employed as an IT professional, a business analyst or a data scientist, you probably see this arena as confusing and intimidating and you probably want nothing to do with data preparation. BUT, when you need a report, or you have to provide a recommendation to your boss in a staff meeting, you desperately need that data and that analysis, don’t you?

So, what if you could do the data preparation yourself? Self-serve data preparation can actually make your job easier and give you the information you need more quickly and with accuracy and clarity. And, if you don’t think your business (or your boss) will be all that interested in this opportunity, consider these Gartner predictions: ‘By 2023, overall analytics adoption will increase from 35% to 50%, driven by vertical- and domain-specific augmented analytics solutions.’ and, ‘Through 2025, 80% of organizations seeking to scale digital business will fail because they do not take a modern approach to data and analytics governance.’

What does that mean, exactly? What it means is that, as an employee or team member, you will be expected to jump into the digital transformation initiative with both feet and that a self-serve data prep tool will become your new best friend!

Augmented data preparation features allow business users with average skills to perform data preparation and to transform, shape, reduce, combine, explore, clean, sample and aggregate data, without the need for SQL skills, ETL or other programming language. These self-serve data prep tools allow users to extract, transform and load (otherwise known as ETL) data for analysis, so you don’t have to wait for IT or for a data scientist to help you prepare data and perform analysis.

You can use sophisticated, intuitive tools to compile and prepare data for use in analytics to test hypotheses, visualize data and create and share reports with other users and machine learning capability within the solution will provide guidance to determine the best techniques and the best fit transformations for the data you want to analyze, so you can better understand the data. You can search data, profile and catalogue, connect and mash-up data appropriately, and collaborate with other users to get the results you need.

If you are ready to take on the world of Self-Serve Data Preparation, and combine powerful Self-Serve Data Prep tools with Smart Data Visualization and Predictive Analytics, you can start today!

Original Post : Self-Serve Data Prep is Your New Best Friend!

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Smarten Support Portal Updates – March – 2021! https://www.elegantjbi.com/blog/2021/03/24/smarten-support-portal-updates-march-2021/ https://www.elegantjbi.com/blog/2021/03/24/smarten-support-portal-updates-march-2021/#comments Wed, 24 Mar 2021 06:30:19 +0000 https://www.elegantjbi.com/blog/?p=7162 Continued]]> smarten-support-portal-updates-march-2021We invite you to explore our latest knowledgebase articles and to join the Smarten user community on Smarten Support Portal.

If you have not registered yet, Click Here to obtain your login credentials.

 

 

 

 

 

 

Knowledgebase Articles

  1. Assisted Predictive Model: Handling Outliers Using Smarten Assisted Predictive Modelling
  2. Others: Handling UTF Encoding for Metadata database

Forum Topics

  1. Dashboard: My user list is empty while publishing any object?
  2. SSDP: Dataset Action Editor – Action item status (active or inactive) is not saved permanently

Usecases

  1. SSDP: Derive monthly closing balance of various items from yearly opening balance and their monthly transactions data
  2. SSDP: Get day wise new addition of counts from the data with day wise closing balance of counts

If you don’t find what you need in the Support Portal, we hope you will contact us with your questions, comments or suggestions. We are here to help and to support your business goals and success!

URL: Smarten Customer and Partner Community
Email: support@Smarten.com

Original Post : Smarten Support Portal Updates – March – 2021!

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How Do I Improve Results for My Small eCommerce Business? https://www.elegantjbi.com/blog/2021/03/22/improve-results-small-ecommerce-business/ https://www.elegantjbi.com/blog/2021/03/22/improve-results-small-ecommerce-business/#comments Mon, 22 Mar 2021 07:51:44 +0000 https://www.elegantjbi.com/blog/?p=7158 Continued]]> can-analytics-help-me-improve-my-ecommerce-businessSmall eCommerce Businesses Can Improve Results with Analytics!

If you are a business owner with an eCommerce or online shopping site, you probably spend a lot of time trying to understand your business results. There are numerous surveys that address the market and the activity in online shopping. Regardless of which survey you read, you are probably surprised to know that more than 2 billion people shop online. But, those numbers don’t tell the whole story. It is also important to understand that people will often check prices online while they are standing in a retail store just to see if they can find something at a better price. So, they don’t always buy your services or products just because they visit your site. And, you are probably not surprised to know that your competition is growing every day. You know that better than anyone.

So, as a small business owner, with a limited budget and a limited number of employees, how do you accurately and effectively analyze your results and use that analysis to improve your site, your products and your customer engagement? No matter how small your business is, you can afford an analytics solution and simply and easily integrate that solution so that your users don’t have to be a data scientist to understand how to use the analytics to make decisions and so that they will not be required to learn a complex analytics system in order to get the information they need to make changes, leverage opportunities and solve problems.

A simple, user-friendly, integrated analytics solution can provide information on sales trends and patterns, provide measurable key performance indicators (KPIs) to make fact-based decisions on what is working and what needs to change, and help you understand your customer buying behavior and the lifetime value of a customer. Keep a customer and you will not have to spend the money to acquire a new one to replace that customer. It’s that simple. So, once you have your customer engaged, you want to keep them happy.

If you are a small business owner with an eCommerce site, you can easily implement analytical capability using a solution that Integrates Shopify With Augmented Analytics, and provide your users and business a meaningful way to compete and succeed, and you can evaluate the solution in a free trial to determine the business benefits.

Contact Us to today to find out how SmartenApps for Shopify can help you achieve your goals.

Original Post : Can Analytics Help Me Improve My eCommerce Business?

 

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Data Agility and Popularity vs Data Quality in Self-Serve BI and Analytics! https://www.elegantjbi.com/blog/2021/03/19/data-agility-popularity-data-quality-self-serve-bi-analytics/ https://www.elegantjbi.com/blog/2021/03/19/data-agility-popularity-data-quality-self-serve-bi-analytics/#comments Fri, 19 Mar 2021 12:24:28 +0000 https://www.elegantjbi.com/blog/?p=7153 Continued]]> data-agility-and-popularity-vs-data-quality-in-self-serve-bi-and-analyticsOne of the most valuable aspects of self-serve business intelligence is the opportunity it provides for data and analytical sharing among business users within the organization. When business users adopt true self-serve BI tools like Plug n’ Play Predictive AnalysisSmart Data Visualization, and Self-Serve Data Preparation, they can apply the domain knowledge and skill they have developed in their role to create reports, analyze data and make recommendations and decisions with confidence.

It is not uncommon for data shared or created by a particular business user to become popular among other business users because of a particular analytical approach, the clarity of the data and conclusions presented or other unique aspects of the user’s approach to business intelligence and reporting.

In fact, in some organizations, a business user can get a reputation as being ‘popular’ or dependable and her or his business intelligence analysis and reports might be actively sought to shape opinion and make decisions. That’s right, today there is a social networking aspect even in Business Intelligence.

Think of it as Social Business Intelligence or Collaborative Business Intelligence. It is a new concept that we can certainly understand, given the modern propensity for socializing and sharing information that people want to share, discuss, and rate and they want to understand the context, and views and opinions of their peers and teammates.

By allowing your team members to easily gather, analyze and present data using sophisticated tools and algorithms (without the assistance of a programmer, data scientist or analyst), you can encourage and adopt a data sharing environment that will help everyone do a better job and empower them with tools they need to make the right decisions.

When considering the advantages of data popularity and sharing, one must also consider that not all popular data will be high-quality data (and vice versa).

So, there is definitely a need to provide both approaches in data analysis.

Create a balance between data quality and data popularity to provide your organization and business users with the best of both worlds.

You may also wish to improve the context and understanding of data among business users by leveraging the IT curation approach to data and ‘watermarking’ (labeling/tagging) selected data to indicate that this data has been certified and is dependable.

Business users can then achieve a better understanding of the credibility and integrity of the integrated data they view and analyze in the business intelligence dashboard and reports.

As the organization builds a portfolio of reports and shared data it can better assess the types of data, formats, analysis and reports that are popular among its users and will provide more value to the team and the enterprise.

Encourage your team members to share their views and ratings, with self-serve data preparation and BI tools and create an environment that will support power business users. While self-serve data prep may not always produce 100% quality data, it can provide valuable insight and food for thought that may prompt further exploration and analysis by an analyst or a full-blown Extract, Transform and Load (ETL) or Data Warehouse (DWH) inquiry and report.

There are many times when the data extracted and analyzed through self-serve data preparation is all you will need; times when the organization or the user or team needs solid information without a guarantee of 100% accuracy. In these times, the agility of self-serve data prep provides real value to the business because it allows your team to move forward, ask questions, make decisions, share information and remain competitive without waiting for valuable skilled resources to get around to the creating a report or performing a unique inquiry or search for data.

If you build a team of power business users, and transform your business user organization into Citizen Data Scientists, your ‘social network’ of data sharing and rating will evolve and provide a real benefit to the organization. Those ‘popular’, creative business users will emerge and other users will benefit from their unique approach to data analysis and gain additional insight This collaborative environment turns dry data analysis and tedious reporting into a dynamic tool that can be used to find the real ‘nuggets’ of information that will change your business.

When you need 100% accuracy – by all means seek out your IT staff, your data scientists and your analysts and leverage the skilled resources to get the crucial data you need. For much of your organization, your data analysis needs and your important tasks, the data and analysis gleaned from a self-serve data preparation and business intelligence solution will serve you very well, and your business users will become more valuable, knowledgeable assets to your organization.

By balancing agility and data ‘popularity’ and democratization with high quality, skilled data analysis, you can better leverage all of your resources and create an impressive, world-class business ‘social network’ to conquer the market and improve your business. To achieve a balance between data quality and data popularity, your organization may wish to create a unique index within the business intelligence analytics portal, to illustrate and balance data popularity and data quality, and thereby expand user understanding and improve and optimize analytics at every level within the enterprise.

Original Post : Data Agility and ‘Popularity’​ vs. Data Quality in Self-Serve BI and Analytics!

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Handling Outliers Using Smarten Assisted Predictive Modelling! https://www.elegantjbi.com/blog/2021/03/18/handling-outliers-smarten-assisted-predictive-modelling/ https://www.elegantjbi.com/blog/2021/03/18/handling-outliers-smarten-assisted-predictive-modelling/#comments Thu, 18 Mar 2021 11:32:01 +0000 https://www.elegantjbi.com/blog/?p=7112 Continued]]> handling-cors-issues-with-api-in-google-chrome1. Outlier, an Outsider!

Outliers, also referred to as anomaly, exception, irregularity, deviation, oddity, arise in data analysis when the data records differ dramatically from the other observations. In layman’s terms, an outlier can be interpreted as any value that is numerically far-flung from most of the data points in a sample of data.

about-outliers

About Outliers

 

2.  Understanding an Outlier is more important than finding it!

      In real world scenarios, we all have come across Outliers in many observations and made such statements as:

  • This number is too big. It can’t be right!
  • Why are there so many zeros?
  • Since everybody else answered the survey with an 8 or a 9, how come this guy put in all 1’s and 2’s?
  • If they only earned $300 last year, I don’t care about it.

People tend to believe that numbers tell the story, but the truth being that there underlies a story behind every number! Basically, it is of utmost importance to deal with the outliers in the data pre-processing steps for any kind of data analytics problem statement as a lot of parametric statistics like mean, correlation as well as many machine learning models like Linear Regression, ANOVA, K-Means Clustering, Support Vector Machines to name a few are sensitive to outliers and if not treated well, they may mess up with our data analysis.

3.   Dealing with Outliers: A secret ingredient for success of data analysis

Before we get too into the weeds of dealing with Outliers, let’s understand the basis of their occurrence. Some of the major occasions while we come across such data are:

  • Mistake in recording, entry or processing (such errors can occur in measurement, in data entry as well as while undergoing sampling.
  • Observational Error (for instance, say a balance showing non-zero value even when no weight is placed on it. This might be because of surrounding environment)
  • Natural entry (not an error, novelties in data)

        The most common techniques to deal with outliers is:

  • Remove Outliers
  • Replace Outliers

4.   Smarten Assisted Predictive Modelling: Take the Guesswork out of Planning!

Every organization must plan and forecast results. If the enterprise is to succeed, it must strive for accuracy and identify trends and patterns in the market and industry that will help it to predict future results, plan for growth and capitalize on opportunities. Smarten Insight provides predictive modeling capability and auto-recommendations and auto-suggestions to simplify use and allow business users to leverage predictive algorithms without the expertise and skill of a data scientist.

5.   Become one with the data!

When it comes to data pre-processing, Smarten has provision to suffice the data pre-processing steps intelligently without much of the efforts to be put from the end users. Out of the many data operations taken care of, Smarten has a quick mechanism for handling the outliers from any dataset before the data is provided for any further analysis. Let’s gradually go through the Smarten mechanism for Handling Outliers!

Any kind of analysis initiates by looking upon the data. Keeping a note that we already have a predefined dataset uploaded to Smarten, let’s get started slowly but surely by opening a dataset to be pre-processed using Smarten.

  • Steps to Open a loaded dataset in Smarten:

            1. Go to Open -> Data in top right drop-down in Smarten

            2. Search for the dataset to analyze 

            3. Examine the dataset

Let’s cite the most trending dataset in today’s date to add flavor to our data processing! Hereby, we shall be dealing with the Covid-19 dataset for daily reported cases for each of the Indian states and the required attributes and carry forward with our study.

On opening the dataset, we will be able to view the attributes (columns) for the ‘Corona_Statewise_India’ dataset and be able to draw some superficial insights.

 

view-the-dataset-in-smarten

View the Dataset in Smarten  

 

A gaze at the dataset reveals the following attributes of concern:

  • Date
  • Name_of_State_UT
  • Total_Confirmed_cases_Indian_National
  • Total_Confirmed_cases_Foreign_National
  • Total_Cases
  • Cured_Discharged_Migrated
  • Latitude
  • Longitude
  • Death
  • Avg_Temp

    Considering the above attributes, we can frame handful of use-cases like:

  • Predicting Total Covid-19 positive cases in India or Foreign for a given time span
  • Forecast the number of cured/discharged/migrated cases from the provided data
  • Forecast the number of confirmed cases for a given state or union territory or a given region based upon Latitude and Longitude attributes
  • Examine the relationship between Death rate per day based upon average temperature, region and state
  • Examine the fluctuations in Total number of Covid-19 positive cases based upon other influencing factors. 

In order to build an appropriate predictive model for any data and to obtain satisfactory results, we need to get rid of the outliers beforehand at the data processing stage.

6.   What to Do? Let Smarten handle the Out,Liar!

Smarten intelligently handles Outliers in data with the users having to do just a couple of steps.

The highlighted icon depicts the Outlier feature in Smarten:

 

outlier-icon

Outlier Icon
 

The next straight-thinking step is to click the outlier icon and to understand what it offers. The following panel opens up on clicking the outlier icon:

 

outlier-window-opens-on-clicking-the-outlier-icon

Outlier Window opens on clicking the Outlier Icon
 

The outlier panel provides users an option to select the columns (i.e., attributes) from all the available attributes to process the outliers. Not all the attributes need to be processed and many of the attributes strongly require that the outliers be discarded before proceeding to any further data analysis and operations. So as a user, one must have a basic understanding upon which attributes need to be dealt with. However, Smarten makes this brainstorming task easier by providing an option to the users to by default select all the attributes and then makes provision for further insights which assists the users in designating their set of attributes to be processed.

 

selection-of-features-to-be-dealt-with-outliers

Selection of Features to be dealt with Outliers
 

As indicated in the figure, the icon besides each attribute in the available column leads them to the selected columns which are to be processed for outlier treatment. Similarly, users have flexibility in removing them from the selected column by the – icon. In case of selecting all the available attributes for outlier processing,  icon at the top serves the purpose.  icon serves the purpose of deselecting all the selected attributes. Apart from this, Smarten also has a provision wherein the users can directly search for the attributes to indulge in Outlier handling tasks from the search bar. This essentially helps when there is a huge number of available attributes and users want only a handful of them to be quickly pre-processed.

Upon making the mind on the attributes to be dealt with for Outlier processing, click on the Apply button which leads us to the following window.

In order to reduce the friction in understanding, let’s at first only select one attribute (i.e., Total_Confirmed_cases_Indian_National) and look upon what all Smarten has to provide. 

 

outlier-feature-wise-panel-opens-on-clicking-the-apply-button

Outlier Feature-wise Panel opens on clicking the Apply Button
 

The window is clearly suggesting to us that out of the total number of records in the dataset, 20 records (constituting 5.9% of the total number of records) seems to have been detected as outliers while considering the Total_Confirmed_cases_Indian_National attribute with 100% accuracy!

  •  How to know the total number of records in our dataset?

Smarten comprises a feature of enable record count which assists us to swiftly know the number of records at any given instance in our dataset. On clicking the icon as demonstrated in the image below, smarten displays the total count of records available at present instance in our dataset.

 

enable-record-count-feature-in-smarten

Enable Record Count feature in Smarten
 

7.   Before thinking about what is on the edges, it is important to think of what lies at the midway! Box plots assists to explain the outlier behavior!

A box plot is a graphical representation of statistical data based on the lower bound, lower quartile, median, upper quartile, and upper bound. On a mouse hover upon the box plot we obtain all of this details for the data of the selected attribute.

 

taking-insights-from-the-box-plot

Taking insights from the Box Plot
 

The outliers are the data points extending beyond the upper and lower bounds. The red bubble is indicative of the extreme outlier which lies farthest from the median data point. The figure below is indicative of the fact that our data contains a record with 87 cases in Total_Confirmed_cases_Indian_National which is farthest from our stated median value for total cases being 3. This helps the user understand the variability caused in the data and make appropriate decisions to deal with the outlier by either removing them or replacing them. 

 

smarten-highlights-outlier-with-extreme-value-with-a-red-bubble

Smarten Highlights Outlier with extreme value with a red bubble
 

8.   Download and View the Outlier Data

Smarten has a provision wherein the end users can get to download and view the outlier data for the selected attributes by simply clicking on the Click here to download URL.

 

download-and-view-the-corresponding-outlier-data

Download and View the corresponding Outlier Data
 

On clicking the URL to download the data, we are provided with the excel file recording the 20 records detected as the outlier data from our entire dataset for the selected attribute (here Total_Confirmed_cases_Indian_National).

 

excel-file-constituting-the-outlier-data-for-the-chosen-features

Excel file constituting the Outlier Data for the chosen features
 

It can be hereby recalled that the outlier data consists of all the records with Total_Confirmed_cases_Indian_National attribute values lying beyond the upper bound (i.e., 29).

9.   Shall an outlier be removed or replaced from analysis?

The answer to this is seemingly straightforward but not simple! Sometimes, an outlier can be a genuine data point and in such a scenario removing them will not be a great option. But an outlier may also be a misrepresentation or an error and in such an occasion, it’s wiser to remove them entirely from our data. Also, while making such a strategy, one must also take into consideration the number of outliers in the data, if there is a high quota of outlier data in our dataset, removing them will shrink our data considerably leading to less data for making analysis. In such a context, replacing the outlier offers to be a recommended option. Furthermore, when something unusual happens in our data, something important might have happened to our business! Outliers in such scenarios, empowers us in making meaningful decisions. Say for instance, the number of Covid-19 positive cases has shown an abrupt hike because of businesses and schools reopening. Now this can genuinely be correct data and treating them as outliers and removing them may not allow us to recognize the causes for increase in number of cases. So, such variables shall be retained as it is in our data. The crux of the discussion is that one must be aware of their data and the use-case to be dealt while dealing with the outliers!

