Operationalizing Data Governance: Actualizing Policies for Data Validation

Business are finally recognizing the value of data governance as an enterprise program, with the emergence of the Chief Data Officer (CDO) as a C-level role charged with ensuring that corporate data sets meet defined business data quality expectations.

There are two aspects to this governance: defining policies, and operationalizing their compliance. One straightforward approach to data validation is to make it part and parcel of the application architecture: adjust the development methodologies to direct software designers to embed data validation as an integral component of their applications.

Author: David Loshin and Abie Reifer


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