Data Analytics Platform Implementation Case Study

This case study details the implementation of a Data Analytics Platform (DAP) and a Data Experience Platform (DXP) by Tiger Analytics for a global Automotive Distributor. The objective was to enhance profits and customer retention amidst market disruptions and increased regulations. The study outlines the challenges faced by the client, including complex legacy systems, siloed data management, and an insufficient analytics platform. Tiger Analytics established a centralized approach that integrated Data Engineering and Data Science, leveraging Microsoft Azure and Databricks for a scalable data pipeline. Key features of the solution included real-time lead scoring, after-sales service churn prediction modeling, and vehicle pricing optimization. The results indicated a 4% increase in vehicle sales and a 15% improvement in customer retention, demonstrating the effectiveness of the implemented analytics solutions. The case study emphasizes the importance of a governed Lakehouse solution in managing data and optimizing cloud costs.