Smarten equips us in making the remove and replace operations for outliers easily at one click!

 

remove-outlier-from-the-data-option

Remove Outlier from the Data Option
 

On clicking the Remove Outliers button, we get a confirmation pop-up in order to reconsider our decision. Once made the decision, the records containing outliers in the chosen attributes are totally removed from the dataset and we obtain our processed dataset. One can also check the count of the new dataset obtained by selecting the enable record count feature and note the amount of data loss for the advancing data analysis steps.

 

replace-outlier-from-the-data-option

Replace Outlier from the Data Option
 

On clicking the Replace Outliers button, we obtain confirmation pop-up in order to think over our decision. Smarten replaces the value of the outlier data of the selected attributes with the median value of that attribute. This option retains the data count of the dataset and the user has to make no compromise upon the amount of data provided to the model for further analysis.

10.     Better data beats fancier algorithms.

If you are with me so far, and you have done your homework in understanding Outliers and their effect and impact on our data, you might have comprehended that better data does not always mean more data. Though having more data, both in terms of a greater number of records and more features to study is a blessing, one must always invest in directing efforts towards improving the data. Many a times, lot of attempts are made in building fancier algorithms to tackle use-cases in order to attain high accuracy matrix. But a better data shall always beat fancier algorithms so its recommended to get rid of outliers in the initial pre-processing steps so that our algorithms can furnish better outcomes. However, on a closing remark, data is very important for analysis, but data without sound approach is a noise in itself! So, Smarten apart from making a provision in achieving better data, also provides us with sound machine learning algorithms to attain the requisite outcome without taking much of the user’s efforts!

 

Note: This article is based on Smarten Version 5.1.1. This may or may not be relevant to the Smarten version you may be using.

Original Post : Handling Outliers Using Smarten Assisted Predictive Modelling!

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Auto Insights Provide Simple Answers for Business Users! https://www.elegantjbi.com/blog/2021/03/15/auto-insights-provide-simple-answers-business-users/ https://www.elegantjbi.com/blog/2021/03/15/auto-insights-provide-simple-answers-business-users/#comments Mon, 15 Mar 2021 07:03:30 +0000 https://www.elegantjbi.com/blog/?p=7105 Continued]]> auto-ml-npl-and-clickless-analytics-help-your-business-usersHow Can I Make It Easier For Business Users To Perform Analytics?

When a business wants to roll out advanced analytics to its business users, it must consider the average skill level and understanding of analytical techniques and ensure that the solution it chooses will support its project goals. One of the most important factors of business user analytics is user-friendly, simple analytics in an augmented analytics environment.

This type of environment provides support to achieve the right visualization, prepare the data in the correct way for analysis and choose the right analytical techniques. In this way, business users can leverage predictive analytics and produce results that are clear and easy to understand – all without asking the user to create complex searches or to understand the deep and broad details of analytical techniques.

The goal is to provide insight and help users make a decision without frustrating them or taking up a lot of their time! To do this, the augmented analytics solution uses machine learning, Auto ML, and natural language processing (NLP) to help the user collect and analyze data with the guided assistance of a ‘smart’ solution. Users don’t have to select data columns or choose analytical techniques like classification or clustering. All they have to do is select the dataset they want to analyze. The system will interpret the dataset, select important columns of data, analyze its type and variety and other parameters and then use intelligent machine learning to automatically apply the best algorithm and analytical technique and provide data insight.

The augmented analytics solution can apply correlation, classification, regression, or forecasting, or whichever technique is relevant, based upon the data the user wishes to analyze, and the results are displayed using visualization types that provide the best fit for the data, with data presented in simple natural language. So, business users do not have to be data scientists or spend a lot of time gathering, analyzing and trying to understand results!

If you want to make confident business decisions with automated data insights into your data, explore the benefits of the Auto Insights, Augmented Analytics features, and Contact Us to get started.

Original Post : Auto ML, NLP & Clickless Analytics Help Your Business Users!

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Mobile BI for All Users and All Devices! https://www.elegantjbi.com/blog/2021/03/11/mobile-bi-users-devices/ https://www.elegantjbi.com/blog/2021/03/11/mobile-bi-users-devices/#comments Thu, 11 Mar 2021 07:23:59 +0000 https://www.elegantjbi.com/blog/?p=7101 Continued]]> mobile-business-intelligence-must-suit-all-devicesNot Just Any BI Tool! You Need Mobile BI for Every Device AND Great Performance!

If you are considering a modern business intelligence solution, there is a real necessity to choose an option that provides mobile business intelligence access and capability. Today’s workforce is mobile and team members expect to have seamless access, no matter the device they choose to use. Mobile BI solutions enable data sharing, fact-based decision making and optimize productivity. No matter where your team members are, in or out of the office, they should have access to critical business intelligence in order to keep your business moving and fulfill their roles and responsibilities.

The solution you choose should not dictate or restrict the device, the screen size or the setting but rather provide access to your critical business intelligence data on any device you choose with a responsive user interface (UI) and high performance. In order to perform tasks, analyze information, solve problems and share information, users need integrated business intelligence tools that provide access to data in an interactive, personalized view and enable data sharing, identification of trends and patterns and user empowerment and accountability.

While you are compiling your requirements, don’t forget to look at licensing and training considerations. If you want your team members to adopt the solution, you’ll want a simple tool that requires minimal (or no) training and is easy and intuitive to use. AND, you’ll want a mobile business intelligence tool that has an affordable licensing structure that will allow you to easily and cost-effectively expand your user base.

Choose a business intelligence solution that allows every user to have access to critical BI tools and information in the office and on the road. Mobile BI

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With Support, Citizen Data Scientists Can Be Successful! https://www.elegantjbi.com/blog/2021/03/08/support-citizen-data-scientists-successful/ https://www.elegantjbi.com/blog/2021/03/08/support-citizen-data-scientists-successful/#comments Mon, 08 Mar 2021 10:00:22 +0000 https://www.elegantjbi.com/blog/?p=7094 Continued]]> how-can-your-citizen-data-scientists-succeedCreate an Environment that is Suitable for Citizen Data Scientists!

When a business user takes on the new role of Citizen Data Scientist, it is often with misgivings and concerns. If their business and management team have not adequately explained the expectations of this new role, or made the workflow and cultural changes required to ensure that this new role is successful, the business user and team member is likely to fail, and the Citizen Data Scientist initiative is likely to fail.

When a business considers how best to improve data literacy and implement digital transformation, the transition of business users and team members to Citizen Data Scientists is a crucial part of this new environment. In order to succeed, businesses must take a careful, thorough look at how the business used to work, how it must now work and how roles will change in order to successfully implement these changes. Here are just a few of the areas that must be addressed:

  • Comprehensive communication of new roles and responsibilities and enforcement of these new roles with appropriate empowerment and accountability for managers, team members, IT, data scientists etc.
  • Basic, foundational training on new workflow, new systems and solutions and new processes to ensure that all team members understand how to use the tools and processes to add value and accurately complete tasks.
  • Basic training on analytics techniques to ensure that team members are not intimidated and will willingly adopt and use the augmented analytics tools and the techniques involved in analytics.
  • Adapted hiring, training, annual evaluation and feedback processes to support, encourage and reward business users and team members as they take on this new role.
  • Review and changes for business analysts, data scientists and IT to re-focus roles toward more strategic responsibilities and establish appropriate connections and collaborative work processes between Citizen Data Scientists and analytical teams as there is a need for more accuracy and strategic focus in day-to-day analytics.
  • Assessment and changes to the systems and solutions, workflow and processes used to communicate with suppliers, partners, stakeholders and customers and leverage the possibilities of digital transformation and data-informed decisions across the enterprise.

With the right attention to detail and processes and support for these new roles and approaches to business, the enterprise can assure its success and the success of its Citizen Data Scientists and reap the benefits of this approach to business.

Contact Us to today or Click Here to begin your Citizen Data Scientist journey.

Original Post : How Can Your Citizen Data Scientists Succeed?

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Are You Greedy for Customers? https://www.elegantjbi.com/blog/2021/03/05/greedy-customers/ https://www.elegantjbi.com/blog/2021/03/05/greedy-customers/#comments Fri, 05 Mar 2021 07:42:45 +0000 https://www.elegantjbi.com/blog/?p=7088 Continued]]> are-you-greedy-for-customersSometimes it is hard to ignore the distractions that threaten to take you off course and scuttle your business success. One such distraction happens when we give in to temptation and reach for more customers or new customers without regard for the fact that these customers are not a good fit for our products, our services, our team or our phase of growth.

If we overextend our resources, our staff or our focus, we risk losing our core business and our loyal customers as well as the targets we SHOULD focus on. There are a lot of things that can go wrong when you try to expand your customer base at the expense of stability and focus.

 

  • You might assign staff or expand locations to target these new customers and in so doing, deplete the resources and funds you need to retain existing customers or target customers that better fit your product or service profile.
  • You might target a risky customer base that will not pay bills on time because they don’t have the funds or because they are not dependable.
  • You might close a deal that requires you to provide a different product or service or expand in a way that will challenge you to meet your obligations and this could affect your reputation, and your ability to stay in business.
  • You might deviate from your core business and competency and be seen as a company that does a bit of everything but doesn’t do any one thing well!
  • You might stretch the boundaries of your products, services or staff and provide ‘good enough’ rather than ‘excellence’ so that your customer satisfaction decreases.
  • You might substantially change the role, or success of a sales person, a team member, or a manager and, by doing so, you might lose good employees.
  • You might find yourself dealing with a customer account or market segment that will cause you to deviate from your product road map…..

Any or all of these things can happen when you overreach and try for customers that are not a good fit, or attempt to expand a market to include a customer base that doesn’t satisfy your target market. When temptation looms, you have to turn back to your bedrock mission, vision and core competencies and carefully assess the advisability of taking this leap.

I have seen it happen many times with large and small companies and it is never pretty! It happens when a large enterprise acquires another company to expand its customer base by offering new products and services it cannot support and doesn’t understand. It happens when a small company tries to reach into a competitor’s market share and steal customers who do not want the features or products they offer. It happens when a business sees a market segment and a group of customers they think they can target and ignores the fact that these customers do not fit their company profile. This is a common misstep and it happens when an organization decides that winning a particular customer will influence other customer decisions. The thought process goes something like this, ‘Customer X is influential in the market and if I can get them on board, other customers will follow suit.’

In order to get these customers on board, you will have to use precious resources, and you might have to deviate from your product roadmap, you will incur expenses, and you just might change your fortune with existing customers and market reputation.

Do what you do well, focus on the core, and find and retain the customers that are most likely to buy your products or services – those who want and need what you have to offer and are willing to pay for what you provide.

When we give in to temptation, it is usually because we are greedy. We want more but more isn’t always better.

Be prudent and logical and look at new customers as you would any new relationship. Is this person going to like what you have to offer? Are they going to make you happy? Can you make THEM happy?

Don’t give in to greed or set impractical expectations. Stay the course, and expand and grow organically.

Don’t force success!

Original Post : Are You Greedy for Customers?

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Plan Precisely with Predictive Analytics! https://www.elegantjbi.com/blog/2021/03/01/plan-precisely-predictive-analytics/ https://www.elegantjbi.com/blog/2021/03/01/plan-precisely-predictive-analytics/#comments Mon, 01 Mar 2021 07:54:57 +0000 https://www.elegantjbi.com/blog/?p=7081 Continued]]> predictive-analytics-lets-you-dream-and-planIs Predictive Analytics Real or Does it Promise More Than it Delivers?

Why would anyone want or need to use predictive analytics? What good is forecasting anyway? Doesn’t it always end up being wrong? Well, no! That’s why wise businesses use these techniques to plan and forecast and to understand how a change they are considering might impact their business success. Nearly every organization today is using analytics to improve productivity, competitive positioning, market presence, financial investment strategies, price point planning, risk mitigation and many other business factors.

Here are just a few of the ways in which you can use predictive analytics to refine your business strategy, discover opportunities and plan for the future. These examples may give you some insight into how your own business might benefit from predictive analytics and the use of augmented analytics within your teams:

  • Banking, Financial Services, Insurance: Risk and fraud mitigation helps the business to mitigate fraud, refine loan approval processes, improve business results and develop and sustain fraud detection to enable operations monitoring.
  • Retail, Small Business Services: Understanding customer churn and how to sustain a customer relationship rather than having to replace a lost customer. Businesses can also plan for demand and accommodate seasonality or other factors with adjustment of supplies, inventory and resource plans.
  • Research, Medical, Wellness: Targeting clients and customers in a particular demographic or with particular characteristics or traits to anticipate the need for additional supplies, resources, and develop key messages to attract and inform the right market or segment.
  • Manufacturing, Production, Supply Chain, Infrastructure, Logistics: Plan for necessary maintenance, reduce downtime, assure appropriate resources, training and more.
  • Technology, Professional Services: Anticipate the hiring, training and job satisfaction issues that will allow the business to hire the right people and retain the right talent and skills.

These are just a few of the ways predictive analytics can help your business to succeed with assisted predictive modeling, augmented analytics that are suitable for every business user and intuitive for use by those with average technical skills. Predictive analytics for business users allows your organization to test theories and hypothesize how a change might affect the outcome and bottom line. It enables business users and the management team to forecast more accurately and confidently.

If you want to benefit from Predictive Analytics And Assisted Predictive Modeling, Contact Us today. Explore our Use Cases to better understand how Predictive Analytics is used in business today.

Original Post : Predictive Analytics Lets You Dream…and Plan!

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Give Your Business Users Simple Augmented Analytics! https://www.elegantjbi.com/blog/2021/02/24/give-business-users-simple-augmented-analytics/ https://www.elegantjbi.com/blog/2021/02/24/give-business-users-simple-augmented-analytics/#comments Wed, 24 Feb 2021 08:24:18 +0000 https://www.elegantjbi.com/blog/?p=7075 Continued]]> business-users-can-adopt-analytics-tools-with-basic-knowledgeBusiness Users Don’t Have to Be Data Scientists (But Basic Knowledge is Great)

When you launch an analytics solution within your enterprise, you are probably concerned about getting your business users to adopt that solution. If you can’t engage the business user and achieve user adoption, your return on investment (ROI) will be poor!  But, it is important to understand that the right augmented analytics solution can provide the structure and foundation for business users without requiring them to have a sophisticated knowledge of algorithms and analytical techniques.

Features and tools like Assisted Predictive Modeling, Smart Data Visualization and Self-Serve Data Preparation allow users to get auto-recommendations, suggestions and guidance that will produce clear results – results that business users will not have to interpret. The format for visualization will guide a user to the right displays and graphics based on the type and volume of data and other factors. The predictive analytics tools will allow the user to choose the right type of algorithm or analytical technique based on the type of data, what the user wants to know about the data and other factors. Self-serve data prep allows users to quickly gather and assemble data for analysis without knowledge of programming, scripting or data extraction, transformation and loading (ETL) techniques.

In short, the user does not need to be an IT professional, a programmer or a data scientist to get the results they need. The only requirement (and it is an important one) is that business users have a basic understanding of analytics as follows:

  1. Understanding of the reasons for analytics and the benefits of working with fact-based data
  2. Opportunity to work with a simple, augmented analytics solution with support and guidance as required
  3. Understanding of what analytics can tell them and how it can support their day-to-day efforts
  4. Basic knowledge and exposure to analytical techniques used within the augmented analytics solution

While advanced, comprehensive training is not required to ensure that your augmented analytics solution is adopted across the enterprise, your business must have a plan in place to provide the most basic instruction and support so that business users are encouraged and eager to use the augmented analytics solution you provide.

If you want to engender confidence and ensure your users adopt Augmented Analytics, Contact Us to get started.

Original Post : Business Users Can Adopt Analytics Tools with Basic Knowledge!

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Smarten Support Portal Updates – February – 2021! https://www.elegantjbi.com/blog/2021/02/23/smarten-support-portal-updates-february-2021/ https://www.elegantjbi.com/blog/2021/02/23/smarten-support-portal-updates-february-2021/#comments Tue, 23 Feb 2021 07:40:17 +0000 https://www.elegantjbi.com/blog/?p=7069 Continued]]> smarten-support-portal-updates-february-2021We invite you to explore our latest knowledgebase articles and to join the Smarten user community on Smarten Support Portal.

If you have not registered yet, Click Here to obtain your login credentials.

 

 

 

 

 

 

Knowledgebase Articles

  1. Assisted Predictive Model: Medical Cost Prediction Using Smarten Assisted Predictive Modelling
  2. SSDP: Improve data extraction performance from database data source
  3. Working with Dashboards: Improve dashboard loading performance for dashboards with multiple objects

Forum Topics

  1. Dashboard: How to improve the dashboard loading time in Smarten?
  2. Datasource: How can the database query processing time be improved while working on a dataset?

Usecases

  1. SSDP: Handling multiple JOINs through Step by Step Procedure to create a dataset
  2. General: Merge monthly plan data with actual daily sales data and create plan vs actual data

If you don’t find what you need in the Support Portal, we hope you will contact us with your questions, comments or suggestions. We are here to help and to support your business goals and success!

URL: Smarten Customer and Partner Community
Email: support@Smarten.com

Original Post : Smarten Support Portal Updates – February – 2021!

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Plug n’​ Play Predictive Analysis For Business User Data Prototyping! https://www.elegantjbi.com/blog/2021/02/17/plug-n-play-predictive-analysis-business-user-data-prototyping/ https://www.elegantjbi.com/blog/2021/02/17/plug-n-play-predictive-analysis-business-user-data-prototyping/#comments Wed, 17 Feb 2021 07:22:46 +0000 https://www.elegantjbi.com/blog/?p=7061 Continued]]> plug-n-play-predictive-analysis-for-business-user-data-prototypingWhether your business is a small, single location brick and mortar enterprise or a large, multi-facility organization that spans the global market, you need access to sophisticated, easy-to-use business intelligence tools in order to compete in local, regional and global markets.

When organizations undertake the process of researching and selecting a business intelligence tool, they quickly discover that the market is crowded with solutions. In determining the best fit for your organization, it is important that you consider the way in which a particular business intelligence tool satisfies your forecasting and predictive analysis needs. There is perhaps no other single factor that will affect your business future and growth as significantly as predictive analysis. You can plan all you want but if your predictions and forecasts are based on flawed data, you are not likely to succeed, except perhaps if you are very lucky – and I wouldn’t count on luck in this rapidly changing business environment!

Give your business users a solid self-serve business intelligence tool and implement a strategy designed to empower your users and hold them accountable for decisions and to allow them to become Citizen Data Scientists. This doesn’t mean your business users must be skilled at data analysis or algorithms or programming. But, it does mean you will need the right tool to provide sophisticated functionality in an easy-to-use BI tool so that your users can quickly gather, analyze and interpret data and make confident predictions.

