Data Mapping and Governance refers to the process of systematically managing and overseeing an organization’s data to ensure its accuracy, integrity, security, and compliance with relevant regulations. It involves creating a structured framework for understanding and controlling data flows within an organization. Here are the key aspects of Data Mapping and Governance:
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Data Mapping:
- Data Identification: Identifying and classifying different types of data within the organization, such as customer data, financial data, employee data, etc.
- Data Flow Analysis: Mapping the movement of data across different systems, processes, and departments within the organization.
- Data Lineage: Documenting the origin, transformation, and movement of data throughout its lifecycle.
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Data Governance:
- Data Ownership: Assigning responsibility for data to specific individuals or departments to ensure accountability.
- Data Quality: Establishing standards for data accuracy, completeness, consistency, and timeliness.
- Data Security: Implementing measures to protect sensitive data from unauthorized access, breaches, and cyber threats.
- Data Compliance: Ensuring that data management practices adhere to relevant data protection and privacy regulations.
- Data Policies and Procedures: Developing and enforcing policies and procedures for data collection, storage, usage, and sharing.
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Data Cataloging:
- Creating a central repository of metadata that describes the organization’s data assets.
- Providing a searchable inventory of data sources, data definitions, and data relationships.
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Data Stewardship:
- Appointing data stewards who are responsible for managing and maintaining specific data domains.
- Enforcing data governance policies and resolving data-related issues.
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Data Privacy and Consent:
- Ensuring that data collection, usage, and sharing practices comply with privacy regulations.
- Managing user consent for data processing and communication.
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Data Retention and Deletion:
- Defining policies for retaining data for legal and business requirements.
- Safely disposing of data that is no longer needed.
Data Mapping and Governance aims to create a culture of data responsibility within an organization, where data is treated as a valuable asset that requires careful management and protection. By implementing effective data mapping and governance practices, organizations can enhance data quality, reduce risks, improve decision-making, and achieve regulatory compliance.