How WWF Germany Solves Data Challenges and Ensures Sustainability

How_WWF_solves_data_challenges_and_ensures_sustainability

The WWF Germany's data tool allows data to be uploaded, modeled, and visually presented, helping users make informed and sustainable decisions.

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foundations

Results that speak for themselves

WWF is the world’s leading conservation organization that is active in almost 100 countries, tackling the most critical issues at the intersection of nature, people, and climate. Engaging with private sector actors to push for more sustainable practices, WWF Germany's data tool is one important tool used to address these challenges.

> 26K

registered users

4.2 mil

data points for analysis

3

app consultants

problem space

Navigating vast data in nature-related risk management

WWF Germany offers several tools that allow companies to understand, assess, and respond to biodiversity and water related risks. By equipping companies and financial institutions with the tools they need, WWF Germany facilitates the identification and mitigation of nature-related risks, with the objective to drive responsible water and biodiversity stewardship and create a more sustainable future.

Processing the vast and diverse data necessary for nature-related risk assessment was challenging for WWF Germany. Traditional methods proved ineffective in handling the volume of data on a variety of disparate topics, such as water condition and crop pollination. It was also difficult for users to understand the data to allow them to act on nature-related risks. WWF Germany wanted to improve data accessibility and enable visual presentation for informed decision-making. 
 
Here are the main results achieved:

Solution

WWF Risk Filter Suite: simplifying data complexity with low-code

In response to this challenge, WWF Germany developed an innovative risk assessment tool, the WWF Risk Filter Suite, based on the ondeva low-code platform.  

The WWF Risk Filter Suite comprises two tools:

WWF_Biodiversity_Risk_Filter

WWF Biodiversity Risk Filter

A screening tool at corporate and portfolio levels that detects biodiversity-related risks and assists in prioritizing biodiversity conservation actions and stewardship.

WWF_Water_Risk_Filter

WWF Water Risk Filter

A screening tool for water-related risks at corporate and portfolio levels, supporting priority setting in water management and stewardship.

With the WWF Risk Filter Suite, you enter data once and get an automatic evaluation from both tools.  

The WWF Risk Filter Suite was developed to process large volumes of data, streamline data flows, and eliminate technical obstacles. With the tool, users can upload and handle big datasets in a user-friendly format.  

The risk data is then made available to users in different outputs. For example, detailed maps show biodiversity and water risk areas, thus supporting corporate strategic decision-making. The data can be exported and analyzed in a Excel format, which meets global sustainability initiatives and reporting standards. Moreover, the data can be arranged and presented in visual charts and maps to convey complex concepts, making it a perfect tool for presentations and stakeholder meetings.  

Ondeva adapts to user requirements and can be scaled quickly without coding knowledge. The WWF Risk Filter Suite keeps growing, with new functionalities added constantly.  

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Empowering sustainable corporate decisions

Empowering_sustainable_corporate_decisions

The WWF Risk Filter Suite's ability to store, process, and visualize vast amounts of data allowed WWF Germany to provide actionable insights to companies and financial institutions.  

Among the realized benefits are:

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Data management

Easy management of extensive datasets.

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Modularity

New features can be developed within the existing structure.

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Visualizations

Enhanced data interpretation and output formats, including maps, charts, and Excel.

By introducing the WWF Risk Filter Suite, WWF Germany provided stakeholders with the tools to undertake in-depth analyses of nature-related risks.

This success story shows how low-code technology can tackle data management challenges, improve current development processes, and solve complex problems without coding.

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