ABSTRACT
Organizations today have access to vast stores of data that come in a wide variety of forms and may be stored in places ranging from file cabinets to databases, and from library shelves to the Internet. The enormous growth in the quantity of data, however, has brought with it growing problems with the quality of information, further complicated by the struggles many organizations are experiencing as they try to improve their systems for knowledge management and organizational memory. Failure to manage information properly, or inaccurate data, costs businesses billions of dollars each year. This volume presents cutting-edge research on information quality. Part I seeks to understand how data can be measured and evaluated for quality. Part II deals with the problem of ensuring quality while processing data into information a company can use. Part III presents case studies, while Part IV explores organizational issues related to information quality. Part V addresses issues in information quality education.
TABLE OF CONTENTS
part I|66 pages
Measuring Data Quality
chapter 5|18 pages
Model-Based Data-Quality Evaluation
part II|47 pages
Modeling and Developing Information Processes for Information Quality
chapter 8|17 pages
Ip-Uml
part III|46 pages
Data- and Information-Quality Improvement: Case Studies
part IV|36 pages
Organizational Issues in Information Quality
chapter 13|18 pages
Criticality of Factors Affecting Data Quality of Accounting Information Systems
part V|34 pages
Education and Capability Building in Information Quality