ABSTRACT
This chapter discusses the importance of the concepts of data quality and process quality and why the integration of both is required to address quality holistically. It also discusses data as being important asset to any organization like how people or infrastructure are and how data management programs are being built to effectively treat the data. The chapter explains the impact of poor data quality and how it contributes to societal loss using the theory of Taguchi's loss function, as well as the impact of data quality on process improvements and why the integration of data quality and process quality is necessary. Data quality is related to process quality in two ways: when working on Six Sigma initiatives, ensuring data quality is important to ensure high-quality performance levels for products/systems; and data quality is also dependent upon certain processes and, as we make improvements to these processes, data quality needs to be improved as well.
