Gartner defines augmented data quality (ADQ) solutions as a set of capabilities for enhanced data quality experience aimed at improving insight discovery, next-best-action suggestions and process automation by leveraging AI/machine learning (ML) features, graph analysis and metadata analytics. Each of these technologies can work independently, or cooperatively, to create network effects that can be used to increase automation and effectiveness across a broad range of data quality use cases. These purpose-built solutions include a range of functions such as profiling and monitoring; data transformation; rule discovery and creation; matching, linking and merging; active metadata support; data remediation and role-based usability.
Gartner defines business process automation (BPA) tools as software that enables the design, execution and monitoring of business processes involving diverse sets of systems and humans. BPA tools provide an environment for developing, running and monitoring business processes that incorporate process models (and other business, decision and data models) enabling automation of business operations. BPA tools play a crucial role in streamlining business processes, thereby increasing efficiency, reducing human error and enabling better decision making across various functions and industries.