Abstract: A method for facilitating automated enforcement of a data publication and usage contract is provided. The method includes capturing a data contract from data that is published by a data service provider, the data contract including a data contract element; converting the captured data contract into a predetermined file format; retrieving metadata that correspond to the data, the metadata including usage information that relates to a consumption of the data by a data consumer; validating the retrieved metadata based on the converted data contract; and automatically initiating an enforcement action based on a result of the validating.

Abstract: An enterprise level Application Programming Interface (API) driven service to integrate and automate data quality processes within organizations is provided. The service has capabilities to ingest data from heterogenous data sources and provide data quality metrics irrespective of data domain type. A subscribing application can write Data Quality (DQ) checks as code using templates of a customized rule engine and generate metrics based on pre-defined schedules. Analytics and visualization and reporting capabilities of the service empower stakeholders such as data managers, application developers, and risk assessors to obtain actionable insights into data quality. Stakeholders can use service-generated DQ measures, such as accuracy, completeness, and timeliness, to identify data quality concerns and proactively implement remediation actions to reduce data use risk.

Abstract: An enterprise level Application Programming Interface (API) driven service to integrate and automate data quality processes within organizations is provided. The service has capabilities to ingest data from heterogenous data sources and provide data quality metrics irrespective of data domain type. A subscribing application can write Data Quality (DQ) checks as code using templates of a customized rule engine and generate metrics based on pre-defined schedules. Analytics and visualization and reporting capabilities of the service empower stakeholders such as data managers, application developers, and risk assessors to obtain actionable insights into data quality. Stakeholders can use service-generated DQ measures, such as accuracy, completeness, and timeliness, to identify data quality concerns and proactively implement remediation actions to reduce data use risk.

Abstract: A method for facilitating automated enforcement of a data publication and usage contract is provided. The method includes capturing a data contract from data that is published by a data service provider, the data contract including a data contract element; converting the captured data contract into a predetermined file format; retrieving metadata that correspond to the data, the metadata including usage information that relates to a consumption of the data by a data consumer; validating the retrieved metadata based on the converted data contract; and automatically initiating an enforcement action based on a result of the validating.