.jpg)
Background
A world-leading pharmaceutical company is developing its corporate biodiversity strategy. As part of this process, the company has initiated a program to screen and manage its environmental dependencies and impacts across its own operations. Applying data-driven tools was identified as a key enabler for making fast and informed decisions.
Integrating Biodiversity into Core R&D Operations
For global companies in the pharma sector, understanding nature-related risk is crucial for both regulatory compliance and operational resilience. The primary challenges included:
- Strategic Data Gaps: The company needed to move from a high-level strategy to an operational plan, which required granular, site-level data on biodiversity and climate risks at its key facilities.
- Risk and Dependency Screening: A clear methodology was needed to screen for environmental impacts and dependencies to inform fast and informed based decisions.
- Lack of a Scalable Model: The company needed a robust, data-driven assessment process that could be piloted at one site and then efficiently replicated across other selected sites globally.
Hybrid Analysis for Site-Level Insights
The Landbanking Group deployed its platform to provide a high-resolution, multi-dimensional analysis of one key research and development site.
- Hybrid-Data Analysis: The Landler platform conducted a remote sensing and ground-truthing analysis of the grassland and forest areas on and around the property.
- Detailed Risk Reporting: The analysis delivered detailed insights into climate and biodiversity risks specific to that location.
- Actionable Recommendations: Beyond just data, the solution included practical recommendations for site adaptation and mitigation, translating the findings into a clear action plan.
A Replicable Blueprint for Biodiversity Management
The pilot project successfully provided the data and strategic support the company needed to move forward with its biodiversity strategy.
- Critical Data for Risk Mitigation: The project delivered critical data to mitigate biodiversity and climate risks at the specific R&D site.
- Strategic Executive Support: The findings provided further support with strategic decision making by the executive team, elevating the insights from an operational to a strategic level.
- A Scalable Blueprint: The pilot established a successful, replicable delivery format that the company can now use to assess other sites, ensuring a consistent and efficient approach across its global operations.