Imagine a world where business users can easily and dependably predict and forecast results without the help of data scientists, analysts or programmers. With Plug n’ Play Predictive Analysis Tools, it is possible for business users to perform in-depth predictive analysis and forecasting on their own. In this brave new world of self-serve business intelligence business users can create their own time series forecasting, associative, clustering, classification and other predictive analytics using drag n’ drop functionality, without the assistance of a statistician or data scientist.

Business users are not data scientists, but the right BI Tool can help users enhance their understanding and make educated decisions. When it is required, your analysts and/or IT team can jump in to create data views and reports for more strategic decisions, while business users can leverage the self-serve tool on a daily basis, to create hypotheses and prototype data for a first level look at predictive analytics.

Advanced Data Discovery and Plug n’ Play Predictive Analysis take the guesswork out of planning and allows you to leverage multiple data sources to find and analyze data and clearly illustrate results and make predictions based on historical factors, using Time Series forecasting, prediction and causation algorithms, classification and prediction techniques and other traditional, standard predictive methodologies. Business users do not have to have the skills or knowledge of an IT professional or a data scientist to perform these tasks, so your analytical and technical staff will be free to focus on other activities and your business users can pursue planning activities without assistance.

No business can afford to stumble when it comes to forecasts and strategic, operational or tactical plans. Your enterprise has a lot of information but it isn’t always easy to compile and analyze and once you have the data in front of you, it may be difficult to use it for planning purposes. With plug n’ play predictive analytics, your organization and your business users can gain insight into current and future trends and patterns and assess options for investment, pricing, new products, added resources, training, sales, partnerships and competitive tactics.

Think of Plug n’ Play Predictive Analysis as your secret weapon, one that every team member can utilize to your advantage.

Original Post : Plug n’​ Play Predictive Analysis for Business User Data Prototyping!

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Key Performance Indicators Are Crucial to Objective Metrics! https://www.elegantjbi.com/blog/2021/02/16/key-performance-indicators-crucial-objective-metrics/ https://www.elegantjbi.com/blog/2021/02/16/key-performance-indicators-crucial-objective-metrics/#comments Tue, 16 Feb 2021 07:20:08 +0000 https://www.elegantjbi.com/blog/?p=7056 Continued]]> kpis-should-be-part-of-every-business-user-dayStay on Track with Business User Access to Key Performance Indicators (KPIs)!

The days of managing a business by opinion or ‘gut feeling’ are long past. Every business has competition – whether local or global or both and the only way to know that the business is performing against objectives and goals and is strategically competitive is to use measurable goals.

Metrics take the guesswork out of business management and, when these metrics are accessible to all business users in a self-serve, modern business intelligence framework, every team member is on the same page and can perform against metrics and monitor those metrics to ensure success. Expanding those tools to allow users to drill down and through data and to produce and share clear reports will allow the business to quickly understand the root cause of a problem or identify an opportunity and, where appropriate, to adjust metrics.

With the right BI tools, users can define KPI with an easy to use, powerful expression engine and set polarity, frequency, and threshold levels using a browser based interface. The business can establish and monitor KPIs at the individual, team, department, division and company level. Defined KPIs are not limited to static monitoring but rather are dynamic so that businesses can gain meaningful insight into results and adapt in real-time. KPI Analytics provide interactive options to change frequencies, dimension break downs and drill down to further analyze trends, and reasons for performance and to identify and solve problems.

If you want a solid foundation to measure and manage your results, choose a business intelligence solution that allows every user to see and to clearly understand key performance indicators and to manage tasks and activities to achieve measurable goals and objectives. Here’s where to start: Multidimensional KPI

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Medical Cost Prediction Using Smarten Assisted Predictive Modelling! https://www.elegantjbi.com/blog/2021/02/12/medical-cost-prediction-smarten-assisted-predictive-modelling/ https://www.elegantjbi.com/blog/2021/02/12/medical-cost-prediction-smarten-assisted-predictive-modelling/#comments Fri, 12 Feb 2021 08:16:32 +0000 https://www.elegantjbi.com/blog/?p=7019 Continued]]> medical-cost-prediction-using-smarten-assisted-predictive-modelling1. A high level Overview on the Use Case :
One of the most effective use-case of data science in Healthcare is to predict medical costs of the patient based upon extensive factors contributing to higher expenditures. Rising medical costs have been a major public health concern hence getting an understanding upon the contributing factors is very crucial. Furthermore, one of the significant aspects of medical cost prediction is to identify the patients at risk to contribute to extensive costs to hospitals leading to effective resource planning. The relationship between patient’s primary medical costs and their characteristics (like age, gender, morbidity, BMI etc.) plays a vital role while investigating whether the healthcare resources are equitably allocated and to make sure that patients in equal needs are supplied with equal amount of medical care. Over and above that, it is very necessary to know how patients’ expected costs varies with respect to the commonly affecting factors.

 

2. If we have data, let’s look at it !

Now that we have a good understanding of what medical cost prediction use-case is, the next obvious step is to analyze it. Any kind of analysis initiates by looking upon the data. Keeping a note that we already have a predefined dataset uploaded to Smarten, let’s get started slowly but surely into how to open a loaded dataset in Smarten and make analysis.

  • Steps to Open a loaded dataset in Smarten:

1. Go to Open -> Data in top right drop-down in Smarten

2. Search for the dataset to analyze

3. Examine the dataset

On opening the dataset, we will be able to view the attributes (columns) affecting the use case and also be able to draw some superficial insights by pondering upon the dataset. Your dataset will look as follows:

 

medical-cost-prediction-dataset

Medical Cost Prediction Dataset

 

  • Data Analysis from Elementary Point of View:

From the dataset, we can perceive that there are multiple factors (i.e. attributes or columns) which may have an effect on our target variable (i.e. charges). Charges being discrete numeric values, may have increasing or decreasing value effect from dependable attributes. Though this outcome may vary from person to person and also the type of data we use, we can definitely derive some relevance and associations among the depending features and the amount of charges.

Our dataset consists of the following features apart from our target feature charges:

  • Age
  • Sex
  • BMI
  • Children
  • Smoker
  • Region

In layman’s terms we can derive that a smoker and an aged person might have higher medical costs in typical conditions. But this calculation might differ from person to person as well as the type of data we have in hand.

In order to validate our assumptions as well as to provide extensive data insights, Smarten provides us a straightforward as well as accurate approach to draw better conclusions from our data.

Now it’s time to gear up with some amazing data analytics using Smarten!

3.  The goal is to figure out what to do with the data!

Smarten provides us a feature of Smarten Assisted Predictive Modelling which reduces the time and skills required to produce accurate, clear results, quickly using machine learning. With Smarten Insights, the user will simply have to select the dataset to be analyzed and the broad category of the algorithm to be applied. That’s it!.The system will interpret the dataset, select important columns of data, analyze its type and variety and other parameters and then use intelligent machine learning to automatically apply the best algorithm in the selected algorithm technique in order to provide data insights.

Let’s gradually familiarize with Smarten Insights!

1.    Create a fresh  New Smarten Insight:

Goto New ->SmartenInsight  Menu in the drop-down provided in the top right corner of the Smarten Dashboard

 

create-a-new-smarten-insight

Create a New Smarten Insight

 

2.    What do you want to do? Choose Algorithm Technique Accordingly:

The following window opens on selecting Smarten Insight:

 

smarten-insight-algorithm-technique-selection

Smarten Insight – Algorithm Technique Selection

 

Smarten has a provision wherein users can select the algorithm technique best sufficing their use case and provide quality results for the chosen technique. So in order to select the best category of algorithm, users need to have some basic data literacy.

We need to choose the best algorithm technique from the following list:

  • Forecasting
  • Classification
  • Clustering
  • Correlation
  • Regression
  • Hypothesis Testing
  • Frequent Pattern Mining
  • Descriptive Statistics

Let’s put on our thinking caps and try to recognize the best suit algorithm technique for Medical Cost Prediction dataset!

The high level goal is pretty clear that we are keen in acknowledging the factors leading to fluctuations in medical charges and derive a relationship between influencing factors and medical charges. To put it in another way, we desire to describe the changes in our independent variable (i.e. charges) with respect to the influence of dependent variables (i.e. age, smoker, BMI etc.). Our target being a finite continuous numeric variable as well as dependable on various other variables, regression analysis is the most appropriate choice to get our outcomes right.

This suggests that our problem can be prototyped as a Regression Analysis and we can carry forward with our survey of getting better insights from this data using Smarten by selecting the Regression model from the list of provided algorithms techniques. Moreover, Smarten also has a provision to provide description against each algorithm technique along with a basic example to enhance data literacy and assist us in algorithm selection.

3.    Select the data for Performing Regression upon:

  • Search for the dataset (In our case it’s named Medical cost prediction-Multiple Regression-Dataset)from the search bar.
  • Select the radio button against the dataset of interest.
  • Click on the next button at the bottom to advance the procedure.

 

smarten-insight-search-and-select-dataset-for-regression-analysis

Smarten Insight – Search and Select Dataset for Regression Analysis

 

4.    Wait till Smarten is predicting the targets (outcome variable) and predictors (dependent variable) for us: 

 

smarten-insight-identify-best-target-and-predictor-for-chosen-dataset

Smarten Insight – Identify best Target and Predictor for chosen dataset

 

5.    Select the target and predictors based upon your choice:

After Smarten identifies the target and predictor columns as showcased below, we can change the settings as per our requirements.

 

smarten-insight-screen-indicating-chosen-target-and-predictors-for-regression-analysis-by-smarten

Smarten Insight – Screen indicating chosen Target and predictors for Regression Analysis by Smarten

 

5.1.  Target selection:

As we are keen at predicting the cost of medication, charges will be the apt choice for our target. In order to make charges our target variable, we must select it from the drop-down indicating ‘Select the target variable containing predefined classes or groups’.

 

smarten-insight-modifying-the-target-variable

Smarten Insight – Modifying the Target Variable

 

5.2.  Identify relevant predictors for selected Target:

Smarten has a feature wherein it selects the significant predictors for the chosen target using machine learning techniques. In this scenario, the default target chosen was of our interest (i.e. charges) and hence smarten has     already made recommendations for significant predictors for us. The predictors highlighted in yellow indicate those which are recommended to us by Smarten auto mechanism.

5.3.  Perform amendments in Predictors (Optional):

Now that Smarten has well equipped us well with the predictors, we still have a choice to add or remove the predictor selections based upon our interest. The right side table of Predictors represents those which significantly affect the target (here charges) and the left side contains the remaining predictors. The predictors on the right side table will be fed to the machine learning model to generate outcomes. So we can make alteration in the right side list of predictors using the + and – symbols before processing further.

5.4.  Run model on full or sample data option:

Sometimes, perhaps in most cases, we have to deal with huge data. Our machine learning model may take more time to run and provide us with the required outcome. In such a scenario Smarten provides us with an option of using sampled data wherein it smartly makes a sample of data resembling the full data which may give us the same result set as we would have obtained in the full data. But in our current scenario, we can use the full data to feed to the model by selecting the radio button as follows:

 

smarten-insight-sample-vs-full-data-mode-option

Smarten Insight – Sample vs Full Data Mode Option

 

5.5.  Want to run regression on entire dataset option:

Often users want to make analysis upon some filtered data. Say for instance what if we were to find the medical charges specifically for people who smoke? In such a scenario, we need to select the smoker attribute with value yes, keeping all the predictors as they are. For such filtering of data Smarten provides us with an option to run regression on the entire dataset or filtered dataset as follows:

 

smarten-insight-apply-filter-upon-input-data-attributes
Smarten Insight – Apply Filter upon Input data attributes

 

If we have no such filtering condition in mind, we can carry further with yes option in the ‘Do you want to run regression on entire dataset?’

After well performing the above effortless process, finally click on the next button which will let Smarten designate the best fit regression algorithm using machine learning tactics for our dataset.

 

smarten-insight-recommendation-of-best-fit-regression-algorithm-for-chosen-dataset-by-smarten

Smarten Insight – Recommendation of Best fit Regression Algorithm for chosen dataset by Smarten

 

4.  So that was the recipe, Now let’s taste it!

On clicking the next button, Smarten leads us to the results and interpretations for our dataset without investing much of our efforts!

 

smarten-insight-multiple-linear-regression

Smarten Insight – Multiple Linear Regression

 

This audibly suggests that Multiple linear regression is the apt machine learning algorithm for our dataset and the happy face in the interpretation is indicative of the model being quite accurate in its predictions.

5.  Smarten brings boring flat data to life using Visualizations!

For multiple linear regressions, Smarten displays the following 3 visualizations in order to get catchy and clear visual interpretations for the chosen data.

  • Line Fit Plot
  • Normal Probability Plot 
  • Residual vs Fit plot

    5.1.  Line Fit Plot:

This plot is used to plot the relationship between each Predictor and Target variable to know if they are linearly correlated. This is a good visualization practice whenever one wants to know whether increasing/decreasing the parameter leads to increase/decrease in target value or no such pattern is retrieved from our data. We can select the parameter of choice to make visualizations from the drop-down provided as in figure below:

 

smarten-insight-line-fit-plot-for-regression-analysis

Smarten Insight – Line Fit Plot for Regression Analysis

 

5.2.  Normal Probability Plot:

This plot is carried out to check the assumptions of normality in our data. This plot is helpful in adding trend line  in order to check whether the variables fit the straight line. A straight, diagonal line means that you have normally distributed data. If the line is skewed to the left or right, it means that you do not have normally distributed data. From the plot below, we can devise that our data doesn’t assume normality owing to the skewness from the normality line.

 

smarten-insight-normal-probability-plot-for-regression-analysis
Smarten Insight – Normal Probability Plot for Regression Analysis

 

5.3.  Residual vs Fit plot:

This is a scatter plot represented to detect the unequal residual variances and outliers in the data. Ideally, the point that lies outside the basic normal pattern of data is an outlier and must be removed from the data to get a better fit model! To determine this, the scatter plot must be randomly scattered among all the four quadrants for a better fit. From the figure below, we can interpret that the data is stable and there are not many outliers owing to the even distribution of the scatter plot among all the quadrants.

 

smarten-insight-residual-versus-fit-plot-for-regression-analysis

Smarten Insight – Residual Versus Fit Plot for Regression Analysis

 

6.  Every Choice we make, has an end result!

Apart from the best fit algorithm automatically opted for by Smarten, the user also has a privilege to play around with other listed algorithms and review results produced by them for further analysis. Users can test the accuracy and other metrics of varied algorithms and make a comparative review upon all as well as make better explorations.

To make analysis and draw conclusions upon algorithms apart from the best fit one, just select the algorithm of interest on the left side menu list as follows (In case of regression analysis, we currently have at best two algorithms namely simple linear regression and multiple linear regression, limiting our choice to be grounded to one, so we can choose simple linear regression for comparative analysis under this scenario):

Note: Smarten makes sure that it’s users are well aware that the default selection is the best choice if the users want to save time upon that grounds. But if a user wants to explore other algorithms, they can select the yes option and proceed.

 

smarten-insight-option-to-alter-algorithm-choice

Smarten Insight – Option to Alter Algorithm choice

 

As advised by Smarten pop-up, we cannot apply a simple linear regression algorithm for our chosen data as it consists of more than a single predictor variable.it’s not always a scenario wherein any algorithm can be applicable to any dataset. There are some regulations for every machine learning algorithm which the data must satisfy in order to perform analysis with. Smarten has provided apt pop-ups if our data is not sustainable for the algorithm selection.

7.  Simpler the Insight, more profound the Conclusion !

Out of many features provided, Smarten insight has 3 key sections which will assist us in better interpretation of our data. Them being:

  • Interpretation
  • Model Summary
  • Apply
  • Simulation

7.1.  Interpretation :

The interpretation section provides the users an in-depth insight from the dataset in easy to understand language.

 

smarten-insight-interpretation-section

Smarten Insight – Interpretation Section

 

We can make interpretations regarding the significant attributes for our target(i.e. Medical charges) as well as devise the type and amount of impact they play on the target. For illustration, here we can make out that person’s age is significant in predicting the medical cost. Moreover, as the age increases, the charges increase linearly with a coefficient of 256.711.

7.2.     Model Summary:

The model summary section contains a more technical summary of the data. This is specially put to Smarten insight to provoke data Literacy. For instance, for carrying out regression analysis of the model, data scientists make conclusions by making interpretations from the obtained R square, RMSE and many other utility metrics. Smarten provides us even this feature to validate the technical aspect with the generalized interpretations.

 

smarten-insight-model-summary-section

Smarten Insight – Model Summary Section

 

In nomenclature, R square is used in regression analysis to address the goodness of fit as depicted in the model summary. Apart from this, Smarten also makes the understanding upon the regression coefficient values and the significance associated with each attribute in terms of the p values and attempts to explain this jargon in easy to understand language.

7.3.     Apply the model:

Using apply feature, the users can select/enter static values of each variable on pressing the Apply button Smarten let us know the outcome (here it will be the amount of charges). This is specially used when we have predefined values of all the other variables and keen to know the target class accordingly.

 

smarten-insight-apply-model-section

Smarten Insight – Apply Model Section

 

As the outcome of the apply feature, users can get to perceive the cost of medication when entered values are taken into consideration. Besides this, Smarten also illustrates the accuracy in terms of R square to cross validate our results.

 

smarten-insight-result-of-apply-model

Smarten Insight – Result of Apply Model

 

7.4.     Simulation:

Simulation modelling feature assists in analyzing the model prototype to predict its performance in real world scenarios. It helps the users understand under what conditions the outcome will withstand a particular outcome and make predictions in real time. Say for instance, the user wants to make the settings of all the predictors in real time and make predictions, then the simulation feature can be used. We will find the icon for simulation on top right corner of the screen as follows:

 

smarten-insight-simulation-section
32456

Smarten Insight – Simulation Section

As it’s evident from the screen that there is a default setting made for each predictor unlike the Apply feature, and also the outcome when those default parameters are selected.We can change the parameters and obtain the real time medical cost accordingly. We also obtain the line fit plot of the target with selected predicate (we can single out the predictor of our choice from the drop-down menu). The red bubble in the plot indicates our predicted outcome value keeping in consideration the selected parameters while carrying out the simulation.

8.  Ready, Set, Go!

Now that we have a made a step-by-step approach in understanding the flow of making regression analysis of the Medical Cost Prediction use-case using Smarten using a sample data and model, we are all set to make similar process in tackling any other sample data with provided predictors and targets as per business requirements and create corresponding model to analyze the outcomes as well as apply this model to provided patient’s data to estimate medication cost variation with respective affecting parameters!

Note: This article is based on Smarten Version 5.0. This may or may not be relevant to the Smarten version you may be using.

Original Post : Medical Cost Prediction Using Smarten Assisted Predictive Modelling!

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Embrace The Citizen Data Scientist Workflow! https://www.elegantjbi.com/blog/2021/02/11/embrace-citizen-data-scientist-workflow/ https://www.elegantjbi.com/blog/2021/02/11/embrace-citizen-data-scientist-workflow/#comments Thu, 11 Feb 2021 07:55:53 +0000 https://www.elegantjbi.com/blog/?p=7014 Continued]]> citizen-data-scientist-workflow-and-process-foundationThe Journey To Citizen Data Scientist Must Include New Workflow And Processes!

