Streaming Data Lakehouse
IoT Data Streaming to Data Lakehouse help our client powers real-time analytical model, enabling more sophisticated and responsive ridesharing algorithm
Real-Time Data Engineering
Building a Streaming Pipeline
The location of each vehicle in the fleets is extremely crucial for the operation and optimization. Real-time Data Lakehouse enables our client to capture their streaming data for real-time analysis.
Real-Time Analysis
Immediate Operational Insights
Real-time analysis brings tremendous value to the operation, allowing decision and response to be made with better precision and speed. This significantly improve customers experience and accuracy of their ridesharing experiences.
Real-Time Forecast
Anticipate Changes
Real-time analysis and feature engineering subsequently enable real-time forecast, which makes it possible to anticipate changes and strategically prepare and deploy their fleet, ensuring optimal operations for an enhanced ride experiences for customers.
Result
Better Experiences,
Improved Revenue
By enabling real-time capability, our client is now empowered with enhanced capabilities to optimize their ridesharing experiences, enabling them to refine operations and, consequently, boost their revenue.