Monday, April 18, 2016
01:30 PM - 04:45 PM
Too frequently, those considering implementing MDM overwhelmingly focus on data accumulation and integration into some presumed "golden record" destined to be a "single source of truth." This is ill-advised as it creates an artificially-conformed record that is likely to be inconsistent with all of the systems and sources of record, leading to confusion.
In this tutorial, designed for advanced MDM practitioners, we consider the practical aspects of operationalizing MDM while integrating it into the enterprise. We examine objectives of master data management from the perspective of the business process consumers of entity data and master indexes. We examine the consumption models: how master data is created, touched, and used, and configure our architecture in relation to how best to satisfy user expectations for the master entity index and the unified/composite view of entity data.
The consumption model drives the determination of MDM architecture styles, processes for ingestion and identity resolution, master data syndication, master data synchronization, and master data stewardship and governance. Assessing the use cases for master data informs the design, development plan, and roll-out program for MDM.
Attendees will learn to:
- Provide visibility into a composite, linked, shared view of all information associated with a uniquely identifiable entity that is relevant to the consuming application’s requirements.
- Identify the types of master data touch points.
- Provide resolution of unique identity associated with one or more records given a set of search attributes.
- Preserve integrity of original data managed within system of record.
- Characterize the data syndication and access methods and services.
- Catalog and demonstrate the use of keys or identifiers to be used for indexing or searching.
- Articulate the performance criteria for devising an acceptable level of service.
- Enable rendering of customized results based on consumer directives.
David Loshin is the President of Knowledge Integrity, Inc, (www.knowledge-integrity.com), a consulting company focusing on information management solutions (information quality, business intelligence, metadata, and data governance). David is among Knowledge Integrity’s recognized experts in information management, contributing to Intelligent Enterprise and DM Review, and is a channel expert for the Business Intelligence network (www.b-eye-network.com).
David's books include "The Practitioner's Guide to Data Quality Improvement" and "Master Data Management,” and his 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 has created courses for TDWI, DATAVERSITY, and any other number of venues, and is often asked to provide thought leadership to the Information Management Community.