Gartner has rightfully predicted the rise of Citizen Data Scientists. Coming from the ranks of business users, Citizen Data Scientists continue to function in their primary roles and fulfill their responsibilities as they take on the tasks of aligning with Digital Transformation initiatives and improving data literacy. Their new role does require that they embrace some new concepts and become comfortable with analytics and with making decisions using augmented analytical tools.

As the Citizen Data Scientist takes on the new role, there are other considerations that will ensure their success, not the least of which is the new workflow and new processes in which they will engage in order to champion the Citizen Data Scientist approach and bring these concepts into their day-to-day responsibilities.

The steps in the workflow include:

  • Identifying problems and opportunities
  • Finding and preparing data for analysis to explore problems and opportunities
  • Understanding data and patterns and trends using Smart Data Visualization, Predictive Analytics and Self-Serve Data Prep
  • Build use cases and models to support the business and individual roles and responsibilities
  • Collaborate with other business users to share models and make recommendations and decisions
  • Champion the use of augmented analytics and support other business users as they adopt analytics in decision-making

Citizen Data Scientists should also expect that the organization will include the use of augmented analytics and the understanding of the analytical techniques and tools as an element of team member evaluation and should leverage augmented analytics and reporting when making recommendations to management and other team members. These measurable results will add credibility and fact-based consideration to decisions and improve the value of the business user as an asset to the organization.

Contact Us to today or Click Here to begin your Citizen Data Scientist journey.

Original Post : Citizen Data Scientist Workflow and Process Foundation!

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Handling CORS Issues With API In Google Chrome! https://www.elegantjbi.com/blog/2021/02/10/handling-cors-issues-with-api-in-google-chrome https://www.elegantjbi.com/blog/2021/02/10/handling-cors-issues-with-api-in-google-chrome#comments Wed, 10 Feb 2021 13:36:39 +0000 https://www.elegantjbi.com/blog/?p=6973 Continued]]> handling-cors-issues-with-api-in-google-chromeIssue: 
While opening embedded Smarten objects through API in any web application in the latest version of chrome (chrome 84.0.4147), it shows the error as shown in the below screenshot.

issue-while-opening-embedded-smarten-objects-through-api

 

Reason:

This is purely a CORS (Cross-Origin Resource Sharing) error that happens when Smarten is hosted at a different IP than your website or web application. The latest version of chrome(chrome 84.0.4147) blocks the same.

The CORS mechanism supports secure cross-origin requests and data transfers between browsers and servers. But CORS is subject to change in Chrome version as in the latest version, the web security roles have been changed as part of security and those must handled properly.

 

Solution:

Proper IP tunneling should be done to make this work. This has to be done differently for the applications developed in PHP, .Net, etc.

1. Application in PHP / Java

Apache web server need to be installed in the host for handling this for the sites developed in PHP / Java. After this, proxy pass setting through apache should be done. The below mentioned code has to be added in your ‘VirtualHost’ file for the same.

<VirtualHost *:80>

ServerNamelocalhost

ProxyPreserveHost On

ProxyPass /smarten http://localhost:8080/smarten(Mention Smarten URL here)

ProxyPassReverse /smarten http://locahost:8080/smarten (Mention Smarten URL here)

RewriteEngine On

ErrorLog ${APACHE_LOG_DIR}/error.log

CustomLog ${APACHE_LOG_DIR}/access.log combined

</VirtualHost>

 

2. Application in .Net or hosted IIS web server

If the application is developed in .Net or they are hosted in IIS web server, a connector extension (AJP13) need to be installed to handle this situation.

a. Download the latest version of AJP13 from https://github.com/Bilal-S/iis2tomcat/releases/tag/1.0.42

b. Extract the .zip-file to a temp folder (AJP13_v1042.zip)

 

application-in-dotnet-or-hosted-iis-web-server

 

EXTRACTED FILES

c. Run “dotnetfx35setup.exe” if .NET 3.5 has not been installed on the server.

d. Execute “Connector_Setup.exe”.

  • Specify the server and port of Apache server during the setup process and click Next.

 

server-and-port-details

 

SERVER AND PORT DETAILS

  • Select all or specific site option as a next step.If multiple sites are hosted in IIS and if smarten has been integrated to those sites, choose the second option – “Let me choose specific sites …” and select the specific sites. Else choose the first option – “All IIS Sites …”.

 

global-or-specific-site-option

 

 GLOBAL OR SPECIFIC SITE OPTION

 

  • In Environment Configuration, select the option “Enable IIS Sub Configuration”.

 

environment-configuration

 

ENVIRONMENT CONFIGURATION

  • The setup is now ready to Install, Click on Install and Finish then after.

 

final-step-of-installer

 

FINAL STEP OF INSTALLER

 

e. The installer copies all the binaries and configuration files to “c:\\Windows”.

 

installer-copies-all-the-binaries-and-configuration-files

 

f. After this, modify the content of “BonCodeAJP13.settings” as below.

<Settings>

                <Port>8009</Port>

                <Server>localhost</Server>   

                <MaxConnections>200</MaxConnections>

                <LogLevel>1</LogLevel>  

                <FlushThreshold>0</FlushThreshold>

                <EnableRemoteAdmin>False</EnableRemoteAdmin>

                <LogDir>E:\LogFiles\APPLogs\BoncodeAJP</LogDir>

                <EnableHTTPStatusCodes>True</EnableHTTPStatusCodes>

</Settings>

Note: Make sure the IIS Application Pool user has access rights to ‘LogDir’ folder.

g. A folder named “bin” will be created in the root of your website. Copy the below two files to the bin folder.

  • C:\Windows\BonCodeAJP13.dll
  • C:\Windows\BonCodeIIS.dll

h. After this, specify the folders that have to be forwarded to the wildfly. For Smarten, create a new folder in the root of the website named “smarten”.

i. Copy the “bin” folder under “smarten” folder.

j. Add handler mapping in IIS after this. Go to the subfolder named “smarten” and add a new managed handler as below.

 

handler-mappings

 

HANDLER MAPPINGS

k. Specify the request path as “*”, Select type as “BonCodeIIS…” and Name as “BonCodeAll”.

 

managed-handler-settings

 

MANAGED HANDLER SETTINGS

 

l. Open the standalone.xml configuration file, and add the below mentioned parameter under the http-listener parameter.

<ajp-listener name=”ajp” socket-binding=”ajp”/>

 

mentioned-parameter-under-the-http-listener-parameter

 

m. Reset IIS after this. Run “iisreset” to reload the setting file.

After making the above changes as per the application hosting options, whenever the host sends a request to Apache (where Smarten is hosted), proxy passes the request to the tunnel and then request will be handled. Host IP and Smarten IP will be considered as the same, and this issue will not occur.

Note: This article is based on Smarten version 5.0. This may or may not be relevant to the Smarten version you may be using.

Original Post : Handling CORS issues with API in Google Chrome!

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Customer Churn Model Using Smarten Assisted Predictive Modelling! https://www.elegantjbi.com/blog/2021/02/09/customer-churn-model-using-smarten-assisted-predictive-modelling https://www.elegantjbi.com/blog/2021/02/09/customer-churn-model-using-smarten-assisted-predictive-modelling#comments Tue, 09 Feb 2021 04:37:00 +0000 https://www.elegantjbi.com/blog/?p=6913 Continued]]> customer-churn-model-using-smarten-assisted-predictive-modelling1. About the Use Case :

Customer churn alternatively referred to as customer attrition indicates that the customer (or user or subscriber etc.)  cease to do business with the company or service provider. Higher value of churn suggests that the customer is no longer willing to purchase goods or services from your business. The ability to predict that a particular customer is at a high risk of churning, while there is still time to do something about it, represents a huge additional potential revenue source for any business. Furthermore, it is always more difficult and expensive to acquire a new customer than it is to retain a current paying customer. Being a critical metric in hindering business growth, companies must be aware about its customer churn rate in order to monitor revenue success as well as determine strategies for customer retention.

2. Data has a better idea!

Now that we have a good understanding of what customer churn use case is, the next obvious step is to analyse it. Any kind of analysis initiates by looking upon the data. Keeping a note that we already have a predefined dataset uploaded to Smarten, let’s get started slowly but surely into how to open a loaded dataset in Smarten and make analysis.

Steps to Open a loaded dataset in Smarten :

  1. Go to Open -> Data in top right dropdown in Smarten
  2. Search for the dataset to analyse
  3. Examine the dataset

On opening the dataset, you will be able to view the attributes(columns) affecting the use case and also be able to draw some superficial insights by pondering upon the dataset. Your dataset will look as follows:

 

customer-churn-binary-classification-dataset

 

Perform Elementary Data Analysis from Dataset:

From the dataset, we can see that our dataset contains many attributes/features upon which our target variable (i.e. churn) depends. Churn is evidently splitted into two categories (i.e. yes and no) based upon the depending features. The following are the features which our dataset contains:

  • CustomerID
  • Partner
  • PhoneService
  • OnlineSecurity
  • TechSupport
  • Contract
  • MonthlytCharges
  • SeniorCitizen
  • Tenure
  • InternetService

 

  • DeviceProtection
  • StreamingMovies
  • PaymentMethod
  • Gender
  • Dependents
  • MultipleLines
  • OnlineBackup
  • StreamingTV
  • PaperlessBilling
  • TotalCharges

In layman terms, we can depict that the customer churn rate has high dependency upon the Monthly Charges, Contract, Tenure, Total Charges and may be on dependents. But this calculation varies from company to company and the type of data we have.

For validating our assumptions as well as to obtain extensive insights from the data, Smarten provides a straightforward approach to understand the data better and to get the required outcome for the use case.

Now it’s time to gear up with some amazing data analytics using Smarten !!

3. The goal is to turn Data into Information and Information into Insight !

Smarten provides us a feature of Smarten Assisted Predictive Modelling which reduces the time and skills required to produce accurate, clear results, quickly using machine learning. With Smarten Insights, the user will simply have to select the dataset to be analyzed and the broad category of the algorithm to be applied. That’s it!. The system will interpret the dataset, select important columns of data, analyze its type and variety and other parameters and then use intelligent machine learning to automatically apply the best algorithm in the selected algorithm technique in order to provide data insights.

Let’s gradually familiarize with Smarten Insights!

  1. Create a fresh   New Smarten Insight :

            GotoNew ->SmartenInsight Menu in the dropdown provided in the top right corner of the Smarten Dashboard.

 

customer-churn-binary-classification-dataset

 

2. What do you want to do? Choose  Algorithm Technique Accordingly:

The following window opens on selecting Smarten Insight:

 

what-do-you-want-to-do-choose-algorithm-technique-accordingly

 

Smarten has a provision wherein users can select the algorithm technique best sufficing their use case and provide quality results for the chosen technique. In order to select the best category of algorithm, users need to have some basic data literacy.

We need to choose the best algorithm technique from the following list:

  • Forecasting
  • Classification
  • Clustering
  • Correlation
  • Regression
  • Hypothesis Testing
  • Frequent Pattern Mining
  • Descriptive Statistics

Let’s put our thinking caps on and try to recognize the best suit algorithm technique for Customer Churn dataset !

The high level goal is pretty clear that we are keen to predict whether the given customer will churn provided other parameters. So we are basically interested in splitting (or categorizing) our outcome based upon whether the customer will churn (yes) or not (no). This suggests that our problem can be prototyped as a classification task because our outcome domain is finite (i.e. outcome has only two values, churn and non-churn).

Acknowledging this study, we can carry forward with our process of getting insights using Smarten by selecting the Classification model from the list of other algorithms. Smarten also has a provision to provide description against each algorithm technique along with a basic example to enhance data literacy and assist us in algorithm selection.

 

3. Select the data for Performing Classification upon:

  • Search for the dataset (In our case it’s named Customer Churn-Binary Classification-Dataset) from the search bar.
  • Select the radio button against the dataset of interest.
  • Click on the next button at the bottom to advance the procedure.

 

select-the-data-for-performing-classification-upon

 

4. Wait till Smarten is predicting the targets (outcome variable) and predictors (dependent variable) for us: 

 

wait-till-smarten-is-predicting-the-targets-outcome-variable-and-predictors-dependent-variable-for

 

5. Select the target and predictors based upon your choice:

After Smarten identifies the target and predictor columns as showcased below, we can change the settings as per our requirements.

 

select-the-target-and-predictors-based-upon-your-choice

 

5.1Target selection:

We would want Churn to be our target variable so we can select that from the dropdown indicating Select the target variable containing predefined classes or groups’.

 

target-selection

 

5.2 Identify recommended predictors for selected Target:

Smarten has a feature wherein it selects the significant predictors for the chosen target using machine learning techniques. If you want to select the significant predictors by Smarten mechanism, there is a pop up recommending us to use them as follows:

 

identify-recommended-predictors-for-selected-target

 

After selecting Yes option we have to wait till Smarten automatically obtains the significant predictors.

5.3 Perform changes in Predictors (Optional):

Now that Smarten has well equipped us well with the predictors, we still have a choice to add or remove the predictor selections based upon our interest.

 

perform-changes-in-predictors-optional

 

The right-side table of Predictors represents those which significantly affect the target (here Churn) and the left side contains the remaining predictors. The predictors on the right side table will be feeded to the machine learning model to generate outcomes. So we can make alteration in the right side list of predictors using the + and – symbols before processing further.

5.4 Run model on full or sample data option:

Sometimes, perhaps in most cases, we have to deal with huge data. Our machine learning model may take more time to run and provide us with the required outcome. In such a scenario Smarten provides us with an option of using sampled data wherein it smartly makes a sample of data resembling the full data which may give us the same result set as we would have obtained in the full data.

But in our current scenario, we can use the full data to feed to the model by selecting the radio button as follows:

 

run-model-on-full-or-sample-data-option

 

5.5 Want to run classification on entire dataset option:

Often users want to make analysis upon some filtered data. Say for instance what if we were to find the customer churn rate only for females? In such a scenario, we need to select our gender to be female, keeping all the predictors as they are. For such filtering of data Smarten provides us with an option to run classification on entire dataset or filtered dataset as follows:

 

want-to-run-classification-on-entire-dataset-option

 

If we have no such filtering condition in mind, we can carry further with yes option.

After well performing the above effortless process, finally click on the next button which will let Smarten designate the best fit classification algorithm using machine learning tactics for our dataset.

 

classification-algorithm-using-machine-learning-tactics-for-our-dataset

 

4. So that was the recipe, Now let’s taste it !

 On clicking the next button, Smarten leads us to the results and interpretations for our dataset without investing much of our efforts!

 

so-that-was-the-recipe-now-lets-taste-it

 

smarten-leads-us-to-the-results-and-interpretations-for-our-dataset

 

In a broader sense, Classification is the root algorithm technique but there are numerous algorithms which come under classification category. Smarten automatically works upon a list of widely used classification algorithms and designates the best choice model for our dataset. In the above case, we can see that Smarten has suggested to us the Classification Tree to be the best choice algorithm for our data selection.

Smarten not only provides its users with easy to grasp visualizations but also provides us with a handy straightforward interpretation in layman language for better understanding upon the outcome so that its users can make business decisions effectively.

5. Every Choice we make, has an end result!

Apart from the best fit algorithm automatically opted for by Smarten, the user also has a privilege to play around with other listed algorithms and review results produced by them for further analysis. Users can test the accuracy and other metrics of varied algorithms and make a comparative review upon all as well as make better explorations.

To make analysis and draw conclusions upon algorithms apart from the best fit one, just select the algorithm of interest on the left side menu list as follows (say for instance Support Vector Machine selection):

Note: Smarten makes sure that it’s users are well aware that the default selection is the best choice if the users want to save time upon that grounds. But if a user wants to explore other algorithms, they can select the yes option and proceed.

 

smarten-makes-sure-that-its-users-are-well-aware-that-the-default-selection

 

On selection, we will be driven to all the results, visualizations and interpretation of the use case as illustrated by the Support Vector Machine Algorithm.

 

support-vector-machine-algorithm

 

It’s evident from the first gaze that SVM is not the best choice for our data owing to its lowered accuracy score compared to previously chosen Classification Tree algorithm by Smarten.

One can perform almost identical operations like lookup the interpretation, model summary etc. in all the algorithms and take the beneficial insights.

Also, it’s not always a scenario wherein any algorithm can be applicable to any dataset. There are some regulations for every machine learning algorithm which the data must satisfy in order to perform analysis with. Smarten has provided apt pop-ups if our data is not sustainable for the algorithm selection. For illustration, K-nearest neighbor algorithm is only applicable for numeric variables and with outcome category to be more than two (but we only have two categories in this case i.e. churn yes and churn no):

 

k-nearest-neighbor-algorithm-is-only-applicable-for-numeric-variables-and-with-outcome-category-to

 

6. Simpler the Insight, more profound the Conclusion !

Out of many features provided, Smarten insight has 3 key sections which will assist us in better interpretation of our data. Them being :

A. Interpretation

B. Model Summary

C. Apply

D. Simulation

 

A. Interpretation :

The interpretation section provides the users an in-depth insight from the dataset in easy to understand language.

 

the-interpretation-section-provides-the-users-an-in-depth-insight-from-the-dataset-in-easy-to-unde

 

For current scenario, the interpretation provides us with the entire profile of predicted classes based upon the selected predictors. Furthermore, it provides us the effect of each and every attribute on the target (i.e. churn) both qualitatively (using tabular representations) and quantitatively (with average measure values). Having a look upon the interpretation section would help us acknowledge the key predictors as well as impact of underlying classes if any of the predictors on the target and the average measure values for our targeted outcome.

B. Model Summary :

The model summary section contains a more technical summary of the data. This is specially put to Smarten insight to provoke data Literacy. For instance, for carrying out classification of the model, data scientists make conclusions by making interpretations from the obtained confusion matrix, accuracy score and the error rate. Smarten provides us even this feature to validate the technical aspect with the generalized interpretations.

 

model-summary

 

C. Apply the model :

Using apply feature, the users can select/enter static values of each variable on pressing the Apply button Smarten let us know the outcome (here churn yes or no). This is specially used when we have predefined values of all the other variables and keen to know the target class accordingly.

 

model-summary

 

C. Apply the model :

Using apply feature, the users can select/enter static values of each variable on pressing the Apply button Smarten let us know the outcome (here churn yes or no). This is specially used when we have predefined values of all the other variables and keen to know the target class accordingly.

 

apply-the-model

 

As the outcome of the apply feature, users can get to know the residing category (in this case churn yea or churn no) when the entered values are taken into consideration. Apart from this, we also come to the accuracy percentage with which we can assure our result.

 

users-can-get-to-know-the-residing-category

 

D. Simulation :

Simulation modelling feature assists in analyzing the model prototype to predict its performance in real world scenarios. It helps the users understand under what conditions the outcome will withstand a particular outcome and make predictions in real time.

