| Title | Pages | |
|---|
Proceedings Introduction
Peter Aiken, John Talburt, & Richard Wang, Editors | 7 |
|
Evolving Evolving Data Quality Management Capabilities Data Quality Management Capabilities in Complex Organizations: The Health Care Case
Bruce N. Davidson, Ph.D., M.P.H. | 51 |
|
Authoritative Data Source
Strategy Overview
Suzanne Acar & Harris Adel Harris | 14 |
|
HUD’s Enterprise Data Management
Practice (EDMP) Today
Mark Amspoker | 11 |
|
Institutionalized Impediments to Data Quality
Burton Cutting | 6 |
|
Organizational DM Functions and their Inter Organizational DM Functions and their Inter-relationships
Peter Aiken | 3 |
|
Compliance A Catalyst for the Data
Quality Movement
Donald Carlson | 11 |
|
How to Create an Information Quality Management Council
Linda Kresl | 34 |
|
Designing a Data Governance Framework to Enable and Influence IQ Strategy
Liz Pierce | 22 |
|
Deming's 14 Points Applied to IQ
Larry English | 36 |
|
Entity Resolution within Memory-based Analytics
Manny Aparicio | 28 |
|
Challenges and Opportunities in Clinical Trial Data Processing
Vadim Tantsyura, Olive Yuan, Ph.D., & Sergiy Sirichenko | 26 |
|
Information Quality for Clinical Knowledge Representation
Kuan-Tsae Huang, Ph.D. | 22 |
|
Turning Master Data Governance Into a Business Process
Robert Klein | 15 |
|
U.S. Federal Enterprise Architecture Data Reference Model (FEA DRM): Managing Data As A National Asset
Suzanne Acar | 16 |
|
U.S. Federal Enterprise Architecture Data Reference Model (FEA DRM): Data Governance Strategy
Suzanne Acar & Adel Harris | 15 |
|
FEDERAL DATA ARCHITECTURE Definitions and Structure
Michael F. Reed | 15 |
|
Role and Impact of Information Quality in the Department of Defense Net-Centric Environment
Willa Pickering, Ph.D. | 16 |
|
Objectives of Session 2C Business Benifits of IQ Program
Donald Carlson | 1 |
|
Business Benefits of an IQ Program
Steve Sarsfield | 8 |
|
Justifying the Investment in Justifying the Investment in Information Quality
Woo Young Chung | 10 |
|
Business Benefits of an IQ Program
Regina Rohe | 8 |
|
The ORME Project A NEW METHODOLOGY FOR INFORMATION QUALITY AND OPERATIONAL RISK
Angelo Basile | 13 |
|
Turning Data into Knowledge: Creating and Implementing a Meta Data Strategy
Anne Marie Smith, Ph.D. | 53 |
|
Acxiom’s Data Quality Scorecard Solution
Eric Nelson | 32 |
|
Acxiom’s Data Quality Management Solution
Eric Nelson | 2 |
|
B.D.Q.S.: Why we use it at A.I.D.
Brigitte Laboisse & Olivier Coppet | 12 |
|
CRM Practice & Standards
Olivier Coppet | 2 |
|
Data Quality and Customer Data Integration (CDI)
Joanne Branscum & John Talburt | 21 |
|
An “Accord” Mesure de la qualité des données
Brigitte Laboisse & Olivier Coppet | 11 |
|
Data Quality at D&B: A Best Practices Approach in Data Measurement and Management
Chapin Flynn | 12 |
|
HP Customer Relationship Management (CRM)
Sue Stitt | 9 |
|
DOD Supply Chain Data Quality
Richard Hansen & MAJ Jocelyn Anderson | 24 |
|
Data Quality Processes: Insurance Against Negative Operational Impacts
Fred Nannarone | 17 |
|
Information Quality & Service Oriented Architecture
Dave Becker | 31 |
|
Using International Standards to drive the Federal Data Quality Process
Peter Benson | 17 |
|
Information Quality Fast and Simple
Michael Mielke | 10 |
|
IQM Simulation Reports
Michael Mielke | 11 |
|
Curriculum Information Quality
Jens Lüssem | 19 |
|
Applying search technology to data matching consolidation matching, consolidation, and cleansing
Jeff Fried | 24 |
|
Linguistic Data Cleansing Case Studies
Damien Islam-Frénoy | 10 |
|
Demonstrations of linguistic data matching consolidation matching, consolidation, and cleansing
Jeff Fried | 13 |
|
Session 4A: Success Stories and Lessons Learned
Surya Yadav, Moderator | 3 |
|
CRM Lessons Learned
Peter Kaomea & Tandum Lett | 10 |
|
Success Stories and Lessons Learned
Jarl S. Magnusson | 18 |
|
Session 4B Enterprise Data Management
David Becker, Moderator | 4 |
|
Solutions… from the Data Up
Chuck Backus | 28 |
|
Enterprise Data Validation Architecture (EDVA): Fixing Data Quality for Enterprise Interoperability
Bill McMullen | 25 |
|
Data Quality, An Enterprise Principle and Practice
Chris Michel | 8 |
|
INFORMATION QUALITY CURRICULUM DEVELOPMENT AN INTERNATIONAL PERSPECTIVE
Andy Koronios | 29 |
|
INFORMATION QUALITY PROGRAMS: AN INTERNATIONAL PERSPECTIVE OF THE CURRENT STATE OF CURRICULUM DEVELOPMENT
John Talburt | 7 |
|
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 | 9 |
|
Information Quality at the University of Westminster, London, UK
Tereska Karran | 10 |
|
Information Quality A New Academic program at the University of Westminster
Tereska Karran, Charles Poulter, & Patrick Lees | 8 |
|
Data Quality in Data Quality inInformation Systems
Craig Fisher | 13 |
|
Marist College Programs (Related to IS, MIS, IT, TM & IQ)
| 3 |
|
TEACHING INFORMATION QUALITY SKILLS IN A BUSINESS INFORMATICS PROGRAMME
Markus Helfert | 5 |
|
Expanding Your Notion Expanding Your Notion of Data Quality of Data Quality Challenges Challenges
John John Sells | 31 |
|
Service Oriented Architecture
John Walsh | 16 |
|
Data Quality Management and Financial Services
Loretta O’Connor | 22 |
|
Presenter Biographies
| 27 |
|
