How good are my data?: Information quality assessment methodology.

Abstract

Quality assurance techniques used in software development and hardware maintenance/reliability help ensure that data in a computerized information management system are maintained well. However, information workers may not know the quality of data resident in their information systems. Knowledge of the quality of information and data in an enterprise provides managers with important facts for managing and improving the processes that impact information quality. This paper presents quality assessment methodology to assist information workers in planning and implementing an effective assessment of their information data and quality. The areas covered include: identifying appropriate information quality indicators; developing assessment procedures; conducting information quality assessments; reporting information assessment results; tracking improvements in information quality.