Data Quality

This chapter comprises six sections. The first section spotlights the types of data susceptible to quality issues, common reasons for poor data quality, and the potential costs and impacts of low-quality data. The second section discusses data quality dimensions and measurable metrics employed by information management professionals to gauge and improve the quality of data in comparison to a well-defined standard. The third and fourth section delve into data quality management and governance, exploring strategies, tools, and techniques such as data governance policies, data cleansing, and data auditing, which are instrumental in managing and enhancing data quality. The fifth section underscores the role of quality professionals in data quality, encompassing setting data standards, monitoring data quality, and training staff on data management best practices. The final section looks ahead to future trends in data quality, including the impact of emerging technologies, regulatory alterations, and shifts in business practices.