Active metadata management is a set of capabilities that enables continuous access and processing of metadata that support ongoing analysis over a different spectrum of maturity, use cases and vendor solutions. Active metadata outputs range from design recommendations based upon execution results and reports of runtime steps through, and indicators of, business outcomes achieved. The resulting recommendations from those analytics are issued as design inputs to humans or system-level instructions that are expected to have a response.
Gartner defines augmented data quality solutions as set of capabilities for enhanced data quality experience aimed at improving insight discovery, next-best-action suggestions, and 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 then be used to increase data quality automation and effectiveness across a broad range of data quality use- cases. These purpose-built solutions include a range of functions, including profiling and monitoring/detection, data transformation, rule discovery and creation, matching, linking, merging, active metadata support, data quality remediation and role-based usability.
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MDM is a technology-enabled business discipline in which business and IT work together to ensure the uniformity, accuracy, stewardship, governance, semantic consistency and accountability of an enterprise’s official shared master data assets. Master data has the lowest number of consistent and uniform sets of identifiers and attributes that uniquely describe the core entities of the enterprise and are used across multiple business processes.
Master data management (MDM) of customer data solutions are software products that: Support the global identification, linking and synchronization of customer information across heterogeneous data sources through semantic reconciliation of master data. Create and manage a central, persisted system of record or index of record for customer master data. Enable the delivery of a single, trusted customer view to all stakeholders, to support various business initiatives. Support ongoing master data stewardship and governance requirements through workflow-based monitoring and corrective-action techniques. Are agnostic to the business application landscape in which they reside; that is, they do not assume or depend on the presence of any particular business application(s) to function.