5 Requirements for Effective Self-Service Data Preparation

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Integrated Data Prep and Data Discovery

Data prep is typically an extremely iterative process where analysts are constantly moving data into a visualization tool only to realize that they need to make additional changes to the information. So, they go back into their prep solution, carry out the necessary modifications and then bring it back to the visualization tool. And traditional BI products typically only provide static dashboards of charts and graphs drawn from limited sets of structured, historical data.

Advanced data discovery solutions combine self-service data prep with visual data discovery, enabling analysts to simultaneously prepare and visualize data side-by-side in an interactive, intuitive visual analysis environment. Prepared data can be saved in a variety of native BI formats, so users can immediately visualize it in Tableau, Qlik, Excel or other analytics tools. Using this functionality, business users at any level can identify patterns and outliers, get answers quickly, and gain real-time operational intelligence from practically any data source.

Business Intelligence (BI) and Big Data analytics tools have fundamentally transformed the way organizations operate. Business leaders across industries now use Big Data analytics technology for a wide range of processes, objectives and management needs. And the potential applications of modern BI tools are practically endless, as virtually every aspect of operational management and strategic oversight can benefit from more powerful and rapid insights.

But while the technology is there, studies have shown that return on investment (ROI) has been elusive at best for the vast majority of adopters. In fact, business analysts claim that 80 percent of their time is spent preparing data for analysis, and they still never seem to have the information they need.

Self-service data preparation (prep) is a critical, yet often overlooked, factor in the analytics process. In this slideshow, Datawatch Corp, has identified five essential self-service data prep capabilities every analyst must be able to access to derive maximum value from analytics solutions and help their organizations make more meaningful and timely decisions.


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