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5 Requirements for Effective Self-Service Data Preparation

  • 5 Requirements for Effective Self-Service Data Preparation-

    Risk and Governance Controls

    The move to self-service data prep is all about speed and agility for the business user. But for IT, it means limited oversight, and with that comes increased risk. Most organizations have robust strategies to govern data that resides in managed systems like enterprise applications and data warehouses, but lack an approach to protect information pulled from multi-structured or unstructured sources. IT must be able to know how and when all data is accessed, who is authorized to see it and what changes are being made.

    Data prep solutions should address governance risks by securely storing, managing and controlling access to source content, prepared data, reusable extraction and prep models, and created visualizations and dashboards – without impeding self-service analytics processes. The most useful data prep technology bridges the gap between the ease-of-use and flexibility that business users demand and the governance, automation and scalability needed by IT.

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5 Requirements for Effective Self-Service Data Preparation

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  • 5 Requirements for Effective Self-Service Data Preparation-6

    Risk and Governance Controls

    The move to self-service data prep is all about speed and agility for the business user. But for IT, it means limited oversight, and with that comes increased risk. Most organizations have robust strategies to govern data that resides in managed systems like enterprise applications and data warehouses, but lack an approach to protect information pulled from multi-structured or unstructured sources. IT must be able to know how and when all data is accessed, who is authorized to see it and what changes are being made.

    Data prep solutions should address governance risks by securely storing, managing and controlling access to source content, prepared data, reusable extraction and prep models, and created visualizations and dashboards – without impeding self-service analytics processes. The most useful data prep technology bridges the gap between the ease-of-use and flexibility that business users demand and the governance, automation and scalability needed by IT.

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.