ESG Data Management and Assurance Readiness Training

Foundations of ESG Data and Reporting

Core competencies for Foundations of ESG Data and Reporting.

• ESG fundamentals: what is measured, why it matters, and who uses it
• The reporting landscape: CSRD/ESRS, ISSB (IFRS S1 and S2), GRI, SASB, TCFD, and SEC climate rules
• Materiality concepts: financial, impact, and double materiality
• From voluntary disclosure to regulated, assurable reporting
• Roles across the ESG data chain: sustainability, finance, operations, IT, and internal audi

ESG Data Strategy and Governance

Core competencies for ESG Data Strategy and Governance.

• Building an ESG data strategy aligned to reporting and business goals
• Data ownership, accountability, and RACI models
• ESG data governance frameworks, policies, and standards
• Internal control frameworks for sustainability data (COSO-based ICSR)
• Board and executive oversight of ESG data quality

Scoping, Materiality, and Metric Selection

Core competencies for Scoping, Materiality, and Metric Selection.

• Conducting materiality assessments and stakeholder engagement
• Selecting metrics and KPIs aligned to frameworks and taxonomies
• Defining reporting boundaries: organizational, operational, and value chain
• Building a metric dictionary with definitions, methodologies, and units
• Setting baselines, targets, and decarbonization or social goals

Environmental Data Management

Core competencies for Environmental Data Management.

• GHG accounting fundamentals: Scope 1, 2, and 3 under the GHG Protocol
• Energy, water, waste, and materials data collection
• Emission factors, conversion factors, and calculation methodologies
• Estimation techniques, proxies, and handling data gaps
• Climate risk, nature, and biodiversity data considerations

Social and Governance Data Management

Core competencies for Social and Governance Data Management.

• Workforce metrics: headcount, diversity, turnover, pay equity, and safety
• Human rights, supply chain, and labor practice data
• Community, customer, and product responsibility indicators
• Governance data: board composition, ethics, anti-corruption, and whistleblowing
• Managing privacy, confidentiality, and sensitivity in people data

Data Collection, Systems, and Technology

Core competencies for Data Collection, Systems, and Technology.

• Mapping data sources and data flows from site to report
• Designing collection templates, questionnaires, and workflows
• ESG software platforms, data lakes, and integration with ERP, HR, and finance systems
• Automation, APIs, and reducing manual spreadsheet risk
• Using AI and analytics for data validation and anomaly detection

Data Quality, Controls, and Validation

Core competencies for Data Quality, Controls, and Validation.

• Data quality dimensions: accuracy, completeness, consistency, and timeliness
• Designing and testing key controls over ESG data
• Review, reconciliation, and variance analysis processes
• Managing restatements, errors, and changes in methodology
• Segregation of duties, access controls, and change management

Assurance Fundamentals

Core competencies for Assurance Fundamentals.

• Limited vs. reasonable assurance: scope, procedures, and expectations
• Assurance standards: ISSA 5000, ISAE 3000/3410, AA1000AS, and ISO 14064-3
• Who provides assurance: audit firms, specialist verifiers, and internal assurance
• How assurers plan, test, and conclude on sustainability information
• Types of assurance opinions and the implications of qualifications

Assurance Readiness and Evidence Management

Core competencies for Assurance Readiness and Evidence Management.

• Conducting an assurance readiness assessment and gap analysis
• Building audit trails and documentation for every reported number
• Evidence packs: source data, calculations, approvals, and methodologies
• Preparing for auditor walkthroughs, sampling, and site visits
• Remediating findings and building a management response plan

Reporting, Disclosure, and Continuous Improvement

Core competencies for Reporting, Disclosure, and Continuous Improvement.

• Drafting accurate, consistent, and non-misleading ESG disclosures
• Managing greenwashing risk and claims substantiation
• Connecting ESG reporting with financial statements and the annual report
• Building a multi-year roadmap from limited to reasonable assurance
• Capstone: running an end-to-end ESG data review and assurance readiness assessment on a case study

How is ESG Data Management and Assurance Readiness Training delivered?

ESG Data Management and Assurance Readiness Training is delivered through instructor-led classroom, live online, private in-house corporate training depending on the selected cohort or organizational arrangement.

What are the fees for ESG Data Management and Assurance Readiness Training?

The published course investment is KES 80,000. Location-specific fees are shown where configured.

How long is ESG Data Management and Assurance Readiness Training?

ESG Data Management and Assurance Readiness Training runs for 5 Days unless a customized corporate schedule is agreed.

Do participants receive a certificate for ESG Data Management and Assurance Readiness Training?

Participants who complete the course receive a Certificate of Completion from EduCore Global Skills.

Where can I take ESG Data Management and Assurance Readiness Training?

ESG Data Management and Assurance Readiness Training is available in Nairobi, live online, and in-house corporate delivery by arrangement. Current dates are shown only where real sessions have been configured.

Who should attend ESG Data Management and Assurance Readiness Training?

ESG Data Management and Assurance Readiness Training is designed for Managers, Supervisors, Team Leaders, Executives, Department Heads, Project Leads and organizations that need practical capability in Water Resource Management, Climate Action, and Environmental Sustainability.

What are the prerequisites for ESG Data Management and Assurance Readiness Training?

No mandatory prerequisite is required unless stated in the course outline. Practical workplace experience in the subject area is helpful.