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Title
Transforming the Banking Experience with AI
…Login Contact Us Try Databricks Customer Stories / IndusInd Bank CUSTOMER STORY Transforming the banking experience with AI ~98% Faster data insights delivery — from 30 hours to 45 minutes or less 1,200+…
Description
IndusInd Bank migrated to the Databricks Data + AI Platform to build a unified enterprise data platform integrating 1.5 petabytes of data across 44 business areas. Data insight delivery accelerated from 30 hours to 45 minutes or less, the platform supports over 1,200 reports and dashboards, and the enterprise-wide migration was completed in 15 months versus an originally scoped 2.5 years.
…sh cycles made it difficult to deliver timely insights or scale AI initiatives. By migrating to the Databricks Data + AI Platform, IndusInd established a unified enterprise data platform (EDP) that integrates 1.5 petabytes of data across 44 business areas, enabling real-time reporting and advanced analytics for thousands of users. What once took days now happens in minutes, and what was once fragmented is now…
…ries / IndusInd Bank CUSTOMER STORY Transforming the banking experience with AI ~98% Faster data insights delivery — from 30 hours to 45 minutes or less 1,200+ Reports and dashboards supported 15 Months to complete enterprise-wide m…
Company
IndusInd Bank
…rity and Trust Ready to get started? Get a Demo Login Contact Us Try Databricks Customer Stories / IndusInd Bank CUSTOMER STORY Transforming the banking experience with AI ~98% Faster data ins…
Industry
Financial Services
…xt generation of intelligent, customer-centric banking. Share this post Details Industry : Financial Services Use Case : Analytics and Business Intelligence , Artificial Intelligence , Data…
Problem
As IndusInd Bank's operations expanded, its legacy data warehouse was unable to keep pace: fragmented data, limited observability and slow refresh cycles made it difficult to deliver timely insights or scale AI initiatives. The legacy Azure Synapse warehouse could not scale for AI/ML workloads or handle unstructured data, and integration across 95 operational systems and 4,000 datasets spanning 30 departments was unmanageable.
…shift toward modern, technology-enabled banking. As their operations expanded, the bank’s legacy data warehouse was unable to keep pace. Fragmented data, limited observability and slow refresh cycles made it difficult to deliver timely insights or scale AI initiatives. By migrating to the Databricks Data + AI Platform, IndusInd established a unifi…
…els for personalized nudges and social media insights feed campaign automation. The legacy Azure Synapse warehouse was unable to scale for AI/ML workloads or handle unstructured data. “We did not have a comprehensive data approach. Whenever business users were ca…
…s went undetected, leading to a reliance on slow, daily or multi-day refreshes. Integration across 95 operational systems and 4,000 datasets spanning 30 departments was unmanageable. “With our old warehouse, data ingestion took one or two days. We needed to brin…
Solution
IndusInd migrated to the Databricks Data + AI Platform to build a unified enterprise data platform (EDP) featuring real-time data streaming from source systems, built-in data quality checks at ingestion, and data governance frameworks integrated to drive generative AI-driven machine learning models for data science teams. Delta Lake , which provides a medallion architecture to refine and organize data through three stages, sits at the core of the EDP. MLflow manages the ML model lifecycle, Unity Catalog enforces role-based access controls, and Alation integration enhances data discoverability.
