What is self-serve data preparation? It isn’t a method of making up data. It is a method of preparing data that allows the average business user to compile and analyze data without the assistance of a data scientist or an IT professional.
By providing sophisticated analytical features and algorithms in an easy-to-use self-serve environment, the enterprise enables business users to perform data preparation and test theories and hypotheses and prototype on their own. Rather than preparing data at the central meta-data layer, and restricting what business users can do and see, IT enabled (rather than IT controlled), self-serve data preparation allows users to compile and prepare data and use that data in analytics to test hypotheses, perform visualization and create and share reports, and create custom alerts and other information. Business users can control the data elements, the volume and the timing.
I am going to be blatantly trumpeting of our products, its road map and its usage in this article, and you are likely to get more value out of this than a book on analytics. My guess is that you will read ahead since you are a sceptic.
I vote for Data Democracy. Why? Because data belongs to everyone in your organization and if you can find a way to provide data democratization, and provide your business users with mobile BI tools, self-serve business intelligence, social BI tools and self-service data prep, your organization WILL reap the benefits.
ElegantJ BI is pleased to be a Silver Sponsor at the Gartner Data & Analytics Summit, which will be held on June 6 and 7, 2017 in Mumbai, India. The theme of the conference is ‘Lead in the Age of Infinite Possibilities’.
Nearly every organization has BI tools, but not every organization takes the Smarten approach to business intelligence. The components of the Smarten approach include self-serve data preparation and Plug n’ Play Predictive Analysis, both of which (when combined with Smart Visualization and Advanced Data Discovery tools) provide a sophisticated, yet easy-to-use, solution that supports business users and data scientists alike.
The Self-Serve Data Preparation trend is growing by leaps and bounds. Why? Well, there are a lot of reasons to like Self-Serve Data Preparation and Self-Serve Business Intelligence solutions. Here are just a few:
Consider the time and effort involved in the ‘old world’ of business intelligence data preparation! How on earth did we ever get anything done? Armies of data analysts and IT staff slaving over data, compiling, analyzing, graphing, charting, taking requests from managers and users and engaging in an endless exchange and interaction to assure that the requirements are understood and met. By the time the data analysis was delivered, it was old, sometimes incomplete and perhaps delivered in a form that might be misinterpreted by its audience.
Self-Serve is all the buzz! Whether you are checking yourself out at a grocery store, ordering your pizza in advance, reserving a seat in a restaurant, driving your car through the car wash or checking out at the hardware store, you just want to do it and get it done! Time is of the essence and usually you are the best person to decide what you need and when you need it. Am I right?
In this white paper, we will discuss the emergence and importance of Citizen Data Scientists and the role of self-serve data preparation, smart data visualization and plug n’ play predictive analysis in transforming business users into Citizen Data Scientists. The wise organization must establish a data environment that integrates data from disparate sources, and presents sophisticated, yet easy-to-use tools that will lead business users in the right direction with tools that offer recommended report presentations and visualization formats and clearly identify trends and patterns to mitigate bad data assumptions and interpretations.
