The Dataiku Solution for Credit Scoring offers credit modelers a unified space to accelerate credit scorecard building with built-in ML capabilities, eased data input, and analysis — all with advanced collaboration features to simplify decision making.
Access integrated interactive scorecards and evaluate in real time the impact of changes to features on the credit score with an entirely visual interface. Allow modeling teams and stakeholders to work collaboratively in real time to understand the drivers of any credit scoring model.
The Dataiku Solution for Credit Scoring takes credit risk teams from model prototyping and eased review by model risk management teams to model exposure in their choice of systems in a matter of a few steps. Thanks to this unified approach, governance is seamless, and the capacity to react to market evolutions is accelerated.
Explore and understand the fairness impact of the features within your model, supported by simple diagnostics and a Responsible AI (RAI) framework. Leverage the framework to quickly integrate checks across the entire process.
Use integrated weight-of-evidence (WOE) and automatic binning techniques to explore the fairness impact of features within your model and perform feature selection and interpretation using ML-supported techniques.
Quickly and easily perform feature selection and interpretation using ML-supported techniques alongside intuitive calculations and visualization. Use machine-assisted analysis to more quickly evaluate large datasets, retaining complete control and flexibility while connected to current customer datasets and tools.
The Dataiku Solution for Credit Scoring helps answer a broad range of questions like:
