Governance itself is a common concept, encompassing the mechanisms by which organizations and their entities are controlled and operate.
Understanding the Framework of Data Governance
Likewise, Data Governance delivers a well-crafted framework of processes, policies, procedures, standards, rules, relationships, structure, and metrics in addition to a strong strategy that is exercised by authority to ensure the efficiency and effectiveness of Information Utilization to enable organizations to achieve the desired goals.
Role of Data Governance in Data Management
Indeed, Data Governance is the core component of Data Management, but Data Governance ensures that Data is properly managed without directly executing Data Management. Data Governance represents an inherent separation of duties between oversight and execution.
Benefits of a Strong Data Governance Strategy
An effective Data Governance strategy delivers many benefits to an organization, including but not limited to Understanding of Data Quality, Data Mapping, Data Consistency, Compliance, and ultimately, Improved Data Management.
Core Functions of Data Governance
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 the organization.
Enterprise-Wide Scope of Data Governance
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 the enterprise means. Data Governance, in turn, governs that defined enterprise.
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