Insurance companies use Big Data to improve underwriting, detect fraud, and enhance customer experience. Predictive analytics evaluates risk more accurately, leading to better pricing and policy offerings.
Retailers leverage Big Data to optimize inventory, personalize shopping experiences, and enhance customer loyalty. Data-driven insights help in understanding buying patterns and predicting future trends for better stock management.
The automotive industry uses Big Data for predictive maintenance, improving vehicle design, and enhancing driver experience. Analytics optimize supply chains and production processes, ensuring efficiency and innovation in vehicle manufacturing.