Recently in Master Data Management Category

I am honored to be one of the co-moderators of the upcoming TDWI Solution Summit on Master Data, Quality, and Governance, to be held March 4-6 in Savannah, GA. I attended one of these events in the past, met a lot of people currently engaged in launching an MDM project, but this year I have helped to find some cases studies that focus on master data as a result of good data quality and governance techniques, not the driver. Please go to the web site and check it out, then apply to be a delegate! Hope to see you there!

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!

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.

I will be the guest speaker at an executive breakfast seminar in Boston on October 28^th 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!

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!