Say for instance, the user wants to make the settings of all the predictors in real time and make predictions, then the simulation feature can be used. We will find the icon for simulation on top right corner of the screen as follows:

 

simulation

 

On clicking the simulation button, we will be landed to a screen for making our simulations as follows:

 

screen-for-making-our-simulations

 

As it’s evident from the screen that there is a default setting made for each predictor unlike the Apply feature, and also the outcome when those default parameters are selected. One can change the parameters from the simulation and obtain the resulting category accordingly along with the most influencing combination leading to that particular category selection.

7. Ready, Set, Go!

 Now that we have a made a step-by-step approach in understanding the flow of making analysis of the Customer Churn use-case using Smarten using a sample data and model, we are all set to make similar process in tackling any other sample data with provided predictors and targets as per business requirements and create corresponding model to analyze the outcomes as well as apply this model to provided customers data to understand who is at risk to move away from you!

Note: This article is based on Smarten Version 5.0. This may or may not be relevant to the Smarten version you may be using.

Original Post : Customer Churn Model Using Smarten Assisted Predictive Modelling!

 

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NLP Makes Every Business User More Comfortable With Analytics! https://www.elegantjbi.com/blog/2021/02/04/nlp-business-user-comfortable-analytics/ https://www.elegantjbi.com/blog/2021/02/04/nlp-business-user-comfortable-analytics/#comments Thu, 04 Feb 2021 07:11:14 +0000 https://www.elegantjbi.com/blog/?p=6888 Continued]]> business-users-will-adopt-an-nlp-solution-for-analyticsNatural Language Processing Defeats User Trepidation About Augmented Analytics!

Your business users probably fight you on improving data literacy and on implementing digital transformation. Many business users have a fear of analytics and envision having to become a business analyst or a data scientist in order to fulfill the vision of the business and its Citizen Data Scientist goals.

When presenting these concepts to business users, it is important to make them comfortable with the ideas and the concepts. When a business undertakes a program like this, it can build confidence by demonstrating tools and techniques to business users and showing them how easy it is to leverage augmented analytical tools. Explain how new technologies like natural language processing (NLP) and machine learning can take the worry out of the analytical process. These new solutions do much of the work for the business user and allow them to reap the benefits of the analytics in their day-to-day work without having to learn sophisticated techniques.

Providing a real-time demonstration of common use case applications for their business is a good way to show business users how easy it is to get answers to question they ask every day. Whether a sales manager is trying to find trends and patterns to plan for the coming year, or a production manager wishes to develop a maintenance schedule that will mitigate downtime and address equipment issues before they become problems, there are many ways you can demonstrate these results. Show loan managers how to predict which customer profile will default on loans. Demonstrate effective techniques to fitness trainers to reveal which programs and regimens have the most success for a client with a particular demographic, body type etc.

When business users can ask a question, using normal language and get a response that they can clearly understand, it will take a lot of the hesitation and trepidation out of the process and they are more likely to adopt the tools and use them in a way that will fulfill your goals and objectives.

If you want to discover the benefits of our Clickless Analytics approach and Natural Language Processing (NLP), Contact Us today.

Original Post : Business Users WILL Adopt an NLP Solution for Analytics!

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Smarten Support Portal Updates – January – 2021! https://www.elegantjbi.com/blog/2021/02/03/smarten-support-portal-updates-january-2021/ https://www.elegantjbi.com/blog/2021/02/03/smarten-support-portal-updates-january-2021/#comments Wed, 03 Feb 2021 07:27:52 +0000 https://www.elegantjbi.com/blog/?p=6881 Continued]]> smarten-support-portal-updates-january-2021We invite you to explore our latest knowledgebase articles and to join the Smarten user community on Smarten Support Portal.

If you have not registered yet, Click Here to obtain your login credentials.

 

 

 

 

 

 

Knowledgebase Articles

  1. Assisted Predictive Modelling Usecases: Customer Churn model using Smarten Assisted Predictive Modelling
  2. SSDP: Improving performance for fetching data from the database
  3. Embedded / API Integration: Handling CORS issues with API in Google Chrome
  4. General: Handling UTF Encoding for Metadata database

Forum Topics

  1. SSDP: How can I split columns using Regex:
  2. Dataset: While rebuilding a cube with comments in the cube query is throwing the below error of ‘Incorrect syntax’. Whereas my other cubes with comments in the query are getting rebuilt properly.
  3. General: How to add SSL certificate to the Smarten BI Portal?

Usecases

  1. SSDP: Split the dataset columns using Regex
  2. General: Find out the frequency of repetition of dimension value combinations – e.g. frequency of combination of bread and butter from sales transactions

If you don’t find what you need in the Support Portal, we hope you will contact us with your questions, comments or suggestions. We are here to help and to support your business goals and success!

URL: Smarten Customer and Partner Community
Email: support@Smarten.com

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Wake Up India! Our Educational System Is NOT As Glorious As You Think! https://www.elegantjbi.com/blog/2021/02/03/wake-india-educational-system-glorious-think/ https://www.elegantjbi.com/blog/2021/02/03/wake-india-educational-system-glorious-think/#comments Wed, 03 Feb 2021 07:19:44 +0000 https://www.elegantjbi.com/blog/?p=6876 Continued]]> wake-up-india-our-educational-system-is-not-as-glorious-as-you-thinkA recent India Times Article revealed that students in India rank second to last (ranking only above Kyrgyzstan) when tested against a global student population. These results are jarring but many Indian citizens may believe they could not be true. After all, we have proudly proclaimed our elevated status for decades. But, test results don’t lie!

So, how is it that we could have been so wrong about our educational system and the caliber of students it produces? In truth, the misperception is a result of numbers. It is true that India is considered a powerhouse of engineering and software and other skills around the world. India’s citizens hold visas and work around the world in technology businesses with great success.

But, the idea that our educational system produces superior students and candidates should not lead us to the conclusion that all of our students are successful. Those who excel and succeed are a small percentage of our huge population of more than 1.3 billion people.

If one looks only at an absolute total count of successful students, as opposed to a percentage of our population, the numbers do seem large! With such a large population, absolute numbers always look good compared to countries having much lesser population than India, but ratio in percentage to total population, for ratios such as number of graduates, number of engineers, number of people employed in IT and engineering, number of research papers published out of total population of 1.3 billion is not impressive.

You can read the details of this global student ranking and India’s comparative results here: India Times Education Article

If we are to improve our global competitive position and the opportunities for and potential of India’s students and young people, we need a comprehensive educational reawakening. That reawakening must include a review of our curriculum, public funding, private sector participation in the educational system, and pay scales and support for our teachers and professors. If we want to rise in the global ranks, we must take on these issues and resolve them.

The time has come to face the truth. We can no longer afford to promote misconceptions. Our students, our businesses and our country will benefit from a reimagining of our educational systems.

Good enough is NOT good enough!

Original Post : Wake Up India! Our Educational System is NOT as Glorious As You Think!

 

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Your eCommerce Pros Can Easily Use Augmented Analytics! https://www.elegantjbi.com/blog/2021/02/02/ecommerce-pros-easily-augmented-analytics/ https://www.elegantjbi.com/blog/2021/02/02/ecommerce-pros-easily-augmented-analytics/#comments Tue, 02 Feb 2021 07:30:43 +0000 https://www.elegantjbi.com/blog/?p=6847 Continued]]> ecommerce-analytics-for-shopify-is-accessible-to-all-user-rolesShopify eCommerce Analytics is Important for all eCommerce Pros!

eCommerce and online shopping businesses employ professionals in many roles including sales managers, marketing professionals, social media experts, product and service professionals and others. Together, every role in a business is designed to create a team that will ensure business success and, with eCommerce exploding, it is easy to think that the right people can get the job done.

But, there is another component to success, especially today. Given the competitive environment and market with thousands of eCommerce sites and apps, it is imperative that the business have a measurable, fact-based view of results and enable its team members (no matter their role) to access tools and solutions that will give them the information they need to succeed, to improve results, to come up with new ideas for products and services, to target customers appropriately, to bundle products, to shift pricing and marketing approaches and more!

But, eCommerce business users do not have the time or the inclination to adopt new technology and software. They are often overwhelmed with tasks and responsibilities so, making it easier for them to understand and analyze results is crucial. An augmented analytics solution that integrates with an eCommerce solution like Shopify can provide pre-built templates, reports, KPIs and in-depth analysis of customer lifetime value, customer cohorts, trends, sales results and other important aspects of eCommerce business.

It is easy to implement analytical capability using a solution that Integrates Shopify With Augmented Analytics, and provide your users and business a meaningful way to compete and succeed.

Contact Us to today to find out how SmartenApps for Shopify can help you achieve your goals.

Original Post : eCommerce Analytics for Shopify is Accessible to All User Roles!

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Citizen Data Scientists Need Support to Succeed! https://www.elegantjbi.com/blog/2021/02/01/citizen-data-scientists-support-succeed/ https://www.elegantjbi.com/blog/2021/02/01/citizen-data-scientists-support-succeed/#comments Mon, 01 Feb 2021 07:14:51 +0000 https://www.elegantjbi.com/blog/?p=6840 Continued]]> citizen-data-scientists-cant-do-it-aloneYou Can’t Wave a Wand and Change a Business User into a Citizen Data Scientist

Most business executives and managers have, by now, read the Gartner predictions wherein the average business user will be (or already has been) nominated to become a Citizen Data Scientist. Gartner defines a Citizen Data Scientist as “a person who creates or generates models that leverage Predictive or Prescriptive Analytics but whose primary job function is outside of the field of statistics and analytics.” It is true that a Citizen Data Scientist is NOT a Data Scientist, but some businesses incorrectly expect the same results and anticipate being able to reduce the need for business analysts or data scientists as these new roles are assumed.

Here is the simple truth: Citizen Data Scientists are business users with average technical skills who are expected to adopt and champion the use of analytics to make fact-based decisions and who will support the advancement of data literacy and digital transformation. But, they are NOT expected to be analysts or data scientists.

Still, the average business user will need support and a bit of training in order to embrace the new role and succeed in that role. That doesn’t mean they have to go to school for weeks or months. It means they need a foundation. Training to help them understand their new role, how to collaborate with others, how to leverage augmented analytics and analytical techniques in their day-to-day work – that is an imperative if you want your initiative to succeed.

Don’t leave your newly minted Citizen Data Scientists to flounder. Look for training and course work that they can complete quickly online or in a day-long workshop, so business users can get started with confidence and an understanding of what is expected of them.

If you are ready to leverage the benefits of the Citizen Data Scientist approach, you can find training for prospects here: Citizen Data Scientist Workshop, In-Person And Online.

Original Post : Citizen Data Scientists Can’t Do it Alone!

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Can Smart Data Visualization Help My Business Users? https://www.elegantjbi.com/blog/2021/01/28/smart-data-visualization-business-users/ https://www.elegantjbi.com/blog/2021/01/28/smart-data-visualization-business-users/#comments Thu, 28 Jan 2021 06:49:13 +0000 https://www.elegantjbi.com/blog/?p=6832 Continued]]> smart-data-visualisation-software-makes-every-job-easierWithout Smart Data Visualization Tools, Business Users Will Not Embrace Analytics!

If you want your business users to have access to analytics tools that are easy enough for the average user to understand, you will want to select augmented analytics that are easy to use with guidance and recommendations to help the user achieve the results they want AND help the user understand those results once they finish the analysis.

Data visualization can be difficult to understand but the benefits of advanced analytics are readily apparent when a user can leverage smart data visualization tools. These tools provide step-by-step guided recommendations so users can choose the most appropriate visualization techniques based on data type, volume, dimensions, patterns and nature of data.

Business users can interact with analytics software to build a view that tells a story and makes results abundantly clear. Team members can use this guided visualization technique to produce clear reports and visuals for presentation and staff meetings and to share with other users to support decisions. They can identify relationships, patterns, trends and opportunities and explore detailed data with simple drill down and drill through tools to gain insight into data from all sources.

If your business users are frustrated by complex, confusing analytics, reporting and visualization tools, they will not embrace analytics as part of their role and you will lose the value of a shared, collaborative environment where all team members are comfortable with augmented analytics solutions and tools and can use those tools to develop strategies, make recommendations and discuss issues and opportunities.

If you want to explore the Benefits of Smart Data Visualisation SoftwareContact Us today.

Original Post : Smart Data Visualisation Software Makes Every Job Easier!

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Smarten Support Portal Updates – December – 2020! https://www.elegantjbi.com/blog/2021/01/27/smarten-support-portal-updates-december-2020/ https://www.elegantjbi.com/blog/2021/01/27/smarten-support-portal-updates-december-2020/#comments Wed, 27 Jan 2021 07:22:20 +0000 https://www.elegantjbi.com/blog/?p=6822 Continued]]> smarten-support-portal-updates-december-2020We invite you to explore our latest knowledgebase articles and to join the Smarten user community on Smarten Support Portal.

If you have not registered yet, Click Here to obtain your login credentials.

 

 

 

 

 

 

Knowledgebase Articles

  1. General: Configuring SSL Certificate for Smarten
  2. General: Handling UTF Encoding for Metadata database

Forum Topics

  1. General: How to add SSL certificate to the Smarten BI Portal?
  2. General: Smarten meta-data such as object title, object properties, etc. with special characters are not displayed properly in Smarten. How to make them work?

Usecases

  1. General: How to derive the MTD achievement based on monthly target and daily sales data on various dimensions

If you don’t find what you need in the Support Portal, we hope you will contact us with your questions, comments or suggestions. We are here to help and to support your business goals and success!

URL: Smarten Customer and Partner Community
Email: support@Smarten.com

 

Original Post : Smarten Support Portal Updates – December – 2020!

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Compete at a Higher Level with Self-Serve BI Tools! https://www.elegantjbi.com/blog/2021/01/21/compete-higher-level-self-serve-bi-tools/ https://www.elegantjbi.com/blog/2021/01/21/compete-higher-level-self-serve-bi-tools/#comments Thu, 21 Jan 2021 08:00:44 +0000 https://www.elegantjbi.com/blog/?p=6808 Continued]]> democratize-bi-tools-and-empower-business-usersPut the ‘I’ in Business Intelligence with Bi Democratization!

If you think Business Intelligence solutions are just for business analysts, data scientists or IT professionals, you are missing the real intent of business intelligence. Business Intelligence is, by its nature, supposed to inform the business and make it easier to make the right decisions and drive your business forward but if 90% of your users have no access to real, clear information, you are missing most of the advantages and tying up your team in red tape, delayed decisions and endless requests for information. You are shackling your analysts, data scientists and IT team by burying them under those requests for information and using precious time they might be spending on strategic and crucial initiatives.

When you democratize the use of BI tools, you are expanding the reach of critical data and empowering every team member with the information they need to make decisions, share, and collaborate. Whether your users are in Sales, Marketing, Production, Inventory, Finance, HR, Help Desk, Purchasing or any other function, the access to data that is integrated from systems across the enterprise, can provide a complete and clear picture and ensure fact-driven decisions that will benefit the organization.

Today’s enterprise culture must encourage accountability and empowerment and leverage all resources and assets to remain competitive and to better serve customers and retain valuable team members. Democratizing business intelligence and enabling a data literate culture will ensure your success and the success of your employees.

To democratize data and improve data literacy, you’ll want to choose business intelligence tools that are designed for business users with BI tools that are easy to use and intuitive. Ready-to-Use Business Intelligence

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What Is Assisted Predictive Modeling And Is It Suitable For Business Users? https://www.elegantjbi.com/blog/2021/01/20/assisted-predictive-modeling-suitable-business-users/ https://www.elegantjbi.com/blog/2021/01/20/assisted-predictive-modeling-suitable-business-users/#comments Wed, 20 Jan 2021 07:41:50 +0000 https://www.elegantjbi.com/blog/?p=6794 Continued]]> What-is-Assisted-Predictive-Modeling-and-is-it-Suitable-for-Business-UsersWhat is Assisted Predictive Modeling?

Assistive Predictive Modeling incorporates complex, sophisticated analytical and forecasting techniques in a self-serve environment where business users can employ tools to guide them through recommended techniques and report formats and ensure that the methods and reports they choose are appropriate to the type of data and information they need.

Users select the data they want to analyze and use the self-serve tools to point them in a clear direction, so they can illustrate patterns and trends and use auto-suggest and recommended analytical techniques to determine the best approach. These tools take the guesswork out of forecasting and business results predictions and make it possible for business users to produce clear, accurate information without the assistance of IT or data scientists.

Is Assisted Predictive Modeling Suitable for Business Users?

Gartner Report (ID G00326012), entitled ‘Augmented Analytics is the Future of Data and Analytics’, Gartner analysts predict that ‘ By 2020, augmented analytics — a paradigm that includes natural-language query and narration, augmented data preparation, automated advanced analytics and visual-based data discovery capabilities — will be a dominant driver of new purchases of business intelligence, analytics and data science and machine learning platforms and of embedded analytics.’

The reason for this analytics evolution is simple. Every business is operating in a rapidly changing competitive environment and market. Business users must have the tools they need to analyze data, draw conclusions, predict results and help the organization achieve its goals. No enterprise has the time or the luxury to wait for IT or professional analysts or data scientists to produce reports. There is too much information and there are too many data sources to make these old analytical and forecasting paradigms work today. What every organization needs is a clear guide to results – one that every business user can leverage without expensive, time-consuming training or special skills.

With the right combination of sophisticated tools and easy-to-use navigation, drag and drop flexibility and personalized dashboard capabilities, every one of your users can have the power and flexibility of predictive analytics, so they can plan and make decisions, share data and analyze like a pro!

The right Self-Serve Advanced Data Discovery and predictive modeling solution is easy to implement, easy to personalize and easy to use. It incorporates complex, sophisticated algorithms and analytical methods into the back end and enables intuitive, integrated, interactive dashboards on the front end, so business users can predict future values with time series forecasting, and use simple linear, least square and multiple linear regressions for causation and prediction, as well as Bayes classification, associative, decision tree and K-Nearest Neighbour techniques for classification and prediction. These methods are applied to produce reports and clearly illustrate results, taking the guesswork and complication out of the process of planning and forecasting.

Assisted Predictive Modeling allows for planning and forecasting at any point in time, and enables business users and enterprises to test assumptions and theories in a risk-free environment so that the planning process is no longer restricted to an annual or quarterly process but rather is dynamic, active and meaningful.

Original Post : What is Assisted Predictive Modeling and is it Suitable for Business Users?

 

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Smarten Support Portal Updates – November – 2020! https://www.elegantjbi.com/blog/2021/01/20/smarten-support-portal-updates-november-2020/ https://www.elegantjbi.com/blog/2021/01/20/smarten-support-portal-updates-november-2020/#comments Wed, 20 Jan 2021 07:29:09 +0000 https://www.elegantjbi.com/blog/?p=6799 Continued]]> smarten-support-portal-updates-november-2020We invite you to explore our latest knowledgebase articles and to join the Smarten user community on Smarten Support Portal.

If you have not registered yet, Click Here to obtain your login credentials.

 

 

 

 

 

 

Knowledgebase Articles

  1. Embedded / API Integration: Handling CORS issues with API in Google Chrome

 

Forum Topics

  1. Datasource: How to avoid data filter issues in real-time object due to numeric precision limit?
  2. Embedded / API Integration: Why am I not able to access embedded Smarten objects through API in the latest version of Chrome (chrome 84.0.4147)?

