About corse

In an era where data serves as a pivotal asset for organizations, the importance of effective data governance cannot be overstated. Organizations face a complex array of challenges, including regulatory compliance, data quality management, and the integration of disparate data sources. This course aims to equip professionals with the essential knowledge and skills to establish a robust data governance framework. By understanding the core principles of data governance, participants will learn how to align data management practices with organizational objectives, thereby enhancing decision-making and operational efficiency. The course is designed to provide a comprehensive exploration of best practices in data governance, focusing on practical implementation strategies. Participants will delve into the roles and responsibilities of data governance teams, the creation of data policies, and the importance of stakeholder engagement. Through a combination of theoretical insights and hands-on activities, this training will empower attendees to develop a strategic approach to data governance, ensuring that their organizations can leverage data responsibly and effectively.

The Objectives

• Understand the principles and importance of data governance.
• Explore best practices for implementing data governance frameworks.
• Learn to engage stakeholders effectively in data governance.
• Develop skills to create and enforce data governance policies.
• Gain insights into regulatory requirements related to data governance.
• Equip participants to assess and improve data quality management.

Training Methodology

• Interactive lectures and discussions.
• Case studies and real-world examples.
• Group activities and workshops.
• Hands-on exercises and simulations.
• Expert guest speakers.
• Continuous feedback and assessment.

WHO SHOULD ATTEND

• Data management professionals.
• IT and compliance officers.
• Business analysts and data analysts.
• Project managers involved in data initiatives.
• Executives and decision-makers responsible for data strategy.
• Anyone interested in enhancing their understanding of data governance.

Course Outlines

Day 1

• Introduction to Data Governance: Concepts and Importance
• Overview of Data Governance Frameworks
• Key Drivers of Data Governance Initiatives
• Roles and Responsibilities in Data Governance
• Identifying Stakeholders and Their Interests
• Case Study Analysis: Successful Data Governance Implementation

    Day 2

• Data Governance Policies and Procedures
• Developing a Data Governance Strategy
• Data Stewardship: Assigning Roles and Responsibilities
• Frameworks for Data Quality Management
• Tools and Technologies for Data Governance
• Group Activity: Creating a Data Governance Policy

Day 3

• Regulatory Compliance and Data Governance
• Understanding GDPR and CCPA Implications
• Data Classification and Security Measures
• Assessing Risks in Data Management
• Best Practices for Data Access and Sharing
• Workshop: Compliance Scenario Planning

Day 4

• Data Lifecycle Management
• Techniques for Effective Data Management
• Data Quality Assessment and Improvement Strategies
• Monitoring and Reporting on Data Governance Efforts
• Metrics and KPIs for Data Governance Success
• Group Discussion: Challenges in Data Quality

Day 5

• Engaging Stakeholders in Data Governance
• Communication Strategies for Data Governance Initiatives
• Change Management in Data Governance
• Building a Data-Driven Culture
• Case Study: Stakeholder Engagement Successes
• Interactive Session: Role-Playing Stakeholder Meetings

Training Method?

• Pre-assessment
• Live group instruction
• Use of real-world examples, case studies and exercises
• Interactive participation and discussion
• Power point presentation, LCD and flip chart
• Group activities and tests
• Each participant receives a copy of the presentation
• Slides and handouts

Training Method?

The course agenda will be as follows:

• Technical Session 30-10.00 am
• Coffee Break 00-10.15 am
• Technical Session 15-12.15 noon
• Coffee Break 15-12.45 pm
• Technical Session 45-02.30 pm
• Course Ends 30 pm