2.6: Data Governance
Data Governance Other Information:
Currently at OPIC, some data and information is duplicated across multiple business systems. Data governance can provide the
ability to better manage this business data by identifying the data owners and data users, and providing a process for data
integrity. Data governance refers to the overall management of the availability, usability, integrity, and security of the
data employed in an enterprise. A data governance program would include defining the custodian of the data, defining a set
of procedures for its capture, storage and use, and planning to execute those procedures. The initial step in the implementation
of a data governance program involves defining the owners or custodians of the data assets in the enterprise. A policy would
be developed that specifies who is accountable for various portions or aspects of the data, including its accuracy, accessibility,
consistency, completeness, and updating. Processes must be defined concerning how the data is to be stored, archived, backed
up, and protected from mishaps, theft, or attack. A set of standards and procedures must be developed that defines how the
data is to be used by authorized personnel. Finally, a set of controls and audit procedures must be put into place that ensures
ongoing compliance with government regulations. Over the longer term, the OCIO envisions implementing data governance through
an operational data store. An operational data store (ODS) is a type of database often used as an interim area for a data
warehouse. Unlike a data warehouse, which contains static data, the contents of the ODS are updated through the course of
business operations. An ODS is designed to quickly perform relatively simple queries on small amounts of data (such as finding
the status of a customer loan), rather than the complex queries on large amounts of data typical of the data warehouse. An
ODS is similar to your short term memory in that it stores only very recent information.
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