Metatopia Conference 2007

Principal MDM Components and Capabilities

David Loshin David Loshin
President
Knowledge Integrity, Inc.


Monday 1:15pm - 4:30pm

Level: Data Management - Intermediate

The proliferation of enterprise-level application expectations for shared, synchronized information drives the need for the development of a single view of the key data entities in common use across the organization. At the technical level, the drivers and fundamentals of master data management (MDM) can be summarized as processes for consolidating variant versions of instances of core data objects distributed across the organization into a unique representation. In turn, that unique representation is continually synchronized across the enterprise application architecture to allow master data to be available as a shared resource. The result is a master repository of uniquely identified key data entity instances integrated through a service layer with the applications across the organization.

However, the devil is in the details. In order to accomplish what may seem to be a relatively straightforward set of ideas, the organization must be prepared for the technical, operational, and management challenges that will appear along the way. And in fact, the deployment of an MDM solution could evolve through a number of iterations, introducing data object consolidation for analytic purposes as an initial step, then following on with increasing levels of integration, service, and synchronization.

The end-state master data management environment exists as an enterprise resource integrated with the enterprise application architecture through a collection of provided services. This tutorial reviews the components and capabilities needed to develop an MDM solution that can mature along with the needs of the client enterprise applications with which it is integrated.
Speaker Bio
David Loshin is the president of Knowledge Integrity, Inc, focusing on customized information management solutions including information quality, metadata, and data standards management. David is among Knowledge Integrity’s recognized experts in information management, contributing to Intelligent Enterprise, writing a monthly column for DM Review between October 2002 and December 2005, is a quarterly featured columnist for the Data Administration Newsletter (www.tdan.com), and is the channel expert of the B-EYE-Network’s Information Quality and Data Integration channel. David’s book, “Business Intelligence: The Savvy Manager’s Guide” (June 2003) has been hailed as a resource allowing readers to “gain an understanding of business intelligence, business management disciplines, data warehousing, and how all of the pieces work together.” David also wrote “Enterprise Knowledge Management – The Data Quality Approach,” which describes a revolutionary strategy for defining, managing, and implementing business rules affecting Enterprise-wide information quality management. In addition, David has created courses for The Data Warehousing Institute (www.tdwi.org), has presented at the annual DAMA/Meta Data conference, has taught tutorials on data quality at a number of venues, and as a representative of Knowledge Integrity is often called upon to provide insights and thought leadership to the Information Management community.
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