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Big data, advanced analytics tools grow as IT priorities

TechTarget's 2015 IT Priorities Survey shows that while businesses are still investing in basic BI and data warehousing capabilities, big data initiatives are becoming almost as prevalent.

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Shared data vocabulary aids in creating info order

Strong data governance is needed to maximize the value of business intelligence efforts -- and that starts with a common set of data definitions, consultant Wayne Eckerson says.

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New security proposals leave businesses wanting more

President Barack Obama has introduced proposals for data security, but not everyone thinks they will address key questions for businesses.

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Talking Data: What's up with analytics in the cloud?

Some technology vendors and commentators are betting that the time has come for analytics in the cloud. In this edition of Talking Data we put that notion to the test.

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Business Analytics/Business Intelligence Basics

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    in-memory analytics

    In-memory analytics queries data residing in a computer’s random access memory (RAM) rather than data stored on physical disks. This results in vastly shortened query response times.

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    ensemble modeling

    Ensemble modeling is the process of running two or more related but different analytical models and then synthesizing the results into a single score or spread in order to improve the accuracy of predictive analytics and data mining applications.

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    Don't get boxed in on big data systems: Think wide data

    To get maximum business value from big data analytics efforts, users should look to incorporate a mix of structured and unstructured information -- think of it as wide, not merely big, data.

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