Breaking the Silos: Dunya Analytics Brings Unified Climate and Nature Risk Tools to COP17

Dunya Analytics - Turning nature risk into nature action

Award-winning nature analytics firm to unite climate and nature analytics at COP17 biodiversity conference

WILMINGTON, DE, UNITED STATES, October 8, 2026 /EINPresswire.com/ -- As global delegates gather in Yerevan for the COP17 biodiversity conference, corporate sustainability still faces limitations by managing climate and nature risks in silos. Treating these interconnected environmental crises as separate financial risks weakens the business case for action and leaves corporate supply chains deeply exposed.

Dunya Analytics, an award-winning enterprise risk platform, is challenging global corporations to move past reactive compliance and treat nature risk as a fundamental financial risk.

"Many corporations understand they need to act to halt and reverse biodiversity loss, but they treat it as an isolated ESG metric," says Dr. Rebecca Stern, Chief Sustainability Officer at Dunya Analytics.

"By keeping climate data in one bucket and ecological data in another, businesses miss the compound physical and transition risks threatening their business operations. You cannot secure a business against climate change while ignoring the degradation of ecosystems that influence it."

To bridge the gap between high-level policy goals and commercial reality, Dunya Analytics will demonstrate how to unify these frameworks across a series of practical, data-driven sessions at COP17. Rather than arguing policy, Dunya Analytics serves as the critical enablement engine, providing the concrete software and data tools corporations need to actively meet the Global Biodiversity Framework’s Target 15 requirements to monitor, assess and transparently disclose biodiversity dependencies.

Dunya Analytics will co-host and feature in key sessions during the summit to give leaders a hands-on blueprint to transition from assessment to financial strategy:

Session 1: Hands-On Integrated Nature and Climate Risk: Assess, Prioritize, Act

Hosted in collaboration with the UNEP World Conservation Monitoring Centre (UNEP-WCMC), this interactive workshop guides participants through real climate and nature risk assessment data. Attendees will build a clear decision framework to connect local ecological exposure directly to corporate financial impacts.

Session 2: Connecting the Dots Between Biodiversity Data and Corporate Transition Risk

Presented as part of the official "Data to Action Pavilion"– convened by GBIF, GEO BON, GEO, the Smithsonian Institution, and the University of Zurich – this session is co-organized with IBAT, the world's most authoritative biodiversity data provider. The joint presentation maps out how to translate complex ecological datasets into acting business decisions. Using the Dunya Analytics platform with integrated IBAT data, presenters will conduct a live, location-specific risk assessment to show how TNFD criteria for sensitive locations (such as protected areas and declining ecosystem integrity) translate directly into tangible regulatory exposure and shifting market expectations.

Session 3: Nature intelligence for the world’s 300 million SMEs: Profiling solutions

Top solutions identified in the Nature Intelligence for Business Grand Challenge will showcase real deployment lessons analysing nature risk and resilience along supply chains. As a Grand Challenge winner, Dunya Analytics will be featured in the session.

By demystifying complex global environmental datasets and converting them into actionable business intelligence, Dunya Analytics is giving corporate leaders the tools and confidence to shield their bottom lines while protecting the planet.

To learn more about Dunya Analytics or to schedule a meeting at COP17 in Yerevan, visit dunya-analytics.com.

About Dunya Analytics
Dunya Analytics is an award-winning enterprise-risk platform that empowers businesses to navigate the regenerative economy confidently by transforming complex environmental data into strategic, actionable intelligence.

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