Data governance

Data governance is a control that ensures that the data entry by
an operations team member or by an automated process meets precise standards,
such as a business rule, a data definition and data integrity constraints in
the data model. The data governor uses data quality monitoring against
production data to communicate errors in data back to operational team members,
or to the technical support team, for corrective action. Data governance is
used by organizations to exercise control over processes and methods used by
their data stewards and data custodians in order to improve data quality.

Data
governance is a set of processes that ensures that important data assets are
formally managed throughout the enterprise. Data governance ensures that data
can be trusted and that people can be made accountable for any adverse event
that happens because of low data quality. It is about putting people in charge
of fixing and preventing issues with data so that the enterprise can become
more efficient. Data governance also describes an evolutionary process for a
company, altering the company’s way of thinking and setting up the processes to
handle information so that it may be utilized by the entire organization. It’s
about using technology when necessary in many forms to help aid the process.
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