Top 5 tips to overcome data quality issues

Improve Your Self-Service Analytics Credibility with Data Quality

Cover

In the journey to become more data-driven in decision making, companies seek unprecedented democratization of data and adoption of self-service analytics.

But inaccurate data undermines the powerful value of self-service analytics, so you must be sure you data quality is up-to-par.

Learn:

  • Common data quality issues and how to prevent them
  • Recommendations for improving data quality   
  • How to build a case for data quality tools
  • Popular data quality vendor technology
  • Top 5 tips to overcome data quality issues 
Vendor:
Pyramid Analytics
Posted:
24 Apr 2017
Published:
24 Apr 2017
Format:
PDF
Length:
9 Page(s)
Type:
White Paper
Language:
English
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