Case Study: a multinational automotive company achieves faster Azure modernization and analytics with Valtech

a multinational automotive company onboards hundreds of data practitioners with Valtech on Azure

The customer, a multinational automotive company, faced organizational and technical hurdles that slowed its migration to Microsoft Azure, despite C-level commitment. With thousands of data practitioners needing centralized storage and scalable compute, the company needed to accelerate its modernization efforts and establish a solid data foundation. Valtech was engaged to provide a blueprint and best practices for the Azure migration.

Valtech implemented a solution leveraging Azure Databricks, MLflow, and the customer's existing Azure Data Lake. This included creating reusable patterns and tooling, inventorying core data assets, and onboarding hundreds of data practitioners. The results provided a robust data foundation, enabling cost-effective scaling, rapid prototyping, and well-documented, secure data assets. Valtech's work empowered users to make informed decisions and positioned the company to take full advantage of cloud innovation and emerging technologies.