Case Study: Axis Bank achieves near‑real‑time data processing and operational efficiency with Cloudera

Axis Bank Driving operational efficiency by processing structured and unstructured data in near real time

Axis Bank, a leading private bank in India with over 20 million customers and 4,000+ branches, faced a 50% year‑on‑year surge in data and needed to extract real‑time value from both structured and unstructured sources (audio, video, text). Traditional platforms couldn’t handle the growing volume, variety, or latency requirements, so the bank set out to modernize its data platform to improve risk management and operational efficiency.

Using Cloudera’s modern data platform, Axis Bank consolidated ~750 TB from systems like Oracle Exadata and now ingests ~100 GB/day, running use cases such as toll‑plaza image analysis (processing 75% of FASTag disputes in near real time), AML text alerts, branch micro‑market analytics, advanced credit‑risk models, and personalized customer engagement. The platform enabled 40–50% more data analysis with faster turnaround, real‑time fraud monitoring, improved cross‑selling and risk intervention, and scalable hybrid‑cloud compute to control costs.

Axis Bank

Balaji Narayanamurthy

Senior VP Business Intelligence