Gartner defines augmented data quality (ADQ) solutions as a set of capabilities that deliver advanced features to streamline the identification of quality issues, offer context-aware suggestions for corrective actions, and automate key data-quality processes to ensure cleaner, more reliable data. These purpose-built data-quality solutions support profiling and monitoring, rule discovery and creation, active metadata use, data transformation, data remediation, matching, linking and merging, and role-based usability. The solutions have AI-assistant-enabled features that enhance user experience.
Master data management (MDM) is a technology-enabled business discipline that enables business and IT to collaborate on the uniformity, accuracy and semantic consistency of an enterprise’s shared master data assets. Organizations buy MDM solutions to enable their MDM strategy, which is critical for data, analytics and AI strategies. These typically manage multiple data domains (e.g., customer, product, supplier, location), served by a combination of analytical and operational use cases, utilizing one or more implementation styles as per the organization’s needs and data ecosystems.