June 3-7, 2019, San Diego, CA

Data Policies can and SHOULD be defined in all components of the Data ecosystem: Storage, Architecture, Reference Data, Entities, Classification, Security, Integration, Sourcing and Quality. However, most practitioners struggle to find the glue and catalyst for these Policies to move from words to action.
This presentation reviews organizations who have aligned their policies to Business Objectives but motivated them to action in measuring Data Quality. In pursuing Data Quality as the scorecard, Data Policies take life to help achieve the larger organizational goal. Likewise, ineffective policies will be refactored, rather than ignored, to create laudable objectives with unquestionable return.
Learning…