Pillars of Data Quality Management

Acquiring high-quality data is fundamental to contemporary decision-making models. Data markets provide a mechanism for enhancing the data supply, particularly in domains where data is scarce. A critical challenge for data buyers in these markets is the selection of the most valuable data points from data sellers. Consequently, it is imperative to control data quality to ensure that service offerings meet the user’s requirements. This chapter delineates the pillars of data quality management, encompassing the dimensions of data quality, metrics, assessment, and analysis.