Data Governance: Strategies for Data Quality and Compliance

A Complete Guide to Data Governance: Tools, Technologies, and Key Performance Metrics. Become a Data Architect/Steward.

Created by: Uplatz Training
Fastest growing global Technology & Cloud Training Provider

What Will I Learn?

• Define and articulate the purpose of Data Governance and explain its key components, including stakeholders, policies, and processes.
• Identify and analyze key Data Governance frameworks (e.g., DAMA-DMBOK, CMMI, IBM) and explain their role in managing data effectively.
• Understand the roles and responsibilities within a Data Governance structure, such as Data Stewards, Data Owners, and Data Users.
• Evaluate the importance of data stewardship and ownership and describe the relationship between the two within an organization.
• Develop a comprehensive Data Governance plan, outlining the essential components, tools, and technologies required for successful implementation.
• Assess data privacy and compliance requirements and apply key regulations (e.g., GDPR, CCPA) in the context of Data Governance.
• Examine and select appropriate tools and technologies for managing data governance, including data quality tools, data catalogs, and governance platforms.
• Implement and monitor Data Governance policies and procedures by establishing effective metrics, KPIs, and reporting structures.
• Explore recent trends in Data Governance, such as master data management, data lineage, and collaboration tools, to stay ahead in managing organizational data.
• Identify and address common challenges and benefits associated with Data Governance implementation and develop strategies to overcome them.

Requirements

• Enthusiasm and determination to make your mark on the world!

Target audience

• Data Stewards: Responsible for overseeing the data lifecycle and ensuring its quality and compliance with governance policies.
• Data Architects: Professionals designing and managing data architecture, ensuring alignment with governance strategies.
• Data Engineers: Responsible for building data pipelines and ensuring that governance practices are followed during data integration and processing.
• Data Analysts and Scientists: Professionals who use data to derive insights and must understand governance principles to ensure data integrity and compliance.
• Business Analysts: Professionals working closely with data who need to ensure that data usage complies with governance policies.
• IT Managers and Directors: Overseeing data and infrastructure operations, ensuring alignment with governance frameworks.
• Compliance Officers: Responsible for ensuring that data handling meets regulatory and legal standards.
• C-Level Executives: Especially Chief Data Officers (CDOs), CIOs, and CTOs who drive data governance initiatives within the organization.
• Risk and Audit Professionals: Those ensuring that data governance policies mitigate risks and ensure data accuracy and integrity in audits.
• Project Managers: Overseeing data-driven projects, ensuring that governance standards are embedded into processes.