ESG Data Management

Effective ESG data management is critical for accurate reporting, regulatory compliance, and decision-making.

ESG Data Challenges

Data Availability — ESG data often not collected systematically
Data Quality — Inconsistent definitions and measurement methods
Data Silos — ESG data scattered across departments
Scope 3 Complexity — Supply chain data difficult to obtain
Assurance Requirements — Increasing demand for verified data

ESG Data Management Framework

1. Data Governance

Establish clear ownership for ESG data:

• Assign data stewards for each ESG metric
• Define data quality standards
• Create data collection procedures
• Implement approval workflows

2. Data Collection Systems

Manual Collection — Spreadsheets and surveys (small companies)
ERP Integration — Extract ESG data from existing systems
ESG Software Platforms — Dedicated ESG data management tools
IoT Sensors — Real-time environmental monitoring

3. Data Quality Controls

Validation Rules — Automated checks for data completeness and accuracy
Reconciliation — Cross-check data across sources
Audit Trails — Document data sources and calculations
Third-Party Verification — Independent assurance of key metrics

4. Data Storage and Access

Centralized Database — Single source of truth for ESG data
Role-Based Access — Control who can view and edit data
Version Control — Track changes over time
API Integration — Enable data sharing with reporting platforms

ESG Data Software Solutions

Workiva — ESG reporting and data management
Diligent ESG — Board-level ESG oversight
Sphera — Environmental and social performance
Enablon — Sustainability and EHS management
Benchmark ESG — ESG data aggregation and analytics

From ESG Library

• ESG Reporting Made Simple (IFRS/SASB) — Data collection for IFRS S1/S2
• Climate Change Reporting Made Simple — GHG emissions data management

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Key Resources

• CDP Disclosure Platform
• GRI Standards for Data Collection

Part of ESG Hub | Curated by Ascent Partners Foundation