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Forrester Consulting Total Economic Impact Study

IBM InfoSphere Optim Solutions for Data Lifecycle Management

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Bloor Research: Exploring Successful Approaches to Test Data Management

Learn how test data management provides a key strategic advantage compared to traditional ad hoc methods for managing test data.

IBM

Business Driven Governance: Managing Policies for Data Retention

Many organizations still turn a blind eye to information governance issues, and rely instead on IT to keep adding storage capacity as a way to ‘manage’ data growth, often past the budgeted limits.

IBM

Back to basics: Fundamentals of test data management

Business moves fast—which means that software development teams need to move even faster. Learn how InfoSphere Optim Test Data Management Solution can help!


  • IBM

    Making the case for data lifecycle management

    A must-have element for business transformation in a data-driven world
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  • IBM

    Benefits of data archiving in data warehouses

    Manage high-volume data growth cost-effectively, and avoid performance degradation
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The Forrester TEI Methodology is an Established IT ROI Framework Focused on Impact Beyond Costs...

Total Economic Impact Study: IBM InfoSphere Optim Solutions for Data Lifecycle Management

Forrester Consulting examines the total economic impact and potential return on investment (ROI) that organizations may realize by deploying IBM InfoSphere Optim data lifecycle management solutions for Data Growth and Test Data Management. Through in-depth interviews with existing IBM customers, Forrester uncovered common themes that guided the analysis in this study


  • The fundamentals of data lifecycle management in the era of big data

    How data lifecycle management complements a big data strategy
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  • Gartner Magic Quadrant for Data Masking Technology

    IBM is the leader in Gartner's Magic Quadrant
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  • Forrester Consulting Total Economic Impact Study

    IBM InfoSphere Optim Solutions for Data Lifecycle Management
    Get the analyst report


  • Wrangling big data: Fundamentals of data lifecycle management

    Learn how effective data lifecycle management strategies can reduce the cost of managing large volumes of data and reduce the risk involved in organizing and protecting that data, helping you corral big data into a manageable, dependable enterprise resource.
    Get the ebook


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