Introduction
ESG reporting relies on high-quality, reliable data. Stakeholders—including investors, regulators, and rating agencies—expect accurate metrics and transparent methodologies. This requires strong data governance, internal controls, and external assurance.
This course examines how companies can build robust data systems, ensure consistency across reporting cycles, avoid greenwashing risks, and prepare for assurance requirements under emerging regulations.
Target Audience
Aimed at:
- ESG reporting and data management teams
- Auditors and assurance providers
- Risk and compliance managers
- IT data governance professionals
- Consultants supporting ESG reporting
- Business students specializing in accounting or sustainability
Course Outline
- 5 Sections
- 0 Lessons
- 5 Days
Expand all sectionsCollapse all sections
- Day 1 – ESG Data Fundamentals• Importance of data quality
• Types of ESG data (quantitative & qualitative)0 - Day 2 – Tools & Data Management Systems• ESG data platforms
• Data governance frameworks
• Internal controls0 - Day 3 – Assurance Practices• External vs. internal assurance
• Common assurance standards
• Walkthrough: preparing data for assurance0 - Day 4 – Challenges & Solutions• Data gaps
• Reliability issues
• Avoiding misstatements and greenwashing0 - Day 5 – Data Quality Action Plan• KPIs for data accuracy
• Continuous improvement strategies
• Final case analysis0
Instructor
Lessons:
