DQ-View: Data Is as Data Does
Jim Harris in Books, Data Quality, Videos tagged DQ-View, Philosophy Thursday, January 5, 2012 at 3:00AM Data Quality (DQ) View is an OCDQ regular segment. Each DQ-View is a brief video discussion of a data quality key concept.
If you are having trouble viewing this video, then you can watch it on Vimeo by clicking on this link: DQ-View on Vimeo
The following list contains the books shown in the video, simply listed in the order they appeared on my book shelf:
- Customer Data Integration: Reaching a Single Version of the Truth by Jill Dyché and Evan Levy
- Master Data Management by David Loshin
- Master Data Management in Practice: Achieving True Customer MDM by Dalton Cervo and Mark Allen, who discussed it on OCDQ Radio: Master Data Management in Practice
- Master Data Management and Data Governance (Second Edition) by Alex Berson and Larry Dubov
- The Data Governance Imperative by Steve Sarsfield, who discussed it on OCDQ Radio: The Data Governance Imperative
- The Data Asset: How Smart Companies Govern Their Data for Business Success by Tony Fisher, who discussed a few concepts from the book on the Data Roundtable podcast: The Data Asset
- Making EIM Work for Business by John Ladley, who discussed it on OCDQ Radio: Making EIM Work for Business
- Data Driven: Profiting from Your Most Important Business Asset by Thomas Redman, who discussed a few concepts from the book on OCDQ Radio: Data Driven
- Executing Data Quality Projects: Ten Steps to Quality Data and Trusted Information by Danette McGilvray
- The Practitioner’s Guide to Data Quality Improvement by David Loshin
- Data Quality and Record Linkage Techniques by Thomas Herzog, Fritz Scheuren, and William Winkler
- Entity Resolution and Information Quality by John Talburt
- 101 Lightbulb Moments in Data Management: Tales from the Data Roundtable by Jill Dyché, Jim Harris, Dylan Jones, David Loshin, Joyce Norris-Montanari, Rich Murnane, and Phil Simon
Previous DQ-View Videos
You can also watch a regularly updated page of my videos by clicking on this link: OCDQ Videos
DQ-View: Baseball and Data Quality
DQ-View: Roman Ruts on the Road to Data Governance
DQ-View: The Poor Data Quality Blizzard
DQ-View: From Data to Decision
DQ View: Achieving Data Quality Happiness
Data Quality is not a Magic Trick
DQ-View: Is Data Quality the Sun?
DQ-View: Designated Asker of Stupid Questions
Reader Comments (1)
Hi Jim,
You've touched on a critical topic - data usage, or the intended use by a given business process.
Solvency II compliance requires insurance undertakings to demonstrate the data they use in their Solvency requirements modeling to be "as complete, accurate and appropriate as required for the intended usage".
Regards, Ken