 

Usecases

  1. General: Find out the frequency of repetition of dimension value combinations – e.g. frequency of combination of bread and butter from sales transactions

 

If you don’t find what you need in the Support Portal, we hope you will contact us with your questions, comments or suggestions. We are here to help and to support your business goals and success!

URL: Smarten Customer and Partner Community
Email: support@Smarten.com

Original Post : Smarten Support Portal Updates – November – 2020!

 

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Increase Data Literacy And Enable Digital Transformation! https://www.elegantjbi.com/blog/2021/01/18/increase-data-literacy-enable-digital-transformation/ https://www.elegantjbi.com/blog/2021/01/18/increase-data-literacy-enable-digital-transformation/#comments Mon, 18 Jan 2021 07:10:48 +0000 https://www.elegantjbi.com/blog/?p=6784 Continued]]> how-to-enable-digital-transformation-and-data-literacyEnable Data Literacy & Digital Transformation With Augmented Analytics!

If your business wishes to enable Digital Transformation, it must create a roadmap to achieve results using new or modified technologies, streamlined workflow and processes that will leverage these technologies to enhance information sharing and ensure a consistent, uniform approach to business objectives and goals. It must also encourage and advance Data Literacy within the ranks of its teams. Why is data literacy important?

If your business wants to succeed in Digital Transformation, it is important that all team members understand the importance and the value of making data-driven decisions and that they understand how and when to use technology and analytical tools to analyze and share data that is integrated from sources across the enterprise. If a user is not comfortable with technology, it is unlikely they will adopt the new tools or processes and it IS likely that they continue to try to find workarounds, thereby causing your Digital Transformation initiative to fail.

Look for Augmented Analytics solutions that use machine learning (Auto ML) and Natural Language Processing (NLP) so that your systems will communicate with your users in a way that makes sense to them. These solutions leverage natural language so users can ask a question using normal sentence formats and words and receive an answer in the same way.

NLP Search Analytics allow users to gain comfort and confidence using the tools you want them to use so that you can implement new workflows and processes and institute new procedures for data sharing, reporting and decision-making. Support for Digital Transformation is necessary if your business wishes to succeed with these initiatives. One cannot simply declare that the transformation take place. One must create a roadmap that includes a review of existing technology, manual and automated workflow and processes and user confidence in data and tools, and then support the changes by requiring that all team members and managers use the new tools and techniques to complete tasks, perform analysis and share data.

As business users embrace analytical tools and techniques and new technologies, they will become more comfortable with the new environment and data literacy will improve across the organization.

If you want to engender a Digital Transformation and encourage Data Literacy adopt and use augmented analytics tools that support business users and provide an environment that will increase use and confidence in technologies and data.  Contact Us to get started.

Original Post : How to Enable Digital Transformation and Data Literacy!

 

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Smarten Support Portal Updates – October – 2020! https://www.elegantjbi.com/blog/2021/01/13/smarten-support-portal-updates-october-2020/ https://www.elegantjbi.com/blog/2021/01/13/smarten-support-portal-updates-october-2020/#comments Wed, 13 Jan 2021 07:08:19 +0000 https://www.elegantjbi.com/blog/?p=6774 Continued]]> smarten-support-portal-updates-october-2020We invite you to explore our latest knowledgebase articles and to join the Smarten user community on Smarten Support Portal.

If you have not registered yet, Click Here to obtain your login credentials.

 

 

 

 

 

 

Knowledgebase Articles

  1. SSDP: Improving performance for fetching data from the database
  2. Basics of JOINs: INNER JOIN
  3. Basics of JOINs: LEFT OUTER JOIN
  4. Basics of JOINs: RIGHT JOIN
  5. Basics of JOINs: FULL JOIN
  6. Basics of JOINs: SELF JOIN
  7. Basics of JOINs: CROSS JOIN / CARTESIAN JOIN

 

Forum Topics

  1. Datasource: When I create a dataset from CSV / Excel files using upload file from my desktop option, do I have to upload it every time when there are any changes in the file?
  2. Datasource: How to improve performance for fetching data from the database
  3. Dataset: While rebuilding a cube with comments in the cube query is throwing the below error of ‘Incorrect syntax’. Whereas my other cubes with comments in the query are getting rebuilt properly.
  4. Dataset: Dataset extraction in progress message is displayed while editing the joining condition

 

If you don’t find what you need in the Support Portal, we hope you will contact us with your questions, comments or suggestions. We are here to help and to support your business goals and success!

URL: Smarten Customer and Partner Community
Email: support@Smarten.com

 

Original Post : Smarten Support Portal Updates – October – 2020!

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A Business Use Case Overview of Augmented Analytics! https://www.elegantjbi.com/blog/business-case-overview-augmented-analytics.htm https://www.elegantjbi.com/blog/business-case-overview-augmented-analytics.htm#comments Thu, 07 Jan 2021 08:55:08 +0000 https://www.elegantjbi.com/blog/?p=6766 Continued]]> business-use-cases-help-you-see-augmented-analytics-valueHow Can I Decide Whether My Team Would Actually Benefit from Augmented Analytics?

Sometimes it is difficult to imagine how a new process, technique or software solution might help your business. You see the demos, you read the marketing messages and you wonder if there is true value in adopting these new ideas and concepts.

When it comes to Advanced Analytics and the benefits of predictive analytics, the same conundrum can often present itself to an enterprise. How do you decide whether this is the right idea to move your business forward, to help your team members and to provide the right decisions for your business to compete in the market and keep your customers, partners and suppliers happy?

That’s where Use Cases come in!  When you read a Use Case, you can see your own business in the content and gain insight and inspiration into how augmented analytics tools, new techniques and culture changes within your enterprise can help you to grow and thrive.

If you are wondering about the advantages of advanced analytics, whether your business users can embrace these tools, and if the concept of Augmented Analytics will truly help your users to adopt these tools and find meaningful uses within their own roles and responsibilities, take a look at this list of Use Cases and see if you can find one or more that apply to your issues, challenges and focus.

Customer Churn – The cost of acquiring and interacting with customers is one a business must fund and, every time the business loses a customer (customer churn), it must spend more money to replace that customer.

Fraud Mitigation – Businesses must work to mitigate fraud to improve business results and develop and sustain fraud detection processes to enable operations monitoring.

Quality Control – Businesses that fail to control quality will lose customers and market share and, in some cases, expose the organization to legal risk and liability.

Demand Planning – Businesses cannot afford to use guesswork in the planning process. There are many factors that influence business success and a business must anticipate and plan to accommodate.

Product and Service Cross-Selling and Up-Selling – Business managers strive to leverage customer satisfaction to cross-sell and upsell products and services, thereby increasing revenue and brand loyalty.

Maintenance Management – A business must focus on maintenance to keep equipment up and running and reduce downtime as well as perform anticipating required resources, hours on the job and the types of training required.

Customer Targeting – If a business can identify the things that cause a particular customer to buy a particular product or service, it can create products, marketing messages, advertising and outreach that will target specific customer buying behaviors and needs.

Human Resource Attrition – To retain employees, the organization must understand what makes a team member leave a position, what makes them want to stay and invest in the future of the business and what types of issues will create dissatisfaction.

Loan Approval – The cost of dealing with ‘bad’ loans is high and it reduces profitability and productivity. To succeed, businesses must have a dependable process for attracting the right clientele and reviewing, approving and managing loans.

Marketing Optimization – Businesses create targets and goals but, without a fundamental understanding of what affects sales and what kind of decision process customers use to choose a product or service, the marketing and advertising process is based only on guesswork.

Predictive Analytics Using External Data – The ability to integrate data from sources outside the enterprise is crucial to many businesses. Analysis of external data is tedious and time consuming if it is not easily handled by an augmented analytics solution.

Online Target Marketing – In order to optimize available marketing funds and resources, the enterprise must understand what works and what does not work, where to put its messaging and the ideal profile and demographic for its targeted customers.

Students’ Academic Performance – To predict a student’s academic performance at an early stage based upon influencing factors helps decision makers to take wise actions at the right moment in order to improve student’s success rate.

Crime Type Prediction – Predict the Crime Type in order to prevent crime in the society and assist law agencies to design optimal strategies to ward off crime happenings to increase  public safety and decrease economic loss.

If you are ready to leverage the benefits of augmented analytics and predictive analytics, and the powerful potential of your business users, you can start here, Analytics for All.

Original Post : Business Use Cases Help You See Augmented Analytics Value!

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Smarten Support Portal Updates – September – 2020! https://www.elegantjbi.com/blog/2021/01/06/smarten-support-portal-updates-september-2020/ https://www.elegantjbi.com/blog/2021/01/06/smarten-support-portal-updates-september-2020/#comments Wed, 06 Jan 2021 10:29:02 +0000 https://www.elegantjbi.com/blog/?p=6759 Continued]]> smarten-support-portal-updates-september-2020

We invite you to explore our latest knowledgebase articles and to join the Smarten user community on Smarten Support Portal.

If you have not registered yet, Click Here to obtain your login credentials.

 

 

 

 

 

 

Knowledgebase Articles

  1. Getting Started: Download Smarten Evaluation Version
  2. Getting Started: Create your smarten instance from AWS marketplace
  3. Crosstabs: Display filter value in the title
  4. Graphs: Plot the dynamic graph based on measure selected from the list of measures
  5. Email Configuration & Templates: Email Account (SMTP) with Two Factor authentication
  6. TeamUp: Configure TeamUp
  7. TeamUp: Archive TeamUp Data
  8. SSDP: Convert timestamp based text formats to Timestamp
  9. SSDP: Create dataset/cube using stored procedures in RDBMS instead of a query?
  10. GeoMap: Workflow to create Default geomap

 

Forum Topics

  1. Graphs: How can I plot the dynamic graph based on measure selected from the list of measures
  2. SSDP: Dataset Action Editor – Action item status (active or inactive) is not saved permanently
  3. TeamUp: How to Configure TeamUp
  4. TeamUp: How to Archive TeamUp Data
  5. SSDP: How can I convert a text like ‘20190301175527’ to a timestamp
  6. Dashboard: My user list is empty while publishing any object
  7. Crosstabs: Not able to see future or past years in timeseries section of dashboard or timeseries filter
  8. Email Settings: Unable to change the password
  9. Email Settings: Can I use two factor SMTP account for outgoing emails from Smarten server?
  10. SSDP: How can I create a dataset using stored procedures in RDBMS instead of a query?
  11. Graphs: How can I plot the dynamic graph based on measure selected from the list of measures
  12. Geomap: How can I highlight my state and cities in the map when I have State and cities columns in my dataset?
  13. Geomap: How can I highlight my cities in the map when I have only latitude and longitude available?

 

Usecases

  1. SSDP: Get day wise new addition of counts from the data with day wise closing balance of counts
  2. SSDP: Merge actual data in financial year, with Plan data in calendar year, and create plan vs actual data as per financial year?
  3. SSDP: Apply rounding logic to Time data – e.g. 1:39 PM should be 2 PM and 1:20 PM should be 1 PM
  4. SSDP: Merge monthly plan data with actual daily sales data and create plan vs actual data

 

If you don’t find what you need in the Support Portal, we hope you will contact us with your questions, comments or suggestions. We are here to help and to support your business goals and success!

URL: Smarten Customer and Partner Community
Email: support@Smarten.com

 

Original Post : Smarten Support Portal Updates – September – 2020!

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Easy Shopify Analytics with Sales Trends, KPIs and More! https://www.elegantjbi.com/blog/2021/01/04/easy-shopify-analytics-sales-trends-kpis-more/ https://www.elegantjbi.com/blog/2021/01/04/easy-shopify-analytics-sales-trends-kpis-more/#comments Mon, 04 Jan 2021 09:50:18 +0000 https://www.elegantjbi.com/blog/?p=6751 Continued]]> easy-shopify-analytic-single-sign-on-pre-built-templatesYou Need Not Spend a Lot of Time and Money to Get User Accessible Shopify Analytics!

When a small business (or a business of any size) decides they need analytics to assess the results of their eCommerce and online business, the IT and management teams may think it necessary to adopt and train users on a complex analytical tool and to plan for data integration in order to make information and analytics accessible to users. That idea may lead the business to provide access only to IT or analysts in order to limit the time and expense required to implement the solution and the techniques.

But, if your business uses Shopify for eCommerce, your Shopify analytics solution is much simpler than that, AND your solution will allow you to provide these tools and this information to every team member, thereby creating more value and expanding data literacy and fact-based decision making throughout the organization.

With tools that integrate analytics and overlay these tools so that users have a single sign-on point within Shopify, your business can quickly and enjoy Shopify Integration and use Shopify dashboards and reports to see Sales Trends, Key Performance Indicators (KPIs), Customer Lifetime Value, Product Dashboards and BI Reports. Business Intelligence Reporting allows your users to leverage pre-built report formats to get the information they need and make decisions about product bundling, product pricing, customer loyalty discounts, and more!

It is easy to implement this analytical capability using a solution that Integrates Shopify With Augmented Analytics. Contact Us to today to find out how SmartenApps for Shopify can help you achieve your goals.

Original Post : Easy Shopify Analytic: Single Sign-On & Pre-Built Templates!

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Are You Excited About Getting Vaccinated? Don’t Let Overconfidence Make You a Super Spreader! https://www.elegantjbi.com/blog/2021/01/04/excited-vaccinated-dont-overconfidence-super-spreader/ https://www.elegantjbi.com/blog/2021/01/04/excited-vaccinated-dont-overconfidence-super-spreader/#comments Mon, 04 Jan 2021 06:15:17 +0000 https://www.elegantjbi.com/blog/?p=6746 Continued]]> are-you-excited-about-getting-vaccinated-dont-let-overconfidence-make-you-a-super-spreaderThe global pandemic of 2020 has been challenging in many ways. As world, community and health organizations struggle to collaborate on strategies and to provide supplies and direction to citizens, each resident, refugee, adult, child, teacher, essential worker, healthcare provider, business owner, employee, neighbor and parent must make an individual decision about personal and family safety.

As we celebrate the arrival of vaccines around the world, our excitement is tempered by the knowledge that with more than six billion people on this planet, it will take a year or more (depending on the nation) to vaccinate enough people to achieve ‘herd immunity’.

The vaccine represents a ray of hope in what has been a difficult time!

While it is tempting to focus on the light at the end of the tunnel, it is important to recognize that we are not there yet and that those who are vaccinated can create super-spreader events in their communities if they do not continue to follow simple mask and social distancing guidelines.

The available vaccines are demonstrating a high percentage of effectiveness and will help those who receive it to avoid getting the virus but world health officials caution that getting the vaccine does not prevent a person from spreading the virus. It is possible to have and spread the virus even though the vaccine is protecting you from the effects of COVID-19.

As the vaccine is distributed among the population, the most dangerous misconceptions relate to the need for continued caution, mask wearing and social distancing.

Those who receive the vaccine and choose to ignore their responsibility to others in their community can, and probably will, represent the greatest threat and create the great probability of a super spreader event.

While it is true that it can, at times, seem as if we have endured these virus restrictions forever, and that we are at the end of the line for a vaccine, we CAN do this. We can be strong a bit longer, we can be logical and follow the guidelines of healthcare experts to keep ourselves and our fellow humans safe and well.

So, get your vaccine, mask up and keep your distance! Be a good neighbor! Be a good friend, son, daughter, husband, wife, employer, citizen, team member…be vigilant and be well, and we will welcome 2022 together!

Original Post : Are You Excited About Getting Vaccinated? Don’t Let Overconfidence Make You A Super Spreader!

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Managers Should Evaluate Citizen Data Scientists Differently! https://www.elegantjbi.com/blog/2020/12/31/managers-evaluate-citizen-data-scientists-differently/ https://www.elegantjbi.com/blog/2020/12/31/managers-evaluate-citizen-data-scientists-differently/#comments Thu, 31 Dec 2020 07:17:19 +0000 https://www.elegantjbi.com/blog/?p=6740 Continued]]> evaluate-citizen-data-scientist-team-members-differentlyHow to Evaluate Business Users in Their New Role as Citizen Data Scientist!

When a business initiates a Citizen Data Scientist movement within its ranks, it is important to recognize the other changes that will be required in order to reinforce the value of the program by reviewing and modifying team member evaluation and merit programs to reward Citizen Data Scientists for their collaboration, use of data-driven information in decisions and recommendations and work with Data Scientists, IT and others involved in the new initiative.

When evaluating a new Citizen Data Scientist, the organization must also ensure that these business users are given adequate support for the transition. It is not an effective strategy to hold team members accountable for these expectations if the culture and expectations do not shift to support this initiative. Once these changes are made, the Citizen Data Scientist can be evaluated based on:

These metrics should, of course, be objective, and not based on opinion, so the organization will want to create new, measurable evaluation metrics with which to assess these business users as they take on their new roles.

To provide the best possible understanding for prospective business users being considered for Citizen Data Scientist roles, your business should seriously consider a simple training session like this one that will allow them to understand the new role, how they will work with others, when they will engage analysts or data scientists for assistance, how Augmented Analytics solutions work and the basics of predictive analytics and sample algorithms.

Contact Us to today or Click Here to begin your Citizen Data Scientist journey.

Original Post : Evaluate Citizen Data Scientist Team Members Differently!

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Business Users CAN Use Predictive Analytics! https://www.elegantjbi.com/blog/2020/12/21/business-users-predictive-analytics/ https://www.elegantjbi.com/blog/2020/12/21/business-users-predictive-analytics/#comments Mon, 21 Dec 2020 08:56:49 +0000 https://www.elegantjbi.com/blog/?p=6733 Continued]]> business-users-need-not-fear-predictive-analyticsPredictive Analytics is a Critical Component of an Augmented Analytics Suite!

Analytics and advanced analytics techniques can seem daunting to the average business user but they need not be. If a business wants its users to adopt and use analytics tools, an augmented analytics solution is the way to go. These solutions are easy to use and provide guidance and auto-recommendations to help users gather and analyze data using the right analytical technique.

Assisted Predictive Modeling provides the user with suggestions to help them choose the technique that is best for the type of data they want to analyze so results are clear and add value for making decisions. Predictive Modeling capability and auto-recommendations and auto-suggestions will simplify use and allow business users to leverage predictive algorithms without the expertise and skill of a Data Scientist.

These tools are designed for business users and allow the organization to apply predictive analytics to any use case. Business users can apply forecasting, regression, clustering and other methods to analyze an infinite number of use cases including customer churn, and planning for and target customers for acquisition, identify cross-sales opportunities, optimize pricing and promotional targets and analyze and predict customer preferences and buying behaviors.

If you want to provide the right tools for Predictive Analytics, and adopt and use augmented analytics tools, Contact Us.

Original Post : Business Users Need Not Fear Predictive Analytics!

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Citizen Data Scientists: You are a Role Model! https://www.elegantjbi.com/blog/2020/12/17/citizen-data-scientists-role-model/ https://www.elegantjbi.com/blog/2020/12/17/citizen-data-scientists-role-model/#comments Thu, 17 Dec 2020 07:26:56 +0000 https://www.elegantjbi.com/blog/?p=6725 Continued]]> Citizen-Data-Scientists-Take-Heed-Your-Job-is-to-LeadHow a Citizen Data Scientist Can Help Others Adjust to the New Reality!

