Case Study: Bajaj Finserv achieves minimized lending risk and a single source of truth with Tableau Software

Bajaj Finserv minimizes lending risk with data-driven decisions

Bajaj Finserv Limited, a leading Indian non‑banking financial company in the Bajaj Group, faced high lending risk and fragmented datasets from multiple platforms that produced slow, inconsistent risk analysis. Critical portfolio reviews that once took two to two-and-a-half days lacked a unified view, making it difficult for business leaders to make timely, confident lending decisions.

The analytics team layered Tableau on top of their enterprise data warehouse and published shared dashboards on Tableau Server to create a single source of truth, enable self‑service analysis for nontechnical users, and enforce backend data security. As a result, risk-analysis time dropped to about 8–10 hours, decision-making improved, and lending risk was minimized while keeping sensitive customer data protected.

Bajaj Finserv

Nilotpal Gupta

Head of Business Intelligence & Analytics Infrastructure