DataFlux Presents Webcast on "The Next Steps of Master Data Management"

Release date: 2/27/2007

DataFlux Presents Webcast on "The Next Steps of Master Data Management"

WHAT: “The Next Steps of MDM: Modeling and Consolidating Master Data”

In this latest installment of his MDM webcast series presented by DataFlux, David Loshin, noted information management expert and president of Knowledge Integrity, discusses the importance of MDM modeling for consolidating master data into a managed environment.

Once your enterprise master data objects have been profiled and identified, what's the next step? To meet the objectives of an MDM initiative, data needs to be transformed and consolidated into a master data model. But that consolidation process relies on the ability to effectively automate the integration tasks – identity resolution, data instance matching, and determination of the best data. To facilitate this, it is critical to convert data into a consistent format, both for integration and as part of the central repository.

WHEN AND WHERE:  Webcast will be held Wednesday, February 28, 2007 at 1:00 p.m. EST

Interested parties can register at:
https://event.on24.com/eventRegistration/EventLobbyServlet?target=registration.jsp&eventid=38598&sessionid=1&key=661CD0646D8CF3F999DBBCB399E42167&sourcepage=register

PRESENTED BY: David Loshin, president of Knowledge Integrity, Inc., joined by Scott Gidley, co-founder and chief technology officer of DataFlux

Loshin is the President of Knowledge Integrity, Inc., a consulting and development company specializing in customized information management solutions that include information quality solutions consulting, information quality training and business rules solutions. He is the author of two books: Enterprise Knowledge Management - The Data Quality Approach (Morgan Kaufmann, 2001) and Business Intelligence - The Savvy Manager’s Guide. He is a frequent speaker on maximizing the value of information.

Gidley is a DataFlux founder and chief technology officer, working extensively on data quality and data integration projects. At DataFlux, he provides the technological vision for the company and consults with customers, analysts and internal staff to devise a roadmap for software enhancements. Prior to founding DataFlux, Scott worked in the Consulting Services division of Seer Technologies, where he was responsible for developing several financial systems for clients in the commercial banking and investment banking industries. Scott is a graduate of the University of Pittsburgh with a degree in computer science.