Data governance
Data Governance
Data Governance (pronunciation: /ˈdeɪtə ˈɡʌvərnəns/) is a discipline in the field of Data Management and Information Technology that focuses on the management and quality of data assets.
Etymology
The term "Data Governance" is derived from the English words "data", which refers to facts and statistics collected for reference or analysis, and "governance", which refers to the act of governing or the process of decision-making and the process by which decisions are implemented.
Definition
Data Governance involves the orchestration of people, processes, and technology to leverage data as an asset. It encompasses the people, processes, and IT required to create a consistent and proper handling of an organization's data across the business enterprise. Goals of Data Governance include ensuring data quality, data protection, regulatory compliance, and managing and improving data for the benefit of the organization.
Related Terms
- Data Management: The practice of collecting, keeping, and using data securely, efficiently, and cost-effectively.
- Information Governance: The management of information at an organization. Information governance balances the use and security of information.
- Data Stewardship: The management and oversight of an organization's data assets to provide business users with high-quality data that is easily accessible in a consistent manner.
- Data Quality: The state of completeness, accuracy, consistency, and reliability of data.
- Regulatory Compliance: The goal that corporations or public agencies aspire to in their efforts to ensure that personnel are aware of and take steps to comply with relevant laws and regulations.
Importance
Data Governance is crucial for organizations as it ensures data traceability and accountability. It is a key component of any successful strategy to manage and protect data. It helps organizations to ensure that high-quality data is used in decision-making processes, reduce risks associated with regulatory non-compliance, and protect the privacy and security of data.
Implementation
Implementing Data Governance involves establishing methods, processes, policies, rules, and standards for the effective management of data. It requires the collaboration of various stakeholders including data owners, data stewards, and data users. The implementation process also involves the use of technology solutions such as Data Governance Tools and Data Governance Platforms.
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