Latha Subramanian

Most enterprise data transformations stall because they solve the technology problem without solving the people and governance problem. GM Financial, General Motors' finance arm, chose a different path. Guided by a clear enterprise data vision and a multi-year transformation on Databricks, they moved from fragmented reporting to a governed, AI-enabled analytics ecosystem without sacrificing SOX compliance or data trust. In this session, CDAO Latha Subramanian shares the institutional 'recipe' that made it work: a data strategy board, formal stewardship councils, communities of practice that drove enterprise-wide literacy, and a Databricks Center of Excellence that turned adoption from aspiration into culture. She'll show how Genie, their Databricks-powered natural language interface, democratized self-service analytics for non-technical users, and how their FinOps framework gave leaders pipeline-to-query cost visibility for the first time. If you're responsible for an enterprise data program that needs to deliver both innovation and auditability, this session is your playbook.

Deloitte and GM (General Motors) Financial have collaborated to design and implement a cutting-edge cloud analytics platform, leveraging Databricks. In this session, we will explore how we overcame challenges including dispersed and limited data capabilities, high-cost hardware and outdated software, with a strategic and comprehensive approach. With the help of Deloitte and Databricks, we were able to develop a unified Customer360 view, integrate advanced AI-driven analytics, and establish robust data governance and cyber security measures. Attendees will gain valuable insights into the benefits realized, such as cost savings, enhanced customer experiences, and broad employee upskilling opportunities. Unlock the impact of cloud data modernization and advanced analytics in the automotive finance industry and beyond with Deloitte and Databricks.