Self-Serve Data Preparation is a critical component of augmented analytics. If these terms seem foreign to you, just know that they represent the future of business analysis. As organizations adopt self-serve business analysis, the business user with average technology skills must be able to leverage tools that are sophisticated, yet easy to use.
Terms like Advanced Data Discovery and Augmented Analytics can seem mysterious and daunting for the average organization. Managers, executives and IT staff may believe that business users cannot and will not adopt advanced analytics tools because these tools can only be used by data scientists, programmers or business analysts.
Smart Data Visualization is a crucial component of augmented data discovery. This critical feature enables sophisticated analysis with guided visualization tools that auto-recommend displays and data views based on data type, volume, dimensions, patterns and nature of data.
Hospitals and healthcare systems are turning to predictive analytics tools to plan and forecast and understand what, when and how to support patients.
If your organization is planning to implement advanced analytics tools or to democratize the use of data discovery tools, your IT staff and senior management are probably concerned about losing control of data access and about data security. Data governance is a real concern and it should not be minimized but there is no reason to change course and decide against data democracy just to accommodate data governance.
Self-Serve advanced analytics and data discovery software is an important competitive tool in today’s rapidly changing environment. Data resides in a lot of places within the organization and access to that data in an intuitive, integrated environment is important.
In this article, we will focus on the identification and exploration of data patterns and the trends that data reveals. The business can use this information for forecasting and planning, and to test theories and strategies. Let’s look at the various methods of trend and pattern analysis in more detail so we can better understand the various techniques.
If your business is looking for a comprehensive augmented advanced analytics solution, what are some of the critical factors to consider? OK, here goes!
Self-serve has many meanings. You can pump your own gas, you can serve yourself at a buffet, and sometimes you can even do your own data preparation. You will notice that I said ‘sometimes’. That is because you have to choose the right tool if you want to really participate in self-serve data preparation.
Augmented analytics, augmented data discovery, advanced data discovery…all of these terms can seem intimidating but they don’t have to be. In fact, it might be less intimidating to think of advanced analytics software as Smart Data Discovery. When you use that term, you acknowledge the most important factor in this process, namely that the software itself is ‘smart’ and that using advanced analytics tools is not a process that is limited to data analysts or data scientists.
