MIT Information Quality Industry Symposium 2007

Transcription

1 MIT Information Quality Industry Symposium 2007 (MIT 2007 IQIS) Cambridge, Massachusetts, USA July 2009 Editors: Peter Aiken John Talburt Richard Wang ISBN: ISSN:

2 Printed from e-media with permission by: Curran Associates, Inc. 57 Morehouse Lane Red Hook, NY Some format issues inherent in the e-media version may also appear in this print version. Copyright (2007) by the MIT Information Quality Program All rights reserved. Printed by Curran Associates, Inc. (2012) For permission requests, please contact the MIT Information Quality Program at the address below. MIT Information Quality Program Attn: Dr. Richard Wang 225 Crafts Road Chestnut Hill MA Phone: (617) Additional copies of this publication are available from: Curran Associates, Inc. 57 Morehouse Lane Red Hook, NY USA Phone: Fax: Web:

3 TABLE OF CONTENTS SESSION 1A: HEALTH CARE INDUSTRY... 1 Evolving Data Quality Management Capabilities in Complex Organizations: The Health Care Case... 2 Bruce N. Davidson Galaxy Data Quality Program MIT IQ Industry Symposium... 8 Laura Sebastian-Coleman Innovation in ETL Transforming Raw Data into the Building Blocks of Intelligence SESSION 1B: FEDERAL DATA ARCHITECTURE Authoritative Data Source Strategy Overview Suzanne Acar, Adel Harris HUD s Enterprise Data Management Practice (EDMP) Today RBC Capital Markets - Institutionalized Impediments to Data Quality SESSION 1C: IQ GOVERNANCE Compliance - A Catalyst for the Data Quality Movement How to Create an Information Quality Management Council Linda Kresl Designing a Data Governance Framework to Enable and Influence IQ Strategy Elizabeth Pierce SESSION 1D: TUTORIAL Deming s 14 Points of Quality Applied to Information Quality Management Larry P. English SESSION 1E: PRODUCT DEMONSTRATION Entity Resolution within Memory-based Analytics Manny Aparicio SESSION 1F: WHY IQ MATTERS: A CASE FOR CHANGE SESSION 2A: PHARMACEUTICAL INDUSTRY PRACTICE Challenges and Opportunities in Clinical Trial Data Processing Vadim Tantsyura, Olive Yuan, Sergiy Sirichenko Information Quality for Clinical Knowledge Representation Kuan-Tsae Huang Turning Master Data Governance Into a Business Process Robert Klein

4 SESSION 2B: MANAGING INFORMATION AS A NATIONAL ASSET U.S. Federal Enterprise Architecture Data Reference Model (FEA DRM): Managing Data As A National Asset Suzanne Acar U.S. Federal Enterprise Architecture Data Reference Model (FEA DRM): Data Governance Strategy Suzanne Acar, Adel Harris Federal Data Architecture - Definitions and Structure Michael Reed Role and Impact of Information Quality in the Department of Defense Net-Centric Environment Willa Pickering SESSION 2C: BUSINESS BENEFITS OF THE IQ PROGRAM Business Benefits of an IQ Program Steve Sarsfield Justifying the Investment in Information Quality Woo Young Chung Business Benefits of an IQ Program Regina Rohe The ORME Project - A New Methodology for Information Quality and Operational Risk Angelo Basile SESSION 2D: TUTORIAL Turning Data into Knowledge: Creating and Implementing a Meta Data Strategy Anne Marie Smith SESSION 2E: PRODUCT DEMONSTRATION Acxiom s Data Quality Scorecard Solution Acxiom s Data Quality Management Solution B.D.Q.S. - Why We Use It at A.I.D Brigitte Laboisse, Olivier Coppet SESSION 2F: JOB PLACEMENT SERVICE SESSION 3A: CRM PRACTICE & STANDARDS Data Quality and Customer Data Integration (CDI) An Accord - Mesure de la Qualité des Données CRM Brigitte Laboisse Data Quality at D&B: A Best Practices Approach in Data Measurement and Management Chapin Flynn HP Customer Relationship Management (CRM) Sue Stitt SESSION 3B: FEDERAL DATA QUALITY PROCESS DOD Supply Chain Data Quality Rich Hansen, Jocelyn Anderson

5 Data Quality Processes: Insurance Against Negative Operational Impacts Fred Nannarone Information Quality & Service Oriented Architecture David Becker Using International Standards to Drive the Federal Data Quality Process SESSION 3C: GERMAN DGIQ AND EUROPEAN EIDIQ ADVANCES Information Quality Fast and Simple Michael Mielke IQM Simulation Reports Michael Mielke Curriculum Information Quality Jens Lüssem SESSION 3D: TUTORIAL SESSION 3E: PRODUCT DEMONSTRATION & TUTORIAL SESSION 3F: FAST SEARCH AND TRANSFER Applying Search Technology to Data Matching, Consolidation, and Cleansing Jeff Fried Linguistic Data Cleansing Case Studies Damien Islam-Frénoy Demonstrations of Linguistic Data Matching, Consolidation, and Cleansing Jeff Fried SESSION 4A: SUCCESS STORIES & LESSONS LEARNED CRM Lessons Learned Peter Kaomea, Tandum Lett MIT IQ Industry Symposium Jarl S. Magnusson SESSION 4B: ENTERPRISE DATA MANAGEMENT Solutions from the Data Up Chuck Backus Enterprise Data Validation Architecture (EDVA): Fixing Data Quality for Enterprise Interoperability William McMullen Data Quality, An Enterprise Principle and Practice Chris Michel SESSION 4C: IQ DEGREE PROGRAMS IN THE WORLD Information Quality Curriculum Development- An International Perspective

6 Information Quality Programs: An International Perspective of the Current State of Curriculum Development - Preliminary Summary Master of Science Degree in Information Quality at the University of Arkansas at Little Rock John Talburt, Elizabeth Pierce, Richard Wang, Yang Lee, Hongwei Zhu Information Quality at the University of Westminster, London, UK Tereska Karran Information Quality: A New Academic Program at the University of Westminster Tereska Karran, Charles Poulter, Patrick Lees Data Quality in Information Systems Marist College Programs (Related to IS, MIS, IT, TM & IQ) Teaching Information Quality Skills in a Business Informatics Programme Markus Helfert SESSION 4D: TUTORIAL Expanding Your Notion of Data Quality Challenges John Sells Service Oriented Architecture John Walsh SESSION 4E PRODUCT DEMONSTRATION Data Quality Management and Financial Services Loretta O Connor MITIQ Symposium Contributor Biographies MITIQ Symposium Call For Papers Author Index