Data Governance is a work approach that facilitates an understanding of the data and information life cycle.
A Data Governance Model must be tailor-made according to the organization’s needs and based on four pillars: organization, processes, technology, and continuous monitoring and improvement.
A Data Governance model must be tailor-made.
Principles of Data Governance
1.) Build a strong foundation for the deployment of analytics and the improvement of data management by standardizing definitions and use cases, and simplifying data structures.
2.) Ensure the business has ownership of the data to drive change management.
3.) Promote a unique data language within the company.
4.) Establish processes that ensure data quality, accessibility, and traceability with a focus on preventing incorrect data entry.
5.) Ensure regulatory compliance.
6.) Share data between departments to add more value.
7.) Provide the right tools for controlling and improving data quality and traceability.
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