Case Study: Marlette Funding (Best Egg Loans) improves fraud detection by 10% with Dataiku

A Dataiku Case Study

Preview of the Marlette Funding Case Study

Marlette Funding, Best Egg Loans were able to improve their fraud detection capacities by 10 percent by switching to a machine learning based model

Marlette Funding, Best Egg Loans faced rising fraud risk in consumer lending and needed a more effective, auditable approach that wouldn’t add regulatory burden. To modernize detection, Marlette’s six‑person decision science team partnered with Dataiku, using Dataiku for data blending, feature engineering, machine‑learning model creation, and one‑click deployment.

Dataiku helped Marlette implement an ML‑based fraud model that improved fraud detection by 10% versus the prior system. The Dataiku solution ingested internal and external data, was benchmarked against existing rules, and deployed to production—delivering measurable cost savings (about $15,000 saved per fraud case caught), reducing manual reviews, and speeding loan decisions.


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Marlette Funding

Evgeny Pogorelov

Director of Decision Science


Dataiku

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