| Title | Pages | |
|---|
Barclays Bank Case Study: Using Artificial Intelligence to Benchmark Organizational Data Flow Quality
Adrian McKeon | 4 |
|
Data Integration & Information Quality: Case Studies Addressing Interface Risk
Andy Zone & Mark Houston | 3 |
|
Conducting an Information Product Competitor Analysis: Case Study
Wyndolyn Smith-Adams & John R. Talburt | 3 |
|
A Multidimensional Model for Information Quality in Cooperative Information Systems
Paolo Missier & Carlo Batini | 16 |
|
Evolving Knowledge: Empowering Information Users
Andreas Neus | 10 |
|
Theoretical Framework for Defining Validity and Quality in Modeling
Fatma Mili & Krish Narayanan | 13 |
|
Effect of Dirty Data on Analysis Results
Dominique Haughton, Mary Ann Robbert, Linda P. Senne & Vismay Gada | 16 |
|
Analyzing Data Quality Investments in CRM: A Model-based Approach
Markus Helfert & Bernd Heinrich | 16 |
|
Process Knowledge and Data Quality Outcomes
Yang W. Lee & Diane M. Strong | 11 |
|
Quality Criteria of Content-driven Websites and their Influence on Customer Satisfaction and Loyalty: An Empirical Test of an Information Quality Framework
Martin J. Eppler, Rene Algesheimer & Marcus Dimpfel | 13 |
|
Authenticity of Information in Cyberspace: IQ in the Internet, Web, and e-Business
Abrar Haider & Andy Koronios | 12 |
|
Incredible Information On Internet: Biased Information Provision And A Lack Of Credibility As A Cause Of Insufficient Information Quality
Gernot Graefe | 14 |
|
Data Quality Based Applications Testing
Mark Ofori-Kyei, Troy Lamoreaux, Padma Kulkarni, Rich Thompson & Sai Kalapala | 5 |
|
Data Diagnosis: Making DQ Assessment Work
Nigel Totterdell | 4 |
|
Pursuing a Career in Information Quality: The Job of the Data Quality Analyst
Elizabeth M. Pierce | 9 |
|
Shared System for Assessing Consumer Occupancy and Demographic Accuracy
John R. Talburt & Greg Holland | 12 |
|
A Relevant, Believable Approach for Data Quality Assessment
G. Shankar & Stephanie Watts | 12 |
|
A Comparative Study of Data Mining Algorithms for Network Intrusion Detection in the Presence of Poor Data Quality
Eitel J.M. Lauria & Giri K. Tayi | 12 |
|
Record Matching for a Large Master Client Index at the New York City Health Department
Andrew Borthwick | 5 |
|
ClueMaker: A Language for Approximate Record Matching
Martin Buechi, Andrew Borthwick, Adam Winkel & Arthur Goldberg | 17 |
|
A Data Quality Framework for Small Businesses
Peggy Leonowich-Graham & Mary Jane Willshire | 6 |
|
The Challenge of International Data Quality and Unicode
Vish Vishwanath | 4 |
|
Data Quality in Genome Databases
Heiko Muller, Felix Naumann & Johann-Christoph Freytag | 16 |
|
A Flexible Quality Framework for Use within Information Retrieval
M. S.E. Burgess, W. A. Gray & N. J. Fiddian | 17 |
|
Extracting Data from Free Text Fields: Assuring Data Quality for ERP Implementation
M. David Allan, Susan Carter, Peter Aiken, Mary Kay Cyrus, Kathy Wade & Sid McCormac | 12 |
|
Preserving Web Sites: A Data Quality Approach
Cinzia Cappiello, Chiara Francalanci & Barbara Pernici | 13 |
|
Exploring the Mediating and Moderating Effects of Information Quality on Firms' Endeavor on Information Systems
Yihua Philip Sheng | 9 |
|
Would Organization Size Matter for Data Quality
Hongjiang Xu | 15 |
|
Automating Objective Data Quality Assessment (Experiences in Software Tool Design)
Sergei Savchenko | 12 |
|
Financial Reform Begins at Home
Thomas C. Redman | 12 |
|
