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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!

I will be presenting at a webinar hosted by Talend on December 2 at 2:00PM EDT, 11:00AM PDT on Fundamtental Techniques to Maximize the Value of Your Enterprise Data. In this presentation I will discuss the convergence of the value of three interconnected techniques: master data managemetn, data integration, and data quality. As data repurposing grows, so do the challenges in centralizing semantics, and we wil look at some common challenges. Join me on Dec 2!

Posted November 29, 2010 12:56 PM
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Just published! My new book on data quality improvement, called The Practitioner's Guide to Data Quality Improvement was released a few weeks ago and is now available. The book provides practical information about the business impacts of poor data quality and provides pragmatic suggestions on building your data quality roadmap, assessing data quality, and adapting data quality tools and technology to improve profitability, reduce organizational risk, increase productivity, and enhance overall trust in enterprise data.

I have an accompanying web site for the book at www.dataqualitybook.com. At that site I am posting my ongoing thoughts about data quality (and other topics!) and you can download a free sample chapter on data quality maturity!

Please visit the site, check out the chapter, and let me know your thoughts by email: loshin@knowledge-integrity.com.


Posted November 10, 2010 1:45 PM
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If you have read my articles and blog entries over the years, you may know that I have a real fondness for geographic-based data analysis. I have loved maps since I was a kid (when I was in elementary school I used to visit all the local gas stations when they used to hand out road maps free). Today, with the ubiquity of handheld GPS systems, location-bsaed services are rapidly becoming a critical component to any enterprise information management program.

 

I just finished a paper on location-based services and am doing a webinar on it this Thursday. Register at http://bit.ly/cO82dv. I am looking forward to seeing you at the webinar!


Posted October 26, 2010 3:37 AM
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I will be the guest speaker at an executive breakfast seminar in Boston on October 28th to discuss the critical link between Data Quality, MDM and Data Governance. If you are interested in attending, please register through http://bit.ly/cM5q7k - looking forward to seeing you there!


Posted October 15, 2010 8:56 AM
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They say that data integration accounts for 80% of the effort of a data warehousing (or a variety of other enterprise application's) effort. But who are "they"? I know that the figure is often presented as the typical resource and time investment for data integration activities, but have not tracked down a source for it. I seem to recall seeing it in some data warehousing book, but do not remember which one.

 

Nonetheless, there is no reason for data integration to consume that amount of effort if the right steps are taken ahead of time to reduce the comfusion and complexity of ambiguous semantics and structure. I will discuss these issues at a webinar this Thursday, August 12 - hope you can make it!


Posted August 10, 2010 6:05 AM
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