Information and Database Quality

1. Front Matter

   Pages i-xvii

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2. The Organization’s Most Important Data Issues

   • Robert W. Pautke, Thomas C. Redman

   Pages 1-12

3. Quality in Conceptual Modelling

   • Marcela Genero, Mario Piattini

   Pages 13-44

4. Information quality in internet commerce design

   • Pairin Katerattanakul, Keng Siau

   Pages 45-56

5. Metrics for databases: a way to assure the quality

   • Coral Calero, Mario Piattini

   Pages 57-83

6. Total Quality data Management (TQdM)

   • Larry P. English

   Pages 85-109

7. Data Quality and Business Rules

   • David Loshin

   Pages 111-133

8. A NEAT Approach for Data Quality Assessment

   • Mónica Bobrowski, Martina Marré, Daniel Yankelevich

   Pages 135-162

9. Quality in Data Warehousing

   • Mokrane Bouzeghoub, Zoubida Kedad

   Pages 163-198

10. Where is Information Quality in Information Systems Education?

    • Beverly K. Kahn, Diane M. Strong

    Pages 199-222

11. Back Matter

    Pages 223-227

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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.

• database
• databases
• design
• education
• information

• University of Castilla-La Mancha, Spain

  Mario G. Piattini, Coral Calero, Marcela Genero

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