Information Quality

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advanced data quality evaluation
attributes
Bank Holding Company Act
Business Processes
Category=KJQ
CHH
Critical Information Product
Cycle Time
Da Ta
data
data accuracy assessment
Data Flow Diagrams
data governance
Data Quality Dimensions
Data Quality Management
Data Quality Problems
data warehousing case studies
eq_bestseller
eq_business-finance-law
eq_isMigrated=1
eq_isMigrated=2
eq_nobargain
eq_non-fiction
flow
High Daily Circulation
IBM Employee
improve
Improve Information Quality
improvement
Information Chain
Information Custodians
Information Quality Education
information supply chain
Information Systems Curriculum
Information Systems Majors
Interpretive Capabilities
IP Map
knowledge management systems
manager
MIT Lincoln Lab
Organizational Information Processing Theory
organizational memory
problems
producers
Quality Analysis Model
Quality Evaluation Instrument
represent
warehouse

Product details

  • ISBN 9780765611338
  • Weight: 680g
  • Dimensions: 189 x 246mm
  • Publication Date: 31 Jan 2005
  • Publisher: Taylor & Francis Ltd
  • Publication City/Country: GB
  • Product Form: Hardback
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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.
Stuart Madnick, Richard Wang, Elizabeth M. Pierce, Craig Fisher