Case Study: Multinational Automotive Corporation achieves competitive advantage through trusted data and visual analytics with Informatica

Fuel for Customer Experience with Trusted Data and Visual Analytics

This leading multinational automotive manufacturer—a major producer of electric vehicles—faced fragmented product and customer data spread across hundreds of systems, inconsistent data quality, and a culture of manual data gathering that slowed forecasting, analytics, and supply‑chain decisions. The company needed to treat data as a high‑value asset, improve governance and stewardship, and empower business users with self‑service analytics to improve customer and dealer experiences, vehicle quality, and time to market.

They launched Project Data Alchemy, implementing an enterprise data‑governance framework and a publish/subscribe architecture using Informatica Axon, Enterprise Data Catalog, PowerCenter, Data Integration Hub, and Data Quality, with Tableau for visual analytics. The solution certified high‑quality, lineage‑aware data for self‑service discovery, giving employees near real‑time access to trusted data, enabling faster projects, better collaboration between business and IT, earlier detection of quality issues, improved customer and dealer interactions, and cost reductions while positioning the company to capitalize on EV, autonomous‑driving, and ride‑sharing opportunities.