We use cookies and other similar technologies (Cookies) to enhance your experience and to provide you with relevant content and ads. By using our website, you are agreeing to the use of Cookies. You can change your settings at any time. Cookie Policy.

Blog: David Loshin Subscribe to this blog's RSS feed!

David Loshin

Welcome to my BeyeNETWORK Blog. This is going to be the place for us to exchange thoughts, ideas and opinions on all aspects of the information quality and data integration world. I intend this to be a forum for discussing changes in the industry, as well as how external forces influence the way we treat our information asset. The value of the blog will be greatly enhanced by your participation! I intend to introduce controversial topics here, and I fully expect that reader input will "spice it up." Here we will share ideas, vendor and client updates, problems, questions and, most importantly, your reactions. So keep coming back each week to see what is new on our Blog!

About the author >

David is the President of Knowledge Integrity, Inc., a consulting and development company focusing on customized information management solutions including information quality solutions consulting, information quality training and business rules solutions. Loshin is the author of The Practitioner's Guide to Data Quality Improvement, Master Data Management, Enterprise Knowledge Management: The Data Quality Approachand Business Intelligence: The Savvy Manager's Guide. He is a frequent speaker on maximizing the value of information. David can be reached at loshin@knowledge-integrity.com or at (301) 754-6350.

Editor's Note: More articles and resources are available in David's BeyeNETWORK Expert Channel. Be sure to visit today!

This Forbes interview of Chevron CIO Denise Coyne suggests that a 2010 focus for the oil and gas giant is data quality, although the code words employed scream Master Data Management:

"... we're going to create a pilot enterprise project to consolidate all of that information in one place."

"We have lots of data about people in one organization, another database about people in another organization. Consolidating that information to have one source of the truth, to be able to make faster, more competitive decisions more quickly, is a really important focus in 2010."

It is great that Denise Coyne has recognized the potential business value of improved data quality. 

I do hope that this sentiment is not being driven by vendors/consultants pushing the purchase of a product (first) and a long implementation (second) followed by a realization that data requirements gathering is a necessity (third) and then a need for data governance practices (last, but really should be first)

As the CIO, she, of all people, should be aware of the potential complexity of migrating a federated, distributed organization with many organically-developed business applications (and probably thousands, if not tens of thousands of desktop data assets such as spreadsheets and databases) into "one source of truth." The "truth" is that it is highly unlikely that there is one source of truth. Rather, a reasonable focus on data governance and master data management would begin with understanding what business decisions are dependent on consolidated data, who in the organization is hampered by delays in serving reports based on consolidated data, and what steps can be taken to alleviate the negative business impacts. We have seen a number of initiatives focused on "single source of truth" evolve into data governance and data quality management programs when the delivery on the promises of the MDM tool vendors are impeded by the inability to simultaneously transform the organization via good information management practices.

Best of luck!

Meanwhile, my book on Master Data Management is now (Jan 20) on sale at 51% off the cover price, and I hope someone at Chevron buys one for Denise Coyne!

Posted January 21, 2010 7:01 AM
Permalink | 1 Comment |

1 Comment

We have seen that without people committed up and down the chain, buying an MDM tool doesn't solve the data quality problems. good points, David

Leave a comment


Search this blog
Categories ›
Archives ›
Recent Entries ›