sponsored by IBM.
Posted:  12 Sep 2013
Published:  12 Sep 2013
Format:  PDF
Length:  15  Page(s)
Type:  eGuide
Language:  English

Ensuring that business intelligence data is accurate and consistent is crucial to the success of BI projects.

But, managing BI data quality is becoming more challenging as data variety and sources increase. The fact is that data quality demands never let up in business intelligence environments.

This three-part guide offers advice on how to avoid the continuous big data challenges.

Read on to learn more about:

  • Tips on managing effective BI data quality projects
  • The problems caused by poor data quality
  • New BI data integration challenges
  • And more!

Business Intelligence | Data Analytics | Data Management | Data Quality

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