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5 Requirements for Effective Self-Service Data Preparation

  • 5 Requirements for Effective Self-Service Data Preparation-

    Preparing Data for Analysis

    Click through for five essential self-service capabilities every analyst must be able to access to derive maximum value from analytic solutions and ensure their organizations makes meaningful and timely decisions, as identified by Datawatch Corp.

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5 Requirements for Effective Self-Service Data Preparation

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    5 Requirements for Effective Self-Service Data Preparation-1

    Preparing Data for Analysis

    Click through for five essential self-service capabilities every analyst must be able to access to derive maximum value from analytic solutions and ensure their organizations makes meaningful and timely decisions, as identified by Datawatch Corp.

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.