White Paper 1

Written by Gaine Solutions

August 30, 2019

Data governance is how enterprises organize and manage their data assets. Enterprises define processes and procedures that support data management; how the organization formats data, classifies data and stores data; how they use data; and how they define, protect and ensure data quality.

Data governance has emerged as the topic de jour for both IT and business executives. In spite of massive investment in modern Enterprise Resource Planning (ERP) systems, data quality, or the lack thereof, remains a barrier to optimal business processes. Effective data governance can remove these barriers and organizations can fully realize their return on technology investments.

Data Governance is a misleading term. Improvements in data quality are a primary outcome of a successful data governance program, but data quality without the context of a business process has no intrinsic value.

However, establishing data governance for the sake of data governance alone is destined to fail. Executive support for a data governance program may launch an initiative but eventually, unless the program is effectively aligned with business process improvements, it will “die on the vine” due to lack of funding, lack of adoption or lack of interest.

Data governance programs that are purely data-centric will fail.

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