Gartner has predicted that, ‘90% of corporate strategies will explicitly mention information as a critical enterprise asset and analytics as an essential competency.’ Establishing the strategy is one thing, but getting business users to adopt an analytics and information-based business workflow is quite another.
‘Modern business intelligence tools that are designed with self-serve features makes it easy enough for every user (no matter their technical skill) to leverage analytics to report, share and collaborate.’
When it comes to teams, there are two things that are always true: 1) they learn a process and workflow and rarely want to change that familiar process and 2) they are always suspicious of ‘new’ initiatives and nearly always believe that these new initiatives will result in more work for them. There is a reason your team resists new processes and initiatives and that reason is simple. Usually, their fears are warranted!
So, if you want to engender support for new analytics initiatives and engage a business community in fact-based, action-oriented initiatives, you need to plan this new initiative with your users in mind.
In this article, we focus on two of the primary components of a new business user analytics initiative.
Self-Serve BI Tools
Modern business intelligence tools that are designed with self-serve features like smart data visualization, self-serve data preparation and assisted predictive modeling make it easy enough for every user (no matter their technical skill) to leverage analytics to report, share and collaborate. By adding value to the user’s everyday tasks and reducing the rework and issues they will confront, you can encourage your users to adopt analytics initiatives.
- Any promotion of analytics strategy must clearly illustrate business use cases and benefits of these tools.
- Support a more productive, streamlined environment that will allow them to do more with less and get the job done quickly.
- Ensure that business users can collaborate and share and grow their own expertise and visibility.
- Provide measurable results and information to make recommendations and support those recommendations.
Cross-Tab Analytics Capabilities
Those self-serve tools should include reporting and graphical tools that are clear and concise. Business users don’t want tools that produce complex reports filled with columns and mind-numbing numbers that do not help them reach a decision or illustrate an issue. Cross-tab analytics have been around for some time but the new, improved versions of this capability provides real insight into data in a way that is clear for every user. Sophisticated functionality is underpinned with easy-to-use tools so users can analyze the relationship between or among two or more variables and summarize data in rows and columns making it easy to understand the relationships and intersection of the various types of data. Understanding relationships in data is crucial to identifying the root cause of a problem or to targeting an issue or identifying a business opportunity. Your team members can work with multi-dimensional data and perform ad-hoc queries to gain a clear view of performance, dive into your data, and find and understand the data they need quickly and intuitively. Cross-tab analysis simplifies complex data operations, summary operations, time series functions, filters and custom column expressions and enables business users with simple tools they can really use.
‘If you want to engender support for new analytics initiatives and engage a business community in fact-based, action-oriented initiatives, you need to plan this new initiative with your users in mind.’
Business Intelligence tools can improve your business results. If your business understands the challenges of implementing a business intelligence solution and adequately plans for implementation and user adoption, it can leverage the benefits of these tools and solutions and ensure success. Let us help you achieve your vision and improve productivity and insight across the organizationShare