Case Studies
Predictive Analytics for Revenue Forecasting
Industry: Fintech Lending Platform
Challenge
A fast-growing fintech lender relied on spreadsheet-based forecasting that lacked accuracy and scalability. Leadership struggled to anticipate revenue fluctuations, manage growth, and allocate capital effectively.
Solution
DataGeny designed a predictive analytics framework using historical lending, repayment, and market data. Advanced forecasting models were deployed to generate forward-looking revenue scenarios with automated updates.
Results
Improved forecast accuracy by over 30%
Enabled proactive financial planning and capital allocation
Reduced manual reporting and forecasting effort
Real-Time Fraud Detection Using Streaming Analytics
Industry: Digital Payments Provider
Challenge
The organization experienced increasing fraud attempts and delayed detection due to batch-based monitoring systems. Fraud teams lacked real-time visibility into suspicious activity.
Solution
We implemented a real-time data processing architecture with streaming analytics to monitor transactions as they occurred. Anomaly detection models flagged suspicious behavior instantly.
Results
Significant reduction in fraud losses
Real-time alerts improved response times
Maintained customer experience without transaction delays