Governance itself is a common concept, encompasses the mechanisms by which organization and it’s entities are controlled and operates.
Likewise, Data Governance delivers the well-crafted framework of processes, policies, procedures, standards, rules, relationships, structure, and metrics in addition to strong strategy that is exercised by authority to ensure the efficiency and effectiveness of Information Utilization to enable organizations to achieve the desired goals.
Indeed, Data Governance is the core component of Data Management but Data Governance ensures Data is properly managed without directly executing Data Management. Data Governance represents an inherent separation of duty between oversight and execution.
An effective Data Governance strategy delivers many benefits to an organization, which includes but not limited to, Understanding of Data, Data Quality, Data Mapping, Data Consistency, Compliance and ultimately, Improved Data Management.
Data Governance includes:
- Legislative-like Functions (defining policies, standards, and the Enterprise Data Architecture);
- Judicial-like Functions (issue management and escalation); and
- Executive Functions (protecting and serving, administrative responsibilities).
In short, Data Governance ensures that data is secure, compliant, confidential, trusted, well-documented, and easy to find and access within organization.
Successful Data Governance requires a clear understanding of what is being governed and who is being governed, as well as who is governing. Data Governance is most effective when it is an enterprise effort, rather than isolated to a particular functional area. Defining the scope of Data Governance in an enterprise usually entails defining what enterprise means. Data Governance, in turn, governs that defined enterprise.
Interested Post: Data Management – Key Component
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- How to Measure the Value of Data?
- Data Governance – Core Benefits
- Data Governance Program – Scope
- Data Governance Program – Success Criteria
