Solving ESG Data Complexities to Build a Credible Global Index

Client Overview

A global consulting firm specializing in sustainability and ESG advisory services. Their offerings include AI-driven ESG analysis tools, regulatory reporting support, data research, stewardship programs, and custom training modules.

Problem Statement

The client needed to analyze over 750,000 pages from 300 Stewardship Statements, each ranging between 100–200 pages. Manual extraction from text- and image-based PDFs was slow, error-prone, and inadequate for generating timely, actionable ESG insights.

Solution Provided

Decimal Point Analytics deployed a GenAI-powered ESG data extraction and analysis framework:

• Automated Data Mapping: Applied advanced AI models to tag and extract key ESG data using a proprietary dictionary of 19,000+ terms.
• Document Processing at Scale: Enabled accurate parsing of both text and scanned image PDFs, improving speed and precision.
• Centralized ESG Reporting: Integrated extracted insights into a unified, analysis-ready reporting structure aligned with sustainability benchmarks.

Outcome

• 99% Faster ESG Report Delivery: Turnaround times reduced from weeks to hours.
• 70% Reduction in Analysis Costs: Significant operational savings through automation.
• Higher Data Accuracy: Delivered validated, audit-ready ESG insights.
• Enhanced Client Value: Empowered better investment and stewardship decisions based on deep ESG intelligence.

Key Takeaway

Strategic use of AI enabled the client to overcome significant ESG data processing challenges, driving faster insights, lower costs, and stronger client outcomes.

Looking to transform your ESG data management and reporting capabilities?