Poor quality of data and information can have a harmful impact on decision-making and therefore on the overall effectiveness of an enterprise. Incorrect and misleading information associated with an enterprises production and service provision jeopardize both customer relationships and customer satisfaction, and ultimately have a negative effect on revenue. Challenges of Managing Information Quality in Service Organizations presents cases and applications of information quality in various industrial service sectors, and presents twelve chapters organized into four sections: information quality application in healthcare industry, information quality application in banking, real estate and postal industries, information quality application for database management services, and information quality application for research and development. Challenges of Managing Information Quality in Service Organizations provides insight and support for academic professionals as well as for practitioners concerned with the management of information.
Author(s): Latif Al-Hakim
Year: 2006
Language: English
Pages: 319
Front Page......Page 2
Copyright Page......Page 3
Table of Contents......Page 5
Foreword......Page 8
Preface......Page 10
Acknowledgments......Page 24
Section I: IQ Application in the Healthcare Industry......Page 26
Ch I: Galaxy's Data Quality Program: A Case Study......Page 28
Ch II: Information Quality Function Deployment......Page 53
Section II: IQ Application in Banking, Real Estates, and Postal Industry......Page 78
Ch III: Customer Investigation Process at Credit Suisse: Meeting the Rising Demands of Regulators......Page 79
Ch IV: Assessing Mass Consumer Information Quality Requirements Using Conjoint Analysis......Page 104
Ch V: Applying Name Knowledge to Information Quality Assessments......Page 126
Section III: IQ Applications for Database Management Services......Page 141
Ch VI: Information Quality: How Good are Off-the-Shelf DBMS?......Page 142
Ch VII: Management of Data Streams for Large-Scale Data Mining......Page 163
Ch VIII: Metadata Quality Problems in Federated Collections......Page 181
Section IV: IQ Application for Research and Development......Page 213
Ch IX: Analyzing Information Quality in Virtual Networks of the Services Sector with Qualitative Interview Data......Page 214
Ch X: Quality Measures and the Information Consumer......Page 240
Ch XI: DQ Options: Evaluating Data Quality Projects Using Real Options......Page 270
Ch XII: Purpose-Focused View of Information Quality: Teleological Operations Research-Based Appproach......Page 304
About the Authors......Page 337
Index......Page 343
