Abstract: A computing system may include a memory of a data catalog storing a plurality of information assets and a processing system of an enterprise. The processing system may include one or more processors implemented in circuitry. The processing system may execute one or more data quality rules associated with data of the data catalog, the one or more data quality rules being configured to detect anomalies in the data of the data catalog. The processing system may further, in response to a data quality rule of the one or more data quality rules detecting an anomaly in the data of the data catalog, send an alert representative of the anomaly. The processing system may, in response to receiving confirmation of the anomaly, perform one or more remediation tasks with respect to the data of the data catalog.

Abstract: A computing system is described that includes a memory storing a plurality of information assets and a processing system of an enterprise, the processing system comprising one or more processors implemented in circuitry. The processing system is configured to receive a query for metadata for an information asset stored in one or more data catalogs of the enterprise. The processing system determines a location of the metadata using a metadata registry that stores mapping data that maps information assets to locations of metadata for the information assets, the locations corresponding to the data catalogs of the enterprise. The processing system retrieves the metadata from the determined location and provides the metadata in response to the query.

Abstract: An example computing system includes: a memory storing a plurality of data assets; and a processing system of an enterprise, the processing system comprising one or more processors implemented in circuitry, the processing system being configured to: maintain a plurality of data domains, each of the data domains being managed by an executive of the enterprise, and each of the domains having one or more subdomains; maintain the one or more subdomains of each of the plurality of data domains, each of the plurality of data domains being associated with one or more data use cases, one or more data sources, and one or more risk accessible units; and track defects of the data assets in each of the plurality of data domains.

Abstract: A computing system is configured to generate a data model comprising data sources, data use cases, and data governance policies retrieved from one or more data platforms via one or more platform and vendor agnostic APIs, wherein the data sources, data use cases, data governance policies, and APIs are aligned to one or more data domains. The computing system is further configured to create, based identifying information from the one or more data sources, a data linkage between a data source, a data use case, a data governance policy, and a data domain. The computing system is further configured to determine, based on the data governance policy and quality criteria, the level of quality of the data source. The computing system is further configured to generate, based on the level of quality of the data source, a report indicating the status of the data domain and data use case.