Tags: enterprise data management + data quality + data governance


  1. Suggests splitting data stewards into Business Data Stewards(semantics) and Source Data Stewards(Physical). Some split like this is needed as "steward" is too broad a role.

  2. Speaks of the need to perform enterprise data integration else you end up with silos after your tactical project. Analogous to MIKE's "Information development" concept.

  3. A 28 page paper with survey results. A good quality overview showing the current state of Data Governance.

  4. So far 28 articles in this series! The treatment of time is probably the most treacherous difference between the current generation of operational systems(for processing today's transactions) & a DataWarehouse. These authors propose to fix this at source.

  5. First 2 chapters are available as free download. Powerful and engaging book by a seminal figure in Information Quality.

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