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!Share