Developing an Early Warning System

An Early Warning System was developed using the Statistical Process Control principles for Fintech company providing real time small ticket loans to customers. The company struggled with delayed notifications on system outages and inaccurate fraud detection. To resolve this, the team developed an Early Warning System by integrating SPC data with the ERP systems, that utilized real-time data analytics and automated anomaly detection. This seamless integration enabled continuous monitoring of systems, graded escalations and responses based on the severity of outages and swift identification of suspicious activities. As a result, unplanned downtime reduced by 78% and fraud detection speed improved by 45% effectively generating revenue of about INR 62 lacs and preventing potential losses of INR 12 Lakhs annually.