1 / 51100%
Assignment 29: Data Governance Framework Development
Due Week 8 and worth 75 points
As the Data Governance Manager for your organization, you have been tasked with developing a
comprehensive Data Governance Framework. The framework should provide guidelines and best
practices for managing and protecting the organization's data assets. Your goal is to establish a
structured and standardized approach to data governance to ensure the integrity, availability, and
confidentiality of critical data.
Write a paper in which you:
1. Data Governance Framework Overview: Provide an overview of the Data Governance
Framework. Explain the purpose, goals, and objectives of the framework in managing
and protecting the organization's data assets.
2. Data Ownership and Stewardship: Define the concepts of data ownership and
stewardship within the framework. Specify the roles and responsibilities of data owners
and data stewards. Discuss how these roles contribute to effective data governance.
3. Data Classification and Sensitivity: Develop a data classification and sensitivity
framework. Define categories for classifying data based on sensitivity levels. Specify
how sensitive data should be handled, stored, and transmitted.
4. Data Quality Management: Outline the principles and processes for managing data
quality within the framework. Discuss measures for ensuring data accuracy,
completeness, and consistency. Define roles responsible for monitoring and improving
data quality.
5. Access Controls and Permissions: Define guidelines for access controls and permissions
for data assets. Specify how access to data should be granted, modified, and revoked.
Discuss the principle of least privilege and the need-to-know basis.
6. Data Retention and Archiving: Develop policies for data retention and archiving. Specify
how long different types of data should be retained and the criteria for archiving or
securely deleting data. Discuss compliance with legal and regulatory requirements.
7. Data Security Measures: Outline data security measures to protect data assets. Discuss
encryption, data masking, and other techniques for safeguarding data in transit and at rest.
Students also viewed