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Published in:
2006 | OriginalPaper | Chapter
HIQM: A Methodology for Information Quality Monitoring, Measurement, and Improvement
Authors : Cinzia Cappiello, Paolo Ficiaro, Barbara Pernici
Published in: Advances in Conceptual Modeling - Theory and Practice
Publisher: Springer Berlin Heidelberg
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Hybrid Information Quality Management (HIQM) methodology is conceived to be a support to solve run-time data quality problems. The analysis of the business processes and context in the design phase allows identifying critical points in the business tasks in which information quality might be improved. In these points, information quality blocks have to be inserted in order to continuously monitor the information flows. Through suitable checks, failures due to information quality problems can be detected. Furthermore, failures and warnings in service execution may depend on a wide variety of causes. Along the causes, the methodology also produces a list of the suitable recovery actions for a timely intervention and quality improvement. The methodology is explained by means of a running example.