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Data quality is crucial to the success of business intelligence (BI) in an enterprise. There's always more data from new sources that needs to be pulled into BI systems, especially when big data is involved. Managing BI data quality is becoming more challenging as data varieties and sources increase.

This three-party guide offer advice on how to avoid BI mistakes. It outlines how to manage effective BI data quality projects, problems caused by poor data quality and the new BI data integration challenges.

Vendor:
TechTarget Business Analytics
Posted:
Feb 8, 2021
Published:
Jun 19, 2013
Format:
PDF
Type:
White Paper

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