Course Details

ESG Data Analytics and Reporting Training Course

INTRODUCTION

In today’s sustainability-driven world, data plays a critical role in demonstrating an organization’s commitment to Environmental, Social, and Governance (ESG) goals. ESG Data Analytics and Reporting is not just about compliance—it’s a strategic advantage that builds stakeholder trust, enhances decision-making, and aligns with global sustainability standards.

ESG Data Analytics and Reporting Training Course equips professionals with advanced skills to collect, analyze, and report ESG data effectively. Participants will learn to leverage cutting-edge tools and techniques, navigate reporting frameworks, and ensure transparency and accuracy in ESG disclosures. With a focus on practical applications, this training prepares organizations to meet evolving regulatory and stakeholder demands while optimizing their sustainability performance.

 DURATION

5 days

TARGET AUDIENCE

This ESG Data Analytics and Reporting Training Course is designed for:

• ESG and Sustainability Managers:To enhance data management and reporting capabilities.
• Risk and Compliance Officers:To ensure adherence to ESG disclosure requirements.
• Corporate Executives and Decision-Makers:To leverage ESG data for strategy and governance.
• Finance and Investment Professionals:To assess ESG performance and risks in decision-making.
• Data Analysts and IT Professionals:To build data-driven ESG solutions.
• Consultants and Advisors:To provide advanced ESG analytics and reporting services to clients

 COURSE OBJECTIVES

By the end of this ESG Data Analytics and Reporting Training Course, participants will:

• Understand ESG Data Fundamentals: Learn the key sources and types of ESG data relevant to their organization.
• Master ESG Data Analytics: Apply advanced tools and techniques for collecting, analyzing, and interpreting ESG metrics.
• Navigate Reporting Frameworks: Understand global ESG standards, including GRI, SASB, TCFD, and ISSB.
• Ensure Data Accuracy and Integrity: Build processes for reliable and verifiable ESG data management.
• Create Effective ESG Reports: Develop reports that communicate sustainability performance clearly and transparently.
• Leverage Technology: Utilize AI, machine learning, and predictive analytics for ESG insights.
• Drive Decision-Making: Use ESG data analytics to inform strategies, reduce risks, and identify opportunities.

 COURSE CONTENT

Module 1: ESG Data Overview and Importance

• Introduction to ESG data and its relevance in modern organizations.
• Types and sources of ESG data: environmental, social, and governance metrics.
• Challenges in ESG data collection and management.

Module 2: ESG Reporting Frameworks and Standards

• Overview of GRI, SASB, TCFD, CDP, and ISSB reporting standards.
• Aligning data collection with stakeholder and regulatory requirements.
• Comparing frameworks and selecting the right one for your organization.

Module 3: ESG Data Collection and Management

• Establishing data pipelines and systems for ESG metrics.
• Tools and software for automated ESG data collection.
• Ensuring data quality: accuracy, reliability, and consistency.

Module 4: Advanced ESG Data Analytics

• Applying data visualization tools (e.g., Power BI, Tableau) for ESG insights.
• Using AI and machine learning to predict ESG risks and opportunities.
• Scenario analysis and stress testing for ESG-related risks.

Module 5: Developing Effective ESG Reports

• Structuring ESG reports for maximum impact and clarity.
• Balancing transparency with confidentiality in disclosures.
• Tailoring reports to meet stakeholder needs (investors, regulators, public).

Module 6: Ensuring ESG Reporting Compliance

• Verifying and auditing ESG data for compliance.
• Managing legal and regulatory risks in ESG reporting.
• Addressing challenges in greenwashing and maintaining credibility.

Module 7: Leveraging ESG Data for Strategy

• Using analytics to align ESG goals with business objectives.
• Identifying trends and gaps through ESG performance tracking.
• Supporting decision-making with data-driven sustainability insights.

Module 8: Future Trends in ESG Data and Reporting

• The role of technology in advancing ESG analytics and transparency.
• Emerging standards and global harmonization efforts.
• Preparing for the future: ESG in digital transformation and AI-driven reporting.

 CERTIFICATION

• Upon successful completion of this training, participants will be issued with Macskills Training and Development Institute Certificate

TRAINING VENUE

• Training will be held at Macskills Training Centre. We also tailor make the training upon request at different locations across the world.

AIRPORT PICK UP AND ACCOMMODATION

• Airport pick up and accommodation is arranged upon request

TERMS OF PAYMENT

• Payment should be made to Macskills Development Institute bank account before the start of the training and receipts sent to info@macskillsdevelopment.com