Case Study: Daimler Group achieves scalable advanced analytics and data automation with Cloud Kinetics Azure data lake solution

Data Lake & Analytics Automotive Finance

Daimler Group, a provider of automotive financial services, needed a core data foundation to support scalable advanced analytics and improve customer retention. Cloud Kinetics worked with Daimler to address this challenge using Microsoft Azure services, including Azure Data Lake and Azure Data Factory, to create a modern data platform.

Cloud Kinetics implemented a centralized, cloud-based data hub with real-time data migration and change data capture, enabling self-service access, scalable analytics, and machine learning-ready data models. The solution reduced time spent on analytics by 80% and cut data aggregation effort by 70%, while also creating a foundation that could support use cases across 42 regions.

Daimler Group