Are you drowning in ESG data but starving for insights? In this TBLI Radical Truth Podcast, host Robert Rubinstein sits down with Dr. Grégory Schneider-Maunoury, one of Europe's leading economists and ESG data experts.

Grégory reveals his "Radical Truth" on the practical realities of sustainability metrics. Moving beyond theory, he walks us through three detailed case studies demonstrating how to gather, filter, and apply ESG data to strengthen investment decisions and manage long-term risk. Learn how to separate genuine sustainability signals from the "noise" of modern corporate reporting.

What You'll Learn:

• The Data Dilemma - Why more ESG data doesn't always lead to better investment decisions, and how information overload creates paralysis rather than clarity for investors
• Case Study 1: Environmental Metrics in Risk Models - Integrating environmental data into traditional financial risk models, demonstrating how carbon emissions, water usage, and climate exposure translate into quantifiable financial risks
• Case Study 2: Measuring Social Impact Without Fluff - Cutting through vague corporate social responsibility rhetoric to identify material social metrics that actually predict workforce stability, community relations, and long-term value creation
• Case Study 3: Governance Data for Value Creation - Leveraging governance data—board composition, executive compensation alignment, shareholder rights—to predict long-term financial performance and identify red flags
• The Future of Data Science - How AI and machine learning are evolving impact analysis in 2026, enabling faster processing of unstructured ESG data and identification of material sustainability factors
• From Data to Decisions - Practical frameworks for filtering thousands of ESG metrics down to the 10-20 that actually matter for investment performance and risk management in specific sectors

Key Timestamps:

• 11:30 – The Data Dilemma: Why more data doesn't mean better decisions
• 23:45 – Case Study 1: Environmental metrics in risk models
• 35:20 – Case Study 2: Measuring social impact without fluff
• 48:10 – Case Study 3: Governance data for value creation
• 1:02:05 – The Future of Data Science: AI and impact analysis in 2026

Why This Matters:

ESG data has exploded: thousands of metrics, hundreds of rating agencies, conflicting methodologies, and regulatory requirements demanding disclosure of everything. The result isn't clarity—it's paralysis.

Dr. Grégory Schneider-Maunoury, economist and ESG data expert, offers a solution: focus on materiality, use case studies to demonstrate practical integration, and apply rigorous data science to separate signal from noise.

Through three detailed case studies, Grégory shows how to actually use ESG data to strengthen investment decisions, manage risk, and create long-term value—not just comply with regulations or greenwash portfolios.

For asset managers, ESG analysts, and institutional investors overwhelmed by sustainability data, this conversation provides actionable frameworks for turning information overload into investment intelligence.

About Dr. Grégory Schneider-Maunoury:Economist, researcher, and one of Europe's leading ESG data experts. Specialist in ESG integration, impact analysis, and data science applications in sustainable finance. Expert in materiality assessment and quantitative ESG analysis.

About TBLI Radical Truth Podcast:TBLI Radical Truth Podcast delivers technical deep-dives on ESG data integration and sustainable finance implementation.

Part of TBLI Group—the world's leading ESG and impact investing network for 25 years.

Learn more: https://www.tbligroup.com

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