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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!

Recently in Business Rules Category

Last week I had an interesting discussion regarding technical aspects of data cleansing, particularly in the context of acquired data. The challenge posed was that the organization needed to collect data sets from numerous sources with no ability to introduce any types of data controls or dat avalidations. In other words, the data they got was what it was, and if they wanted to use it, they'd have to clean it up themselves.

So the discussion led to talk about tools for cleansing, and I mentioned that most products today provide some means of parsing and standardization as  aprelude to entity resolution, matching, and consolidation. In fact, I will be continuing this discussion at a web seminar next week on Parsing and Standardization, and I hope you can attend!


Posted July 22, 2010 1:51 PM
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As part of working with a client on some technical aspects of their master data management program, I recently participated in a review of some of the record matching and linkage strategies being applied to consolidate data from a collection of source data systems. While listening to the conversations during the meetings, it occurred to me that without a reasonable understanding of how record linkage works, it is difficult to assess the suitability of an algorithm, business rules, or blocking strategies associated with any of the major duplicate analysis, matching engine, or MDM tools.

I suggested to the client that it would be worthwhile to know as much about linkage as the vendors do, and recommended Herzog, Scheuren, and Winkler's recent book on record linkage, "Data Quality and Record Linkage Techniques." This book is a really good resource to get an understanding of what record linkage is, how it works, and why it is important to a master data management activity, and the authors are well-known reserachers in the area of record linkage. Definitely worth reading, let me know what you think.


Posted August 27, 2009 7:30 AM
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My most recent articles dealt with simple business rules to be used for data validation generated a flurry of emails from people within the business rule and semantics community. One of the emails referred me to another blog site (as a matter of conscience, I will disclose that the blog is hosted at the Fair Isaac corporate web site) on "Enterprise Decision Management" that actually looked kind of interesting.

I am seeing a bunch of new three-letter acronyms, such as EDM (Enterprise Decision Management), EIM (Enterprise Information Management). Anyone else seeing news TLAs?


Posted February 28, 2006 10:24 AM
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