Getting Better Information Quality By Assessing And Improving Information Quality Management.

Abstract

Information quality has already become a decisive factor in information dependent business. Much has been said about the growing importance of data and information quality, and many researching lines over the last decade have looked at specific data and information quality issues from different standpoints. However data and information quality goes beyond the definition of data quality dimensions, there is still lack of an integrative framework, which can guide organizations in the assessment and improvement of data and information quality in a coordinated and global way. In this paper a framework to fill this gap is proposed. This framework is based on the Information Management Process (IMP) concept and it consists of two main components: an Information Quality Management Model structured in Maturity Levels (CALDEA) and an Assessment and Improvement Methodology (EVAMECAL). The methodology allows the assessment of an IMP in terms of maturity levels given by CALDEA, which can also be used as guidance for improvements. In the paper, a tool for automating the assessment and improvement is also briefly described.

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