Case Studies
Exeter Finance
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How Exeter Finance Got a 90-Day ROI from ML
The biggest problem is that you can’t just throw more bodies at the data. When done manually, it’s just a repetitive, trial-and-error process that takes time. dotData solves a problem I’ve been trying to solve for 20+ years.
Karthik Chandrasekhar | SVP of Decision Science, Exeter FinanceYokohama Rubber
Yokohama Rubber & dotData Revolutionize Tire Performance and Manufacturing by Scaling AI
A National Healthcare Company
How A National Healthcare Company Increased Forecast Accuracy by 20% in 3 Days
A National Healthcare Provider
How a healthcare company reduced bad debt by 25% using Feature Factory
sticky.io
How sticky.io Recovered $8M Per Month Using No-Code Automated Feature Engineering
A Multinational Industrial Supplier
Multinational Industrial Supplier Saves $40M Per Year With AI-based Customer Churn Prediction
Mitsui Sumitomo Insurance
Mitsui Sumitomo Insurance (MSI) Contract Signing Rate Triples with AI-personalized Insurance
Sumitomo Mitsui Trust Bank
Sumitomo Mitsui Trust Bank Increases Close Rates by 20X with AI
A US National Distributor of Electrical Components
Component Supplier Lowers Bad Debt $15M With Machine Learning Credit Risk Assessment
A Global Automobile Manufacturer
How A Global Manufacturer Lowered Inventory Costs by $10M Annually
A Regional Multi-Store Chain
How A Regional Chain of Stores Eliminated $5M in Fraud with Predicitve Analytics