Information Quality Framework for Verifiable Intelligence Products

  • Hongwei Zhu
  • Richard Y. Wang
Part of the International Series in Operations Research & Management Science book series (ISOR, volume 132)


Organizations have been increasingly investing in technology to collect and process vast volumes of data. Even so, they often find themselves stymied in their efforts to effectively use the data to improve business processes and to make better decisions. This difficulty is often caused by information quality issues within the organization and other related organizations.


Information Quality Enterprise Architecture Intelligence Collection Central Intelligence Agency Intelligence Community 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


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Copyright information

© Springer Science+Business Media, LLC 2009

Authors and Affiliations

  • Hongwei Zhu
    • 1
  • Richard Y. Wang
    • 2
  1. 1.College of Business and Public AdministrationOld Dominion UniversityNorfolkUSA
  2. 2.MIT Information Quality ProgramMassachusetts Institute of TechnologyCambridgeUSA

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