When a business user is given the mantle of Citizen Data Scientist, they being a journey that can help to advance their career, provide leadership experience and improve visibility across the organization. But, in order to embrace this new part of their position, they must understand a number of things.

Becoming a Citizen Data Scientist means having a full grasp of the new role and how that will change the day-to-day workflow and processes, alter relationships across teams and affect the overall environment. It means gaining insight into the workings of an augmented analytical system and the basic analytical techniques that drive fact-based decision-making.

As a newly minted Citizen Data Scientist, it is important to develop a cogent explanation of your new role to help others understand how things have changed. Citizen Data Scientists must be ready to lead by example and help other business users gain a level of comfort with data, an understanding of how to read and share reports and the expectation that recommendations will be supported by this new world of data-driven, factual collaboration.

In this new world, managers, HR and other professionals must also change their expectations and the way that they hire, train and evaluate team members. A team member must bring their professional expertise and knowledge to bear in gathering and analyzing data in a way that is meaningful to their role. It is the combination of their professional knowledge and the access to data that will help them to make better decisions and produce better outcomes.

As a business considering Citizen Data Scientist initiatives or a business user candidate for Citizen Data Scientist, you will need expert support. Contact Us to today or Click Here to begin your Citizen Data Scientist journey. You can ensure that your team achieves success and that your business is ready for the future!

Original Post : Citizen Data Scientists Take Heed. Your Job is to Lead!

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Do Citizen Data Scientists Need Special Analytics Tools? https://www.elegantjbi.com/blog/2020/12/14/citizen-data-scientists-special-analytics-tools/ https://www.elegantjbi.com/blog/2020/12/14/citizen-data-scientists-special-analytics-tools/#comments Mon, 14 Dec 2020 07:36:40 +0000 https://www.elegantjbi.com/blog/?p=6713 Continued]]> what-do-citizen-data-scientists-needData Scientists Focus on Strategy, Citizen Data Scientists Deliver Daily!

When Gartner talks about expanding data analytics to business users, they also talk about how the analytical tools must be suitable for business users. If a business wants to implement a Citizen Data Scientist initiative and encourage their business users to become more productive and valuable within the business environment, that business must provide tools that are easy enough for the average business user and will allow them to easily adopt these tools to make day-to-day decisions.

There is a difference between a data scientists and a Citizen Data Scientist. A data scientist is more productive if they can focus on those advanced analytics projects that require 100% accuracy and are strategic in nature. A Citizen Data Scientist needs Augmented Analytics Tools that provide suggestions and guidance to help them choose the best way to Visualize Data and which Predictive Analytics techniques to use to achieve their goals.

A Citizen Data Scientist must use analytics to make decisions that drive tasks and collaboration on a daily basis – solving problems and identifying opportunities and bringing those solutions and suggestions into the team environment to work more productively and more efficiently to achieve the objectives set for them. To create this kind of change within an organization, managers, HR and executives must work together to create processes, workflow, evaluation techniques and collaborative meeting and team environs that encourage and expect users to leverage data to support recommendations and conclusions.

Data Scientists take the long view. Citizen Data Scientists are in the trenches and, in order to meet those long-term objectives, they must have the right tools and information to make progress every day! If your team needs augmented analytics, you can start your journey here: Citizen Data Scientists Are The Future Of Your Business.

Original Post : What Do Citizen Data Scientists Need?

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What Gets You the Job? Skill or Attitude? https://www.elegantjbi.com/blog/2020/12/10/job-skill-attitude/ https://www.elegantjbi.com/blog/2020/12/10/job-skill-attitude/#comments Thu, 10 Dec 2020 07:36:27 +0000 https://www.elegantjbi.com/blog/?p=6708 Continued]]> what-gets-you-the-job-skill-or-attitudeMy business success is very important to me and, while I have many management responsibilities, I really try to focus on the people we hire. They are the heart and soul of our company and they are the engine of our business. I try to interview many of the employees we hire because I value the team concept and the contribution of every person. I also want to ensure that the people we hire are a good fit for our team environment, our values and the skills and knowledge we need to succeed.

As a manager, I am always looking for good team members and I want to hire a candidate who is dedicated, professional, ethical and technically skilled. As I probe for answers to these questions, I try to focus on what a candidate knows that can help our team, rather than grilling them on a subject area they don’t know.

My goal is not to ‘catch’ the candidate by finding an area of weakness and pointing out how they need to improve or change.

I DO want to know what they don’t know so that I can make an educated decision on where to place them in the organization and the kinds of training and mentoring that will best suit that particular candidate and make them an asset to the business as they grow. 

But, my real focus is on attitude and behavior.

Skills can be acquired but attitude rarely changes.

If someone is dedicated and has a ‘can do’ attitude and exhibits team behaviors, they are a much better fit in any organization. You can’t make someone WANT to succeed or to cooperate.

I would rather hire someone who has solid skills that may need to be honed, but possesses an excellent attitude, demonstrates team behavior and dedication and will grow with the business professionally and personally. Highly skilled people are great but if they come into the job with the idea that they have no flaws or weaknesses, they are not likely to succeed.

When I interview a candidate, I try to trace the boundaries of their skills and knowledge and find out what they can do well. Rather than asking them questions or testing them on domains or technical questions they can’t answer, I want to find out how they handle themselves in a situation, how they interact with others, and what they believe their role or impact might be within the organization.

Attitude is THE key!

We would all like to think that there are legions of perfect employees waiting for a job opening in our company, but there is no such thing as perfect skills, or a complete knowledge of any domain.

There is, however, the perfect employee profile!

If you understand what you need, and how candidates will fit in your organization, you will choose the right person. It sounds like an empty promise, but behavior, attitude, ethics, values and respect will help your organization to succeed.

Choose employees who want to grow and learn and who will promote growth and learning in others. Provide the right training to enhance technical and professional skills and watch your organization (and your people) thrive!

Original Post : What Gets You The Job? Skill Or Attitude?

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Use Analytics to Drive Shopify Store Results! https://www.elegantjbi.com/blog/2020/12/08/analytics-drive-shopify-store-results/ https://www.elegantjbi.com/blog/2020/12/08/analytics-drive-shopify-store-results/#comments Tue, 08 Dec 2020 07:20:26 +0000 https://www.elegantjbi.com/blog/?p=6701 Continued]]> shopify-analytics-for-ecommerce-and-online-storesGet the REAL Information from Your Shopify Solution: Analytics is Easy!

In a time when eCommerce is exploding, a small business owner with an online store might think that all they have to do is post products or services and wait for the money to roll in but nothing could be further from the truth. There are thousands of businesses struggling to pay their bills and wondering why their beautiful online stores are not producing results.

Even if you are getting a decent flow of traffic on your site, you may not be closing the sale, or you might be missing sales to those who would bundle and buy products if they were marketed appropriately. The truth is that you can’t just wait for customers. You need good, solid information in order to plan and execute, adapt to changing customer needs and understand your customer groups and targets.

If you have a Shopify online store, you can integrate analytics in a single sign-on environment without having to learn a new analytical solution. You can use the information from your Shopify system to understand customer cohorts and groups, lifetime value of customers, sales trends and other crucial information and you can use that data to identify opportunities for cross-selling and up selling and to solve problems and close gaps in your sales closing process.

Talk to your Shopify consultants and find out how easy it is to implement this analytical capability using a solution that Integrates Shopify With Augmented Analytics and Contact Us to today to find out how this approach can help you achieve your goals.

Original Post : Shopify Analytics For ECommerce And Online Stores!

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Business Intelligence Reporting for Business Users! https://www.elegantjbi.com/blog/2020/12/07/business-intelligence-reporting-business-users/ https://www.elegantjbi.com/blog/2020/12/07/business-intelligence-reporting-business-users/#comments Mon, 07 Dec 2020 07:59:10 +0000 https://www.elegantjbi.com/blog/?p=6692 Continued]]> bi-reporting-for-business-users-that-is-clear-and-usefulImagine BI Tools and Reporting that Offer Personalized Views and Clarity!

One of the most important capabilities of a Business Intelligence Solution or BI tool is the ability to provide reports, both for the user who is leveraging the tool and for teams, managers and executives who want to share or make decisions based on fact-based information.

First and foremost, you need to be able to integrate data from across the enterprise so that your users are working with all the most accurate, timely information they need to perform their analytics. Secondly, you need flexible reporting tools that allow your users to personalize their views and create views, displays and reports without the assistance of IT or business analysts or Data Scientists.

You need web-based BI reports you can deliver to anyone (or everyone) in your organization within minutes! ElegantJ Those reports must be simple to use, practical to implement and affordable for every organization. Imagine BI Tools that allow your users to point-and-click and drag-and-drop and you instantly create a report to summarize performance metrics, or operational data, all in a self-serve environment without programming or database or SQL skills.

Imagine that you can produce meaningful, personalized reports with ease and simplicity. Users can automate publication and delivery of these reports via email, thereby improving productivity and ensuring that information reaches the right people at the right time. BI publishing and delivery agents can meet every need and to ensure that every business user has the Information they need. Users can leverage BI objects such as dashboards, reports, cross-tab or graphs and these are delivered automatically via email or file publishing so users stay abreast of issues, opportunities, financials, sales and other metrics

To democratize data and improve data literacy, you’ll want to choose Business Intelligence Tools that are designed for business users with BI tools for reporting that are easy to use and intuitive. Start here: BI Reporting Tools

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Advanced Analytics for Business Users = Augmented Analytics! https://www.elegantjbi.com/blog/2020/12/01/advanced-analytics-business-users-augmented-analytics/ https://www.elegantjbi.com/blog/2020/12/01/advanced-analytics-business-users-augmented-analytics/#comments Tue, 01 Dec 2020 07:35:53 +0000 https://www.elegantjbi.com/blog/?p=6686 Continued]]> dont-choose-the-wrong-approach-to-advanced-analyticsAugmented Analytics is Designed for Business Users So Analytics is Easy for All!

When a business decides to undertake a data democratization and data literacy initiative, it is important to recognize that not all advanced analytics solutions are created equal. Business users who are expected to take on the task of analytics, will need an augmented analytics solution that can support their needs. They aren’t data scientists. They aren’t business analysts. They are business professionals who will want to use an analytics solution that can give them sophisticated output and information. It has to be easy enough to use without the need for assistance by IT or data scientists and it has to be a solution that can be personalized to produce reports and analytics that are easy for each user to leverage to make decisions, solve problems and identify opportunities.

Today’s self-serve augmented analytics solution is designed to support users across the enterprise. It enables rapid implementation and user adoption and requires very little training or transition time. Auto-suggestions and recommendations allow users to work on their own, no matter their skill levels.

No matter your role or responsibilities within your organization, you and your business can enjoy the Benefits Of Augmented Analytics and support initiatives that transform business users into Citizen Data Scientists and improve Data Literacy, data sharing and fact-based decision-making.

Whether you are a business owner, executive, manager, IT staff member, data scientist or business user, you can start using these solutions today!

If you want to explore the Advantages Of Augmented Analytics, Contact Us today.

Original Post : Don’t Choose the Wrong Approach to Advanced Analytics!

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What Are Citizen Data Scientists and Can They Improve the Quality of Business Intelligence? https://www.elegantjbi.com/blog/2020/11/25/citizen-data-scientists-improve-quality-business-intelligence/ https://www.elegantjbi.com/blog/2020/11/25/citizen-data-scientists-improve-quality-business-intelligence/#comments Wed, 25 Nov 2020 06:55:51 +0000 https://www.elegantjbi.com/blog/?p=6681 Continued]]> what-are-citizen-data-scientists-and-can-they-improve-the-quality-of-business-intelligenceWhat Are Citizen Data Scientists?

Citizen Data Scientists represent a new breed of business analysts – a group of individuals with diverse business responsibilities and training, who wield sophisticated analytical tools, and employ complex methods of analysis to improve business results – all without the training or assistance of data scientists or IT team members. Citizen Data Scientists are business users who leverage the knowledge and skill they have developed through professional training and business roles to navigate business intelligence and advanced analytical tools to answer business questions, identify trends and patterns and develop new competitive strategies to support business decisions.

what-is-a-citizen-data-scientist-cds

 

 

 

 

 

 

 

 

 

 

 

 

 

Citizen Data Scientists work in a self-serve, easy-to-use business intelligence model wherein they can share data, produce reports and test hypotheses and theories. Citizen Data Scientists are not trained as analysts or technology experts. They come from every corner of the organization, from sales and marketing to finance, HR, production and purchasing and they use advanced data analytics to make decisions in support of their business team, division or unit.

Can Citizen Data Scientists Improve the Quality of Business Intelligence?

When an organization integrates data sources and enables self-serve, Advanced Data Discovery and analysis, the business can cascade knowledge and skill and make it easier for every business user to complete tasks, make accurate decisions and perform with agility in a fast-paced business environment. In a self-serve business intelligence environment, every team member is empowered to find and use clear, accurate data.

The Gartner report entitled, ‘Citizen Data Science Augments Data Discovery and Simplifies Data Science,’ states that, ‘the number of Citizen Data Scientists will grow five times faster than the number of highly skilled data scientists.’

By providing these crucial self-serve analytical tools to each team member, the business ensures that every location, business unit, division and team will work with consistent, uniform, clear data to make decisions, forecast future results and plan for market entry, new products and competitive initiatives.

Citizen Data Scientists use drag and drop tools, and features like Assisted Predictive Modelling, auto-suggestion and auto-recommendations to create, share and use predictive models to get data insights and use predictive analytics to their day to day Use Cases. These tools allow for sophisticated analysis without the assistance of precious IT and analyst resources and ensure that problems are solved quickly and that the organization can identify opportunities, and optimize resources at every level.

Citizen Data Scientists can go beyond data monitoring to discover those all-important nuggets of information that will make a real difference in business success.

Giving business users the right tools and a simple way to manage and analyze data and information encourages the adoption of business intelligence and analytical tools and assures that every team member an asset to your organization.

Original Post : What Are Citizen Data Scientists and Can They Improve the Quality of Business Intelligence?

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Self-Serve Data Preparation: It Really IS for You! https://www.elegantjbi.com/blog/2020/11/23/self-serve-data-preparation-you/ https://www.elegantjbi.com/blog/2020/11/23/self-serve-data-preparation-you/#comments Mon, 23 Nov 2020 09:27:20 +0000 https://www.elegantjbi.com/blog/?p=6670 Continued]]> self-serve-data-prep-is-not-painfulPlease Don’t Make Me Think About It: Self-Serve Data Prep Really IS for Everyone!

If you are an average business professional, your eyes probably roll back in your head when you hear terms like data preparation, data extraction, transformation and loading, otherwise known as ETL, or any other term that makes you think of a pile of rubble you have to sift through to find what you need. How and why would you ever want to dive into that pile?

Well, you just might! Self-Serve Data Preparation or Self-Serve Data Prep (if you are in the know) allows you to take data from a lot of different sources and pull it together, and then easily prepare it for analysis. Since analytics is the last piece of the puzzle, you might have to swallow hard to consider jumping into THAT arena as well.

So, why would you want to do all this? Well, probably because it can help you do your job. You see, if you have an Augmented Analytics solution with self-serve data preparation, you can take that dive you are afraid to make without any risk or frustration. You can gain insight into data and make great decisions without having to guess at the outcome. You can test hypotheses and theories, find out when and what kind of training your team will need, understand sales and customer buying behavior, figure out what your competition will do next, decide when and where to open a new location, make plans to launch a new product, and that’s just scratching the surface.

You don’t have to be a business analyst or a data scientist to need or use data. You can use simple, sophisticated tools to tackle that data and dive deep into it to find just the right nugget of information that will help you succeed!

If you want to provide the right tools for Self Serve Data Preparation, and adopt and use Augmented Analytics ToolsContact Us.

Original Post : Self-Serve Data Prep Is NOT Painful!

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Get the Right BI Tools and Make Business Users Happy! https://www.elegantjbi.com/blog/2020/11/19/bi-tools-business-users-happy/ https://www.elegantjbi.com/blog/2020/11/19/bi-tools-business-users-happy/#comments Thu, 19 Nov 2020 07:49:45 +0000 https://www.elegantjbi.com/blog/?p=6662 Continued]]> the-right-bi-tools-mean-everything-to-your-business-usersWant to Improve Data Literacy and Data Democratization? Use the Right BI Tools!

When you want to democratize data and help your business users function at a higher level; when you want to improve the quality of decisions; when you want to optimize the analytical and data scientist resources you have and make them more productive, you have to look at the business intelligence solutions that are designed to support every team member. Most of your team members are professionals with specific knowledge and that knowledge should be giving you a market advantage and should be dedicated to doing the job and filling the role you need the team member to fill.

To make your team more productive, you want them to have the BI tools they need to gather information from an integrated source that includes data from all across the enterprise and use that data with easy reporting, alerts, and collaborative tools so that they can quickly analyze and understand what they are seeing and how things need to change, where the opportunities are and what is really happening in the business. They need to be able to share this data easily and produce reports and create Data Visualizations and displays that will help others understand so no time is wasted and the business can succeed and compete.

To democratize data and improve data literacy, you’ll want to choose business intelligence tools that are designed for business users – not tools that are meant for experts in analytics or data science. You CAN achieve your goals. Start here: Business Intelligence For Business Users, EasyBITools

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Be Sure You Support Your Citizen Data Scientists! https://www.elegantjbi.com/blog/2020/11/09/support-citizen-data-scientists/ https://www.elegantjbi.com/blog/2020/11/09/support-citizen-data-scientists/#comments Mon, 09 Nov 2020 08:26:41 +0000 https://www.elegantjbi.com/blog/?p=6657 Continued]]> how-to-support-your-citizen-data-scientist-program

Getting Started on the Citizen Data Scientist Path!

If you follow technology publications and predictions, you know that Citizen Data Scientists are the big news for business. By transforming business users into Citizen Data Scientists, the business can leverage the professional skills and knowledge of an individual team member and combine that knowledge with data analytics to get the best answers, forecast and predict, solve problems and identify business opportunities.

With the right augmented analytics solution, business users can adopt these tools and share and collaborate with others to make fact-based day-to-day decisions without the assistance of IT, a programmer or a Data Scientist. So, the business is more productive and decisions are more likely to advance the bottom line and the competitive strategy.

But, if you decide to launch a Citizen Data Scientist initiative, it isn’t as simple as getting the right software solution. You also have to change your culture to encourage collaboration, to allow data scientists to interact with business users, as and when data analytics needs to be refined for strategic purposes,

If you really want your Citizen Data Scientist initiative to succeed, you don’t need lengthy, in depth training. But, you do need to introduce the concepts and help the entire team understand the role, the purpose, the new workflow and processes, and the culture shift and you do need to introduce the techniques and tools they will use so that they are confident in the new role.

Citizen Data Scientist learning programs like this one: Citizen Data Scientist eLearning. will introduce the relevant concepts, discuss changing roles and collaboration and cover basic analytical techniques and the application of these techniques within self-serve Augmented Analytics solutions. This type of training allows organizations to identify Citizen Data Scientist candidates and provide them with a simple, timely course to give them the confidence to participate in and support the initiative.

