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Big Data Overload: Call for Business Metadata Governance

Have you ever been steered to a conclusion by a convincing analysis, only to see significantly different findings a week later? Maybe the underlying data feeds changed, or someone revised a minor calculation. But there is no quick way to tell and meanwhile the credibility of the analysis is gone.

This frustrating scenario is but one of the information governance issues confronting banks as the use of big data proliferates. Across the industry, institutions are working to tap the power of large-scale data analysis, but stumbling into all sorts of traps and inconsistencies as various analysts charge off in different directions: Data streams are managed inconsistently across business silos, with scant central oversight or documentation on how they are cleansed, refreshed and combined. Techniques for ...

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