In a global and increasingly competitive market, where organizations are driven by information, the search for ways to transform data into true knowledge is critical to a business's success. Few companies, however, have effective methods of managing the quality of this information. Because quality is a multidimensional concept, its management must consider a wide variety of issues related to information and data quality. Information and Database Quality is a compilation of works from research and industry that examines these issues, covering both the organizational and technical aspects of information and data quality. Information and Database Quality is an excellent reference for both researchers and professionals involved in any aspect of information and database research.

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List of contributors (alphabetically). Preface. Acknowledgement. 1. The Organization's Most Important Data Issues; R.W. Pautke, T.C. Redman. 2. Conceptual Model Quality; M.F. Genero, M.G. Piattini. 3. Information Quality in Internet Commerce Design; P. Katerattanakul, K. Siau. 4. Metrics for Databases: A Way to Assure the Quality; C. Calero, M. Piattini. 5. Total Quality Data Management (TQDM) Methodology for Information Quality Improvement; L.P. English. 6. Data Quality and Business Rules; D. Loshin. 7. A Neat Approach for Data Quality Assessment; M. Bobrowski, et al. 8. Quality in Data Warehousing; M. Bouzeghoub, Z. Kedad. 9. Where information Quality in Information Systems Education? B.K. Kahn, D.M. Strong. Index.