Nearly 75% of M&A practitioners say ESG is part of their investment strategy—but only 51% fully understand how to evaluate it. And most ESG due diligence still relies on self-reported disclosures that can lack depth, accuracy, or objectivity.
Using external data—from sentiment analysis to geospatial monitoring—helps uncover ESG risks and opportunities traditional processes miss, especially in private markets.
Why External Data Gives You the Edge
✅ Identify ESG red flags that don’t show up in self-reported reports
✅ Uncover reputational risks hidden in social media, news, or consumer sentiment
✅ Translate intangible ESG performance into financial insights
✅ Benchmark ESG metrics across companies and markets
✅ Support defensible decision-making in M&A and investment evaluation
How It Works
🔹 Run sentiment analysis on global media to assess brand reputation and stakeholder concerns
🔹 Use geospatial data to detect environmental risk around operations (e.g., pollution, deforestation)
🔹 Summarize large volumes of ESG documents using NLP for rapid insight
🔹 Track social, governance, and environmental controversies in real-time
🔹 Benchmark ESG performance against industry peers using third-party indices and ratings
By integrating these signals into your diligence workflows, you move from surface-level reporting to deep ESG intelligence—without adding delay.
Real-World Impact: Scaling ESG Screening in Private Markets
Environmental Resources Management (ERM) uses external ESG data to conduct large-scale due diligence on private companies. With SESAMm’s NLP engine, they now scan 25 billion documents from 4 million sources—enabling faster, higher-quality reports even in data-scarce private markets.
Ditch the ESG Black Box—And Start Making Transparent Decisions
ESG due diligence shouldn’t be based on what a company wants you to see. External data delivers what you actually need to know.
📩 Want to uncover ESG risks hiding in plain sight?
👉 Contact Blue Street Data to power your diligence with data that goes beyond the PDF.
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