Data Governance & Quality Management: Build Trustworthy, Compliant Data

Introduction:

In today's data-driven organizations, ensuring data accuracy, consistency, and compliance is paramount. This course on Data Governance & Quality Management equips participants with the specialized knowledge and skills to establish robust data governance frameworks and implement effective data quality practices. Participants will learn how to define data policies, implement data quality controls, and ensure compliance with regulatory requirements. This course bridges the gap between raw data and trusted information, empowering professionals to build a data-driven culture based on accuracy and compliance.

Target Audience:

This course is designed for professionals responsible for data governance and quality management, including:

• Data Governance Managers
• Data Quality Analysts
• Data Stewards
• Compliance Officers
• Data Architects
• IT Managers
• Anyone involved in data management and compliance

Course Objectives:

Upon completion of this Data Governance & Quality Management course, participants will be able to:

• Understand the principles and frameworks of data governance.
• Implement data quality management processes and techniques.
• Define and enforce data policies and standards.
• Understand data lineage and metadata management.
• Implement data profiling and data cleansing techniques.
• Understand data security and privacy regulations (GDPR, CCPA, etc.).
• Develop strategies for data stewardship and accountability.
• Implement data quality monitoring and reporting.
• Understand data lifecycle management.
• Develop strategies for data compliance and auditing.
• Enhance their ability to ensure data accuracy and compliance.
• Improve their organization's data governance and quality practices.
• Contribute to improved data-driven decision-making.
• Stay up-to-date with the latest trends and best practices in data governance and quality management.
• Become a more knowledgeable and effective data governance professional.
• Understand ethical considerations in data governance and quality.
• Learn how to use data governance and quality tools effectively.

DURATION

10 Days

COURSE CONTENT

Module 1: Introduction to Data Governance and Quality Management

• Understanding the importance of data governance and quality.
• Key concepts and principles of data governance.
• Introduction to data quality management frameworks.
• Understanding the relationship between data governance and data quality.
• Setting up the foundation for a successful data governance program.

Module 2: Data Governance Frameworks and Models

• Understanding different data governance frameworks (DAMA-DMBOK, COBIT).
• Developing a customized data governance model for your organization.
• Defining roles and responsibilities in data governance.
• Establishing a data governance council or steering committee.
• Understanding data governance maturity models.

Module 3: Data Policies and Standards

• Developing data policies and standards for your organization.
• Understanding data ownership and stewardship.
• Defining data access and usage policies.
• Implementing data retention and archival policies.
• Understanding data classification and sensitivity.

Module 4: Data Quality Management Processes and Techniques

• Understanding the data quality lifecycle.
• Implementing data profiling and data quality assessments.
• Developing data cleansing and data standardization techniques.
• Implementing data validation and data reconciliation.
• Understanding data quality metrics and measurement.

Module 5: Metadata Management and Data Lineage

• Understanding the importance of metadata management.
• Implementing metadata repositories and data catalogs.
• Understanding data lineage and impact analysis.
• Utilizing metadata for data discovery and understanding.
• Implementing metadata governance and stewardship.

Module 6: Data Profiling and Data Cleansing

• Understanding data profiling techniques and tools.
• Identifying data quality issues and anomalies.
• Implementing data cleansing and data transformation techniques.
• Utilizing data quality rules and validations.
• Understanding data standardization and normalization.

Module 7: Data Security and Privacy Regulations (GDPR, CCPA, etc.)

• Understanding data privacy regulations (GDPR, CCPA, etc.).
• Implementing data security and access controls.
• Understanding data encryption and anonymization techniques.
• Developing data breach response plans.
• Understanding data subject rights and compliance.

Module 8: Data Stewardship and Accountability

• Understanding the role of data stewards.
• Implementing data stewardship programs.
• Defining data steward responsibilities and accountabilities.
• Building a data-driven culture and collaboration.
• Understanding data ownership and custodianship.

Module 9: Data Quality Monitoring and Reporting

• Implementing data quality monitoring dashboards and reports.
• Utilizing data quality metrics and KPIs.
• Setting up data quality alerts and notifications.
• Implementing data quality issue tracking and resolution.
• Understanding continuous data quality improvement.

Module 10: Data Lifecycle Management

• Understanding the data lifecycle and its stages.
• Implementing data lifecycle management policies and procedures.
• Understanding data retention and archival strategies.
• Implementing data decommissioning and disposal processes.
• Understanding data migration and integration.

Module 11: Data Compliance and Auditing

• Understanding data compliance requirements and frameworks.
• Implementing data compliance audits and assessments.
• Developing data compliance reporting and documentation.
• Understanding regulatory compliance and risk management.
• Implementing data compliance monitoring and controls.

Module 12: Data Governance Tools and Technologies

• Understanding data governance tools and platforms.
• Implementing data quality management tools.
• Utilizing metadata management and data catalog tools.
• Understanding data lineage and data profiling tools.
• Evaluating and selecting data governance technologies.

Module 13: Data Governance Implementation and Change Management

• Developing a data governance implementation plan.
• Managing organizational change and adoption.
• Communicating data governance policies and procedures.
• Training and educating employees on data governance.
• Understanding stakeholder engagement and communication.

Module 14: Data Governance for Specific Industries (Healthcare, Finance, etc.)

• Understanding data governance challenges in specific industries.
• Implementing industry-specific data governance frameworks.
• Understanding regulatory requirements for different industries.
• Developing industry-specific data quality metrics and KPIs.
• Understanding data governance best practices for specific industries.

Module 15: Data Governance Best Practices and Future Trends

• Understanding best practices for data governance and quality management.
• Implementing data governance for emerging technologies (AI, cloud).
• Exploring future trends in data governance and quality.
• Understanding the impact of data governance on business strategy.
• Continuous learning and professional development in data governance.

Training Approach

This course will be delivered by our skilled trainers who have vast knowledge and experience as expert professionals in the fields. The course is taught in English and through a mix of theory, practical activities, group discussion and case studies. Course manuals and additional training materials will be provided to the participants upon completion of the training.

Tailor-Made Course

This course can also be tailor-made to meet organization requirement. For further inquiries, please contact us on: Email: info@skillsforafrica.org, training@skillsforafrica.org Tel: +254 702 249 449

Training Venue

The training will be held at our Skills for Africa Training Institute Training Centre. We also offer training for a group at requested location all over the world. The course fee covers the course tuition, training materials, two break refreshments, and buffet lunch.

Visa application, travel expenses, airport transfers, dinners, accommodation, insurance, and other personal expenses are catered by the participant

Certification

Participants will be issued with Skills for Africa Training Institute certificate upon completion of this course.

Airport Pickup and Accommodation

Airport pickup and accommodation is arranged upon request. For booking contact our Training Coordinator through Email: info@skillsforafrica.org, training@skillsforafrica.org Tel: +254 702 249 449

Terms of Payment: Unless otherwise agreed between the two parties’ payment of the course fee should be done 5 working days before commencement of the training.