Mastering the Art of Data Governance: Data Governance Framework
To steer your organization toward data governance excellence, we present a comprehensive roadmap comprised of sixteen key milestones. Each step will take you closer to harnessing the full potential of your data while ensuring regulatory compliance and data security
Step #4: Develop or enhance a data governance framework that defines roles, responsibilities, and processes for data management, data quality, and data privacy.
Data governance framework for XYZ:
Purpose
The purpose of this data governance framework is to define the roles, responsibilities, and processes for data management, data quality, and data privacy at XYZ. This framework will help to ensure that XYZ’s data assets are managed effectively, compliantly, and in a manner that supports the company’s business objectives.
Scope
This framework applies to all data assets owned or controlled by XYZ, regardless of format or location.
Roles and Responsibilities
· Data Governance Committee: The Data Governance Committee is responsible for overseeing the implementation and effectiveness of the data governance framework. The committee is comprised of senior executives from various departments, including IT, legal, compliance, and risk management.
· Data Steward: Data Stewards are responsible for managing specific data assets. They are accountable for the quality, consistency, and accessibility of their assigned data assets.
· Data Quality Manager: The Data Quality Manager is responsible for overseeing data quality initiatives across the organization. This includes developing and implementing data quality standards, monitoring data quality metrics, and identifying and resolving data quality issues.
· Data Security Officer: The Data Security Officer is responsible for developing and implementing data security policies and procedures. This includes identifying and assessing data security risks, implementing security controls, and responding to data security breaches.
Processes
- Data Collection: XYZ will collect data in a manner that is compliant with applicable laws and regulations. The company will only collect data that is necessary for its business purposes and will not collect data without the consent of the individual.
- Data Storage: XYZ will store data securely and in accordance with applicable laws and regulations. The company will implement appropriate security measures to protect data from unauthorized access, disclosure, use, modification, or destruction.
- Data Access: XYZ will only grant access to data to employees who have a legitimate need to know. Access will be controlled through role-based access control (RBAC) and data encryption.
- Data Quality: XYZ will implement data quality standards and procedures to ensure that its data is accurate, complete, consistent, and timely. Data quality checks will be performed as part of data collection, data transformation, and data loading processes.
- Data Privacy:XYZ will respect the privacy of individuals and will only use personal data in accordance with applicable laws and regulations. The company will provide individuals with access to their personal data and will allow them to correct or delete their personal data.
Data Governance Tools
XYZ will use a variety of data governance tools to manage its data assets.
These tools will include:
- Data dictionary: A data dictionary is a repository of metadata about data assets. It includes information about the name, type, and meaning of data fields.
- Data catalog: A data catalog is a searchable inventory of data assets. It allows users to find and access data assets.
- Data quality dashboard: A data quality dashboard provides visibility into data quality metrics. It allows users to identify and resolve data quality issues.
Review and Update
This data governance framework will be reviewed and updated annually to ensure that it is aligned with XYZ’s business needs and regulatory requirements.
By implementing this data governance framework, XYZ can effectively manage its data assets, comply with regulatory requirements, and make better decisions to support its business objectives.
