Data quality assurance is a discipline that focuses on ensuring data is fit for use in business processes. These processes range from those used in core operations to those required by analytics and for decision-making, regulatory compliance, and engagement and interaction with external entities. As a discipline, data quality assurance covers much more than technology. It also includes roles and organizational structures; processes for monitoring, measuring, reporting and remediating data quality issues; and links to broader information governance activities via data-quality-specific policies. The tools provided in this market are generally used by organizations for internal deployment in their IT infrastructure. They use them to directly support various scenarios that require better data quality for business operations and to enable staff in data-quality-oriented roles, such as data stewards, to carry out data quality improvement work.
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