Contact Us to today or Click Here to begin your Citizen Data Scientist journey You can ensure that your team achieves success and that your business is ready for the future!

Original Post : Citizen Data Scientists Need Support to Succeed!

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Opportunity is Knocking! Should You Answer? https://www.elegantjbi.com/blog/2020/11/05/opportunity-knocking-answer/ https://www.elegantjbi.com/blog/2020/11/05/opportunity-knocking-answer/#comments Thu, 05 Nov 2020 06:34:06 +0000 https://www.elegantjbi.com/blog/?p=6646 Continued]]> opportunity-is-knocking-should-you-answerAs business people, we are often presented with what might seem like a great opportunity. Maybe we have a chance to open another location, or to buy out a competitor or to add a product or service to our existing portfolio or to acquire more customers, resources, material or equipment.

At the outset, that opportunity can sparkle in the sun like a jewel. It can cause you to ignore all rational questions and considerations and move forward with the promise of more money, more customers, more visibility, greater market share. But, like a sparkling gem on the beach, if you look closely at the jewel, you might discover that it is a piece of scrap metal or glass. I am not suggesting that you ignore every business opportunity. I am simply offering a caution.

There will be times when your best option is to stay the course; when the right thing to do is…well, nothing!

New opportunities always require change, which may mean that you have to dedicate more resources, time, money, bandwidth, etc. We get so excited about these opportunities that we ignore the practical considerations and choose to focus only on the positive aspects of that opportunity. We get greedy! We want to add that line of business, we want to open new doors, we want to close more sales, or take over a new territory or piece of the market.

When these opportunities arise, you need to take a breath! Try to take a logical approach. Consider (measure) the likelihood of success vs. the effort it will take to succeed.

Ask yourself whether:

  • you really want to work on this opportunity
  • this opportunity, market or product aligns with your core business
  • you have the money, resources and time to do this the right way
  • this opportunity will help you to better serve your loyal customers
  • the market will perceive this as a good fit or addition to your products and services
  • your team can (and will want to) pursue this opportunity and succeed
  • the proposed changes will overburden or overstretch your team and resources
  • this is an ‘organic’ (natural) growth or addition or something that feels forced

Bigger isn’t always better. More isn’t always better. Sometimes your formula for success is to continue doing exactly what you are doing now and either a) wait for the right opportunity to come along or b) accept and solidify your success in your market of choice with a great, dependable product or service and a solid team and market niche. 

Knowing when to change, how much to grow and what opportunities are real jewels (as opposed to glass in the sand) – these are the qualities of a truly gifted businessperson!

Original Post: Opportunity Is Knocking! Should You Answer?

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SmartenApps for Shopify Available Now with 65%+ Discount on AppSumo Site! https://www.elegantjbi.com/blog/2020/11/04/smartenapps-shopify-65-discount-appsumo-site/ https://www.elegantjbi.com/blog/2020/11/04/smartenapps-shopify-65-discount-appsumo-site/#comments Wed, 04 Nov 2020 11:25:07 +0000 https://www.elegantjbi.com/blog/?p=6632 Continued]]> smartenapps-for-shopify-available-now-discount-on-appsumo-siteSmartenApps eCommerce Analytics for Shopify provides complete insight into sales trends, KPIs and more with pre-built templates/reports. eCommerce analytics has never been easier. SmartenApps allow every business user to analyze business results, and the tools can be accessed with a simple install. Within minutes, with a single sign-on and registration, you will have access to pre-built templates and reports including:  Sales Trends, Customer Lifetime Value, Customer Loyalty & Cohorts, Product Cross-sell Analysis and Business Intelligence Reports

Get insight into your business results to better understand your customers and make decisions that will help you achieve a competitive advantage and grow your business! Act now! Enjoy a discount of more than 65% AppSumo Offer

Original Post: SmartenApps for Shopify Available Now with 65%+ Discount on AppSumo Site

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How Can I Move From BI Tools to Augmented Analytics? https://www.elegantjbi.com/blog/2020/11/02/move-bi-tools-augmented-analytics/ https://www.elegantjbi.com/blog/2020/11/02/move-bi-tools-augmented-analytics/#comments Mon, 02 Nov 2020 08:27:42 +0000 https://www.elegantjbi.com/blog/?p=6627 Continued]]> augmented-analytics-go-beyond-bi-toolsFrom Business Intelligence to Augmented Analytics: Tips for a Crucial Transformation

As business intelligence solutions and BI Tools evolve into Augmented Analytics, business users can achieve valuable insight and take appropriate action to optimize resources and enable continuous improvement. As Gartner has predicted, the market is responding to business needs by transforming business intelligence tools into sophisticated Advanced Analytics that are easy-to-use. These augmented analytics solutions support the needs of the average business user, improve productivity and collaboration, and assure data democracy and Data Literacy across the organization.

Here are a few simple tips to ensure that your path to Augmented Analytics is smooth and successful:

  • Perform a comprehensive review of your data sources and ensure that the solution you consider will allow for integration of all data.
  • Review your existing business intelligence solution, or other analytical tools, including spreadsheets and data extraction, transformation, and loading (ETL) tools and compare your requirements to your needs now, and your anticipated future needs
  • Consider the skills of your average business user and the environment and collaborative processes you have in place and plan for the culture change and process and workflow improvements you will need to implement an augmented analytics initiative.
  • Compare the features of the available augmented analytics solutions to be sure you have the best support for your needs. Look for Smart Data Visualization, Self-Serve Data Prep, Assisted Predictive Modeling for Predictive Analytics, and a system that allows users to leverage Natural Language Processing (NLP) and Machine Learning so users can ask a simple question and get the answers they need quickly and easily.
  • Review the available solutions to ensure features like auto-recommendations and guidance provided to users to select the right analytical technique for the data they are analyzing and/or the right visualization technique to get the best results.

Follow these guidelines in assessing your needs, and in reviewing a vendor and augmented analytics offerings, as well as making plans for implementation and roll-out of the augmented analytics solution within your enterprise.

If you want to explore the Advantages Of Augmented Analytics, Contact Us today.

You can start your journey here and now! The Rewards Of Advanced Analytics

Original Post: Augmented Analytics: Go Beyond BI Tools!

 

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From Business Intelligence to Augmented Analytics: What and Why https://www.elegantjbi.com/blog/2020/10/29/business-intelligence-augmented-analytics-what-why/ https://www.elegantjbi.com/blog/2020/10/29/business-intelligence-augmented-analytics-what-why/#comments Thu, 29 Oct 2020 12:19:07 +0000 https://www.elegantjbi.com/blog/?p=6621 Continued]]> Augmented Analytics is the Next Generation of BI Tools for Business Users

As business intelligence solutions and BI Tools evolve into Augmented Analytics, business users can achieve valuable insight and take appropriate action to optimize resources and enable continuous improvement. As Gartner has predicted, the market is responding to business needs by transforming business intelligence tools into sophisticated Advanced Analytics that are easy-to-use. These augmented analytics solutions support the needs of the average business user, improve productivity and collaboration, and assure data democracy and Data Literacy across the organization.

In order to understand the importance of this transformation, let’s look at the what, and why of business intelligence solutions vs. the new world of augmented analytics.

What is Business Intelligence? Business intelligence is a field of knowledge comprised of strategies and technologies used by businesses to analyze business information and make decisions to solve problems, identify opportunities and plan for the future. Business intelligence solutions provide historical and current views of operations and, in the recent past, the use of these tools moved from IT and analyst only environment with tools designed for use by business users with average analytical and technical skills. These self-serve BI tools created a data democracy transformation, supporting business users with reports, clear visualization tools and dashboards to allow for monitoring and alerts, all without the assistance of IT.

In 2019, the world-renowned technology research firm, Gartner, predicted the necessary evolution of business intelligence solutions and the emergence of augmented analytics. Gartner predicted that these tools would be necessary to support the new culture of collaboration, and business user transformation from requesting reports and analytics to a Citizen Data Scientist role that would put them front and center in the day-to-day use of data to make fact-based decisions and move the company forward.

Augmented Analytics solutions use machine learning, natural language processing (NLP) and system recommendations and guidance to allow business users to leverage sophisticated analytics and techniques in an easy-to-use environment for self-serve data preparation, smart data visualization and predictive analytics. Users can share insights and reports and easily collaborate. As Augmented Analytics evolves, the role of the Citizen Data Scientist will grow, allowing business users more and better access to analytics and enabling Data Scientists to focus on projects that require 100% accuracy for strategic initiatives.

The 2019 Gartner prediction stated that, ‘…by 2020, citizen data scientists will surpass data scientists in the amount of advanced analysis they produce, largely due to the automation of data science tasks.’ And, that prediction has proven true!

So, what exactly does it mean to become a Citizen Data Scientist?  Citizen Data Scientists are business users who are generally power users of existing software and who have a need for data in their day-to-day position within the business. They are also typically curious about new tools and taking on new roles to advance their careers and their knowledge. With the advent of augmented analytics tools, these users are leveraging their professional skills and knowledge and using data analytics to ask questions, and gain insight into trends and patterns.

With augmented analytics, business users can apply analytics to real Business Use Cases to understand changes in customer buying behavior, the need for resources and training, how and when to change pricing on a product, new product ideas, and many other issues, questions and opportunities within the organization.

Whether you are already using business intelligence tools and you want to get more from your users and your solution with augmented analytics, or your business wishes to start an augmented analytics and Citizen Data Scientist initiative from scratch, you can enjoy real value and benefits. Improve your data literacy, data democratization, productivity, collaboration and decision-making by taking this step.

In summary, the journey from business intelligence tools to augmented analytics need not be complicated or daunting and it will provide improved collaboration, data literacy and data democracy. Every organization needs business intelligence to monitor, manage and make decisions. Augmented Analytics solutions provide the tools to do just that, and then some, and users will find it easy to adopt so your business can operate at a higher level and a much more refined knowledge of customers, finances, results, processes, products and competition.

Original Post: From Business Intelligence to Augmented Analytics: What and Why

 

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Augmented Analytics Makes Competition Easy! https://www.elegantjbi.com/blog/2020/10/27/augmented-analytics-competition-easy/ https://www.elegantjbi.com/blog/2020/10/27/augmented-analytics-competition-easy/#comments Tue, 27 Oct 2020 08:50:58 +0000 https://www.elegantjbi.com/blog/?p=6614 Continued]]> improve-competitive-positioning-with-advanced-analyticsAugmented Analytics is the Secret Weapon for Competitive Advantage!

How do you compete? There are probably other businesses in the market that do what you do but your product or your services must stand out. How do you take all the data you collect on a daily basis and use that data to your advantage to point you in the right direction?

Advanced Analytics is the answer!  You and your team members must all have the tools needed to gather integrated data from disparate sources and quickly and efficiently use that data to make decisions. Whether you are analyzing external data, social media data, data from financial systems, sales systems, customer service or any other source, you need to pull that data together in a way that is meaningful to the user who is making the decision. When you expect your business users to perform at the highest level possible, it is necessary to give them the tools to get them where they need to go and to collaborate and share data so that they can all learn and grow and use that knowledge to help your business.

Competitive positioning is crucial to every business. You can’t afford to waste time trying things out in the market. If you can test theories and hypotheses, look at how price point changes will affect your bottom line and decide how and if to bundle or upsell or cross-sell products, you can avoid making missteps and put your best foot forward.

Augmented Analytics can help your business users by providing advanced analytics in an environment that can be used by anyone with average technical skills, so business professionals can get you on the right path, solve problems before they create issues and identify and leverage opportunities to help you succeed in the market.

You can start your journey here and now! The Rewards Of Advanced Analytics

Original Post: Improve Competitive Positioning with Advanced Analytics!

 

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Can I Find eCommerce Analytics for Shopify? https://www.elegantjbi.com/blog/2020/10/26/find-ecommerce-analytics-shopify/ https://www.elegantjbi.com/blog/2020/10/26/find-ecommerce-analytics-shopify/#comments Mon, 26 Oct 2020 11:27:06 +0000 https://www.elegantjbi.com/blog/?p=6609 Continued]]> ecommerce-analytics-is-not-difficultI Know I Need Analytics for My Shopify eCommerce Site. Now What?

So, you’ve decided to stop guessing about the results and the competitive strategy of your Shopify eCommerce site. You know you have a lot of competition and you know you can’t depend on what external forces might affect your business in the coming months or years. But, once you have decided you need to analyze your data and use that data to make decisions, you have to take the next step.

You have to select an analytics solution to help you gather and understand the data and make better decisions. If you choose the right augmented analytics solution, you can easily integrate that solution with your eCommerce software. For Shopify, that eCommerce Analytics Solution is one that will help users gain insight into date in a unique and meaningful way without requiring the user to learn a whole new software package or get a degree in data science.

The app provides analytics integration so users can login and register in minutes and enjoy pre-built analytics templates and reports. Moreover, you users can go beyond visual analytics and simple data monitoring to take action. There are dashboards that allow for drill down and drill through and out-of-the-box reports that allow you to manage the health of the business. Users can share sales reports, sales trends and contribution, advanced key performance indicators (KPIs) to give you real objective metrics and reports on customer lifetime value, customer cohorts, customer loyalty and product cross sell to find those opportunities that will expand your business and improve your revenue.

Talk to your Shopify consultants and find out how easy it is to implement this analytical capability using a solution that Integrates Shopify With Augmented Analytics and Contact Us today to find out how this approach can help you achieve your goals.

Original Post: eCommerce Analytics Is Not Difficult

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Data Preparation Need Not Be Cumbersome or Time Consuming https://www.elegantjbi.com/blog/2020/10/22/data-preparation-cumbersome-time-consuming/ https://www.elegantjbi.com/blog/2020/10/22/data-preparation-cumbersome-time-consuming/#comments Thu, 22 Oct 2020 11:44:53 +0000 https://www.elegantjbi.com/blog/?p=6605 Continued]]> data-preparation-need-not-be-cumbersome-or-time-consumingData drives decisions and, in today’s competitive business environment, the kind of fact-based decisions achieved through Advanced Analytics are mandatory. These data-driven decisions ensure that a business does not make a misstep or have to guess at forecasts, plans and the root cause of problems.

But, with so much data in the average enterprise, it can be difficult to integrate and prepare data from all available sources so that data analysts and business users can accurately analyze data and make informed decisions.

Data lakes and information oceans can be intimidating and overwhelming. After all, what good is all that data if you can’t find the needle in the haystack? As organizations struggle to provide adequate resources, IT staff and data scientists to clean, scrub and prepare data, business users and management teams demand data democratization and the kind of access to data that is required if the organization is to move forward quickly and with confidence.

No enterprise has unlimited resources or an unlimited budget to hire staff to be at the ready to answer all data preparation and advanced analytical requests.

So, it is essential that the business find a solution that is cost-effective and one that business users can easily learn and use to perform Augmented Analytics, Assisted Predictive Modeling, Smart Data Visualization and Self-Serve Data Preparation without losing time and waiting for a skilled professional to help.

Gartner predicts that, data and analytics organizations that provide agile, curated internal and external datasets for a range of content authors will realize twice the business benefits as those that do not.

With augmented data preparation features, business users with average skills can perform data preparation and transform, shape, reduce, combine, explore, clean, sample and aggregate data, without the need for SQL skills, ETL or other programming language.

Rather than using complex data extraction, transformation and loading (ETL) tools, solutions that offer ETL for business users allow them to prepare data for analytics and quickly move data into the analytics system.

These sophisticated, intuitive tools let business users compile and prepare data for use in analytics to test hypotheses, visualize data and create and share reports with other users. Machine learning capability provides guidance to determine the best techniques and the best fit transformations for the data business users want to analyze, allowing for better understanding of data.

This approach is the most cost-effective, productive way to gather and prepare data for advanced analytics without wasting time or resources. Every analysis is unique and every data set requires a slightly different approach. If the business can provide easy-to-use tools, business users, data scientists, IT and managers can engage in the kind of analysis that will reap benefits and allow for confident decisions and productive users.

Original Post: Data Preparation Need Not Be Cumbersome or Time Consuming

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How Do I Ensure Citizen Data Scientist Success? https://www.elegantjbi.com/blog/2020/10/19/ensure-citizen-data-scientist-success/ https://www.elegantjbi.com/blog/2020/10/19/ensure-citizen-data-scientist-success/#comments Mon, 19 Oct 2020 08:00:52 +0000 https://www.elegantjbi.com/blog/?p=6602 Continued]]> how-to-support-your-citizen-data-scientist-programIdentify Citizen Data Scientists and Provide the Support They Need to Succeed!

When your business decides to begin a Citizen Data Scientist initiative, it faces numerous challenges but the resulting benefits the enterprise will reap from this program are undeniable. With the right preparation, every business can successfully enable this type of initiative and provide augmented analytics to improve collaboration, data literacy and digital transformation in the organization.

Citizen Data Scientist tools must be easy enough for business users to adopt and use on a daily basis for analysis and fact-based decision-making. While the right analytical tool should be easy to use with auto-suggestions and guidance to help the user get the most out of the data, the organization should allow for program champions and power user access so that users can get some guidance if they need it to get started and to gain confidence.

Businesses should consider simple, Citizen Data Scientist learning programs like this one: Citizen Data Scientist eLearning. This type of course material will introduce the relevant concepts, discuss changing roles and collaboration and cover basic analytical techniques and the application of these techniques within self-serve Augmented Analytics solutions. This type of training allows organizations to identify Citizen Data Scientist candidates and provide them with a simple, timely course to give them the confidence to participate in and support the initiative.

Contact Us to today or Click Here to begin your Citizen Data Scientist journey You can ensure that your team achieves success and that your business is ready for the future!

Original Post : How to Support Your Citizen Data Scientist Program!

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Out-of-the-Box Mobile BI Tools! https://www.elegantjbi.com/blog/2020/10/13/out-of-the-box-mobile-bi-tools/ https://www.elegantjbi.com/blog/2020/10/13/out-of-the-box-mobile-bi-tools/#comments Tue, 13 Oct 2020 10:29:05 +0000 https://www.elegantjbi.com/blog/?p=6599 Continued]]> mobile-bi-is-key-to-bi-tool-successChoose a Mobile Business Intelligence Solution for Your Business Users!

No software solution should be limited to desktops in today’s mobile environment. To make your team productive, you need to allow them to be mobile with all the important tools they use and there is no single crucial example of this that is more appropriate than business intelligence. If you want your business users to embrace and leverage self-serve business intelligence solutions, you need to be sure the solution you select is portable.

Mobile BI allows your users to access data on the road, working from home or in the office so that they can quickly gather data, analyze that data and get the answers they need to pursue the right action, make a change, solve a problem, identify an opportunity and share and report and present on data without the need to be in the office environment. That means your team will be more productive and you will optimize your resources.

Your team members are expected to do more with less, to perform at the highest level and to make the right decisions in a timely fashion. Mobile Business Intelligence will allow them to do that and to work in a flexible environment, at a client location, in a staff meeting, working at home or even digging into a problem in an airport or hotel.

And, when you are considering that