Insights / Reports
ESG Data: Strategy & Collection Process
How Veridion collects, classifies, and enriches ESG data for risk, compliance, and market intelligence
For ESG, risk, and compliance teams that need data on private companies.
Key findings
- Veridion combines company websites and global and local news to build ESG profiles.
- The ESG taxonomy is organized into pillars, themes, and risks.
- Weekly updates and validation keep the dataset current and reliable.
- The data supports compliance, risk management, and market intelligence use cases.
Overview
What this report covers
A four-step overview of Veridion's ESG data strategy, covering extraction, classification, sentiment analysis, and enrichment, plus the business and compliance use cases it supports.
123Mcompanies with Veridion ESG coverage
250countries and territories covered
83%of investors want detailed ESG progress data (PwC)
Inside the report
Questions this report answers
- How do you get transparent ESG data on private companies instead of opaque aggregate scores?
- What are the four steps Veridion uses to extract, classify, and enrich ESG data?
- How does sentiment analysis expose the gap between ESG commitments and real performance?
- Which regulations (CSRD, EU Taxonomy, CBAM, CSDDD) can enriched ESG data help you meet?
83% of investors believe it is crucial for ESG reporting to include detailed information on progress toward ESG goals.
Contents
What’s inside
- Data extraction and analysis
- Data classification
- Sentiment analysis
- Profile enrichment
- Use cases across risk, compliance, and market intelligence
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