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Full Demo: IBM Cognos 8 Business Intelligence

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How data governance helps realize BI and analytics success

Modern business analytics promises to push organizations ahead of the competition. But often, that promise goes unrealized. It’s not enough to simply have an analytics strategy in place. It must be advanced, comprehensive, and supported by sound data governance policies. Only then can you uncover the insights your data contains and use them for strategic advantage. Download this e-book to get insights, ideas, and advice from 11 industry experts on topics like:

  • Making Sense from Nonsense with Data Governance
  • The Secret to (Finally) Making Your Analytics Project a Success
  • Balancing Governance and Empowerment in a World of Data Chaos

Read the e-book to explore the link between data governance and analytics, and discover why good data governance is essential to analytics success.

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  • Data governance can bridge the gap between IT and the business

    Data silos between IT and the rest of the business can hinder the kind of real-time analysis that enterprises need to thrive nowadays.

    A strong data governance program can help establish a common business vocabulary and tear down some of those silos, enabling the business to move quickly and efficiently.

    Explore how the IBM Information Governance Catalog can help business leaders collaborate more closely with IT, as well as other benefits that include:

    • Big data integration
    • Master data management (MDM)
    • Lifecycle management
    • Security and privacy initiatives

    IBM Privacy Statement    TechTarget Privacy Policy

  • Benefits of data modeling for the modern business

    Data modeling has never been more valuable than now. Modern enterprises have critical data that is structured and unstructured and lives both on premises and in the cloud.

    With all that data in so many forms and locations, businesses need a process to discover, analyze, represent and communicate data requirements.

    Delve into the benefits of data modeling for modern enterprises, including:

    • Effectively manage and govern massive volumes of data
    • Consolidate and build apps with hybrid architectures
    • Support expanding regulations, such as GDPR
    • And more

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