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
Credit Risk Modeling for Loan Portfolio Optimization
Industry: Digital Banking Platform
Challenge
A digital banking institution faced challenges in accurately assessing borrower risk across its rapidly growing loan portfolio. Traditional credit scoring methods were unable to incorporate alternative data sources, leading to inconsistent risk assessments and higher default rates.
Customer Segmentation for Personalized Financial Products
Industry: Retail Banking
Challenge
The bank struggled to effectively understand its diverse customer base. Marketing campaigns were generic, resulting in low engagement rates and missed opportunities to cross-sell financial products.
Liquidity Risk Forecasting for Financial Stability
Industry: Investment Management Firm
Challenge
An investment management firm needed better visibility into its short-term liquidity position. Manual analysis and static reports made it difficult to anticipate cash flow requirements and respond quickly to market volatility.
