Customer data is hugely important to the business of doing business today. But customer data quality and management, as well as the integration of systems, are major issues for CRM professionals and the discipline of records management.
In this video, Holly Group's Steve Weissman discusses how data quality hinges on creating data consistency and coherence though such methods as metadata and tagging. Using these data management tools can help to integrate disparate data sources and aid in identifying metrics to gauge the success -- and failure -- of customer data quality efforts. Weissman also discusses the relationship between records and data quality.
According to Weissman, data quality and records management "really do go hand in glove. It's really about making sure that the information you have in your customer database is correct … and beyond being correct, consistent."
For more on customer data quality:
Better data quality process begins with business processes
Data quality training sets stage for business-user involvement
Data quality process needs all hands on deck