Six months data governance roadmap with audit and maintenance

Description:

This image presents a "Six Months Data Governance Roadmap with Audit and Maintenance," which is a structured timeline for establishing and improving data governance within an organization. Each month is associated with a particular focus area and corresponding activities.

1. Month 1 - 

Discovery: During the first month, the process starts with discovery, which encompasses assessment of existing documentation and processes, identifying Subject Matter Experts (SMEs), and inserting additional relevant information.

2. Month 2 - 

Documentation, Gap Remediation and Validation: The second phase involves documentation, addressing identified gaps in data management, and validating the remediation efforts.

3. Month 3 - 

Monitoring and Reporting: As the plan progresses, this phase focuses on monitoring the data governance processes and reporting the findings or progress made.

4. Month 4 - 

Ongoing Audit, Reporting, and Documentation: This phase suggests a continuity in auditing, reporting, and documentation efforts to ensure ongoing compliance and maintenance of data governance standards.

5. Month 5 - 

The slide does not specify activities for month 5, but the continuation of ongoing auditing and the inclusion of additional text suggests that this month would focus on further refining the processes implemented.

6. Month 6 - 

Audit and Maintenance: In the final month, an evaluation of the Data Governance Model is conducted, and there is an opportunity to add more text for further details.

Use Cases:

This roadmap can be adapted and applied across various industries due to the universal need for data governance.

1. Banking:

Use: Implementing robust data governance to ensure regulatory compliance

Presenter: Chief Data Officer

Audience: Data Management Team

2. Healthcare:

Use: Managing patient data privacy and compliance with health data standards

Presenter: Compliance Manager

Audience: Healthcare Administrators

3. Retail:

Use: Enhancing data quality for customer analytics and personalization strategies

Presenter: Marketing Data Analyst

Audience: Marketing and Sales Teams

4. Telecommunications:

Use: Streamlining data operations for network optimization and customer service improvement

Presenter: Network Data Scientist

Audience: Operations and Network Teams

5. Manufacturing:

Use: Ensuring data traceability and process optimization for supply chain management

Presenter: Supply Chain Analyst

Audience: Supply Chain Management Team

6. Energy:

Use: Overhauling data management to support sustainability initiatives and regulatory reporting

Presenter: Sustainability Officer

Audience: Environmental and Regulatory Affairs Teams

7. Education:

Use: Standardizing data practices to improve student information systems and academic reporting

Presenter: Information Technology Director

Audience: Academic Administrators and IT Staff