Big Data Quality: Garbage In, Gold Out
Data Certification Confirms Trust Of Data And Insight
April 9, 2014
Why Read This Report
As if organizations weren't already challenged by data quality, in comes big data. Increasingly, organizations are thinking of big data for more than sandboxing data exploration and predictive analytics. Big data tools and techniques are moving to the front office in the form of next-best actions for customer engagement, fraud detection, and process automation. As this happens, the risks from dirty or untrusted data can increase. Data professionals are asking what a data quality program looks like in a big data environment. This inquiry spotlight introduces data certification as a best practice to address big data quality.
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Table of Contents
- Big Data Forces A Rethink In Data Quality Programs
- Data Quality Must Shift Toward Data Certification
- Define The Seal Of Approval For Data And Insight
- Experiment With Data To Define Trust
WHAT IT MEANS
- Data Certification Turns Trust On Its Head
- Supplemental Material
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