…orting. The solution: migrate to Databricks to build a single EDP in the cloud, featuring real-time data streaming from source systems, built-in data quality checks at the time of data ingestion and data governance frameworks integrated to drive generative AI-driven machine learning (ML) models for data science teams across the enterprise. Today, the EDP supports more than 1,200 reports and dashboards for finance, HR…
…nhances discoverability, enabling teams to trust and explore data more quickly. At the core of the EDP is Delta Lake , which provides a medallion architecture to refine and organize data through three stages. Bronze tables capture raw data, Silver tables transform and standardize it and…
…layered design has made the bank’s analytical models more robust and scalable. MLflow helps manage the lifecycle of the EDP’s ML models. It supports versioning, experimentation and deployment across the digital chann…
…nels where real-time analytics are critical. To ensure security and compliance, Unity Catalog enforces role-based access controls across every layer of the data stack. Data trust is further reinforced through 2,800 active data quality rules and co…
…nter transformation is going to get fueled by this data lakehouse,” Shiv noted. Alation integration enhances discoverability, enabling teams to trust and explore data more quickly. At the core of the EDP is Delta Lake , which provides a medallion architecture…
Business value
Data insight delivery accelerated by ~98%, from 30 hours to 45 minutes or less. The EDP now supports over 1,200 reports and dashboards across 44 business areas. The 15-month migration, from engineering design to user onboarding, came in far faster than the 2.5 years originally scoped by leading system integrators. Approximately 75% of users have transitioned to Databricks, with full adoption expected within the year.
…ries / IndusInd Bank CUSTOMER STORY Transforming the banking experience with AI ~98% Faster data insights delivery — from 30 hours to 45 minutes or less 1,200+ Reports and dashboards supported 15 Months to complete enterprise-wide m…
…to Databricks transformed how IndusInd Bank manages, accesses and acts on data. The EDP now supports over 1,200 operational reports and dashboards, empowering teams across 44 business areas with timely and trusted information. Top dashboards, tracking financial indicators such as branch performance, are a…
…BI MSME loan application requirements, which were implemented in just 12 weeks. The 15-month migration, from engineering design to user onboarding, exceeded expectations. “Most of the leading SIs [system integrators] told me it was a two-and-a-half-y…
…it faster, and they did it in 15 months, which is a major success,” Shiv added. Approximately 75% of users have transitioned to Databricks, with full adoption expected within the year. Looking ahead, IndusInd is exploring generative and agentic AI to enhance custo…
AI capabilities
Generative AI, Machine Learning
…source systems, built-in data quality checks at the time of data ingestion and data governance frameworks integrated to drive generative AI-driven machine learning (ML) models for data science teams across the enterprise. Today, the EDP supports more than 1,200 reports and dash…
Technology
Databricks, Delta Lake, MLflow, Unity Catalog, Alation, Power BI, Solace, Delta Sharing, Lakeflow, Microsoft Azure, Agent Bricks
…nd Security , Data + AI Platform , Data Sharing and Collaboration Cloud : Azure Product : Agent Bricks , Delta Lake , Unity Catalog Ready to get started? Try Databricks for free Talk to an expert Why Databricks…
…e Azure services while Databricks handles processing, governance and analytics. Power BI dashboards provide real-time insights to business users, while Solace middleware and Databricks streaming connectors enable low-latency ingestion for operational decision-making. By unifying their architecture on Databricks,…
Business functions
Finance & Accounting, Human Resources
…chine learning (ML) models for data science teams across the enterprise. Today, the EDP supports more than 1,200 reports and dashboards for finance, HR and operations. Automated reporting powers account management and HR insights, while behaviora…
Deployment model
Cloud
…e has boosted performance and cost efficiency, with further migrations planned. Built entirely on Microsoft Azure, the EDP integrates with native Azure services while Databricks handles processing, governance and analytics. Power BI dashboards provide real-time insights to business users, while Solace…
Deployment options
cloud
…e has boosted performance and cost efficiency, with further migrations planned. Built entirely on Microsoft Azure, the EDP integrates with native Azure services while Databricks handles processing, governance and analytics. Power BI dashboards provide real-time insights to business users, while Solace…
Headline outcome
…ries / IndusInd Bank CUSTOMER STORY Transforming the banking experience with AI ~98% Faster data insights delivery — from 30 hours to 45 minutes or less 1,200+ Reports and dashboards supported 15 Months to complete enterprise-wide m…
Use case type
Personalisation
…t wave of growth. “We want to be the AI-first bank. And given that requirement, our data lakehouse plays a major role in supporting real-time engagement and hyper-personalization for our customers,” Shiv Kumar Bhasin, Chief Transformation Officer at IndusInd Bank, said. To en…
