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Party Data Quality Management for CRM

Party data quality in customer relationship management

Poor data quality is often cited as a problem that prevents organizations from getting the full value from their investment in CRM. In all cases the best place to start with diagnosis is to determine if there is any formal way to measure quality in place.
  • Are there regularly applied measurements for completeness and accuracy?
  • Are reports compiled and distributed?
  • Is there a defined process to prioritize issues and manage resolution?
The next area to examine is relationship detection and matching.
  • Is there a well understood definition of what constitutes a customer?
  • Are there definitions for customer types and relationships between parties?
  • Are the rules for the matching process defined? Can they be accessed and changed?
  • Are there measurements that describe the accuracy of the matching process?
  • Is there a written definition of how data about the same party is merged together from different sources?
  • When external reference data is appended is there any information available about the accuracy of the enrichment process?
  • Is there an interface for business people to review matches and formally manage relationships between parties including hierarchies?
  • Do the people who use the party data believe the data is relevant and accessible?
  • Does the CRM business function participate in an enterprise data governance process?

 

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