Understand interactions between multiple factors
Inform decisions grounded in measurable mechanisms
Use Cases
Banking use case for transforming ESG into a performance lever: Causal analysis of financial and non-financial factors
Classical approaches treat ESG factors in isolation or through correlation. ScalAttrib models cause-and-effect relationships to understand their real impact on financial performance.
- Test scenarios on the evolution of ESG and economic variables
- Identify and explain the factors that truly contribute to performance
- Optimize investment and allocation strategies
Marketing use case for understanding performance levers: Causal analysis of actions and customer behaviors
Traditional approaches rely on partial correlations. ScalAttrib identifies the true causes of performance by modeling interactions between marketing actions and behaviors.
- Identify the channels and actions that truly contribute
- Test budget allocation and activation scenarios
- Optimize marketing performance in multi-lever environments
The Problem
Investment teams face a structural limitation:
- ESG treated as an exogenous factor
- Difficulty linking ESG to financial performance
- Insufficient linear models
- Complex, heterogeneous, underutilized data
Result:
- A partial view
- Limited anticipation capability
- Little differentiation in strategies
The Solution
ScalAttrib enables you to build causal AI models tailored to your environment.
The Projector™ platform is configured to:
- Integrate your ESG, macro, and internal data
- Model complex non-linear relationships
- Test combinations of factors
- Incorporate business expertise into models
Each model is:
- Explainable
- Interpretable
- Steerable by your teams
What You Can Do
With ScalAttrib, you can:
- Understand the real impact of ESG factors
- Test economic and environmental scenarios
- Improve your allocation models
- Strengthen your risk management
- Identify unexploited sources of alpha
Results
The models developed enable:
- Better performance than classical linear models
- Greater robustness against market variations
- More structured decision-making
Above all:
- You build your own tools
- Adapted to your organization
- Aligned with your governance
Unlike Traditional Approaches
- You don’t undergo models → you build them
- You don’t correlate → you understand the causes
- You don’t standardize → you adapt to your strategy



