This paper is aimed at project managers and describes the step-by-step process for implementing data quality as part of a project. While technology greatly facilitates and automates data quality management, it should be applied in accordance with a measurable, objective methodology to assure success and a high ROI for the project. Process, people, and business expertise are major components in achieving an improvement in data quality, leaving technology as a way to automate and improve processes.
This paper is aimed at project managers and describes the step-by-step process for implementing data quality as part of a project. While technology greatly facilitates and automates data quality management, it should be applied in accordance with a measurable, objective methodology to assure success and a high ROI for the project. Process, people, and business expertise are major components in achieving an improvement in data quality, leaving technology as a way to automate and improve processes.
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