Cloudera Case Studies Axis Bank's Data-Driven Transformation with Cloudera

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	Axis Bank's Data-Driven Transformation with Cloudera Cloudera

Axis Bank's Data-Driven Transformation with Cloudera

Cloudera

Technology Category	Analytics & Modeling - Big Data Analytics Analytics & Modeling - Machine Learning
Applicable Industries	Finance & Insurance Retail
Applicable Functions	Procurement Warehouse & Inventory Management
Use Cases	Building Automation & Control Predictive Maintenance
Services	Cloud Planning, Design & Implementation Services Data Science Services
Challenge	Axis Bank, the third-largest private-sector bank in India, faced the challenge of adapting to the increasing demand for digital banking. With over 20 million customers and more than 4,500 branches, the bank needed to leverage big data and data analytics to boost profitability, manage risk, and improve operations. The shift towards digital banking services required Axis Bank to expedite its transformation to data-driven operations to meet changing customer needs. The bank needed to improve its understanding of the required data and the business problems it could solve. Simply collecting, storing, and managing data without a clear strategy or business objective would not create any real value. The bank also faced scalability challenges with its on-premises systems, which had difficulty integrating with cloud applications and could not facilitate ad-hoc analysis requirements for machine learning and artificial intelligence teams. Read More
About Customer	Axis Bank is the third-largest private-sector bank in India, with over 20 million customers and more than 4,500 branches. The bank is a leader in data-led transformation, using big data and data analytics to boost profitability, manage risk, and improve operations. In response to the increasing demand for digital banking, Axis Bank has been able to deliver and transform the banking experience for individuals and companies. The bank offers over 250 services on digital channels and has over 10 million monthly users on its mobile application, making it one of the top-rated players in mobile banking. Read More
Solution	To address these challenges, Axis Bank decided to build a strong data culture, replacing decision-making based on past experience or gut feeling with data-driven decisions. The bank made significant investments in technology to meet today's data-driven demands. Cloudera proposed solutions on Cloudera Data Engineering (CDE), Cloudera Data Warehouse (CDW), and Cloudera Machine Learning (CML) to improve Axis Bank's multi-cloud flexibility, security compliance, and provide consistent experiences for on-premises and public cloud. Axis Bank's core systems now collect application data, transaction-level data, and collections information across each customer's lifetime. The Cloudera EDH cluster integrates and analyses 750 terabytes of data from several sources in Axis Bank's systems, enabling the bank to generate insights for providing the best services and products. Axis Bank is also adopting a data mesh mindset, enabling a new level of analytics and setting up a best-in-class personalisation engine. Read More Log in to view content
Contents

Technology Category

Analytics & Modeling - Big Data Analytics

Analytics & Modeling - Machine Learning

Applicable Industries

Finance & Insurance

Retail

Applicable Functions

Procurement

Warehouse & Inventory Management

Use Cases

Building Automation & Control

Predictive Maintenance

Services

Cloud Planning, Design & Implementation Services

Data Science Services

Challenge

Axis Bank, the third-largest private-sector bank in India, faced the challenge of adapting to the increasing demand for digital banking. With over 20 million customers and more than 4,500 branches, the bank needed to leverage big data and data analytics to boost profitability, manage risk, and improve operations. The shift towards digital banking services required Axis Bank to expedite its transformation to data-driven operations to meet changing customer needs. The bank needed to improve its understanding of the required data and the business problems it could solve. Simply collecting, storing, and managing data without a clear strategy or business objective would not create any real value. The bank also faced scalability challenges with its on-premises systems, which had difficulty integrating with cloud applications and could not facilitate ad-hoc analysis requirements for machine learning and artificial intelligence teams.

About Customer

Axis Bank is the third-largest private-sector bank in India, with over 20 million customers and more than 4,500 branches. The bank is a leader in data-led transformation, using big data and data analytics to boost profitability, manage risk, and improve operations. In response to the increasing demand for digital banking, Axis Bank has been able to deliver and transform the banking experience for individuals and companies. The bank offers over 250 services on digital channels and has over 10 million monthly users on its mobile application, making it one of the top-rated players in mobile banking.

Solution

To address these challenges, Axis Bank decided to build a strong data culture, replacing decision-making based on past experience or gut feeling with data-driven decisions. The bank made significant investments in technology to meet today's data-driven demands. Cloudera proposed solutions on Cloudera Data Engineering (CDE), Cloudera Data Warehouse (CDW), and Cloudera Machine Learning (CML) to improve Axis Bank's multi-cloud flexibility, security compliance, and provide consistent experiences for on-premises and public cloud. Axis Bank's core systems now collect application data, transaction-level data, and collections information across each customer's lifetime. The Cloudera EDH cluster integrates and analyses 750 terabytes of data from several sources in Axis Bank's systems, enabling the bank to generate insights for providing the best services and products. Axis Bank is also adopting a data mesh mindset, enabling a new level of analytics and setting up a best-in-class personalisation engine.

Impact #1	Axis Bank's digital transformation has resulted in a significant improvement in its operations. The bank's data-driven approach has enabled it to understand customer needs better and offer personalized services. The bank's core systems now collect and analyze a vast amount of data, enabling it to generate insights that enrich the customer's banking experience. The bank's move towards adopting a data mesh mindset has enabled a new level of analytics, including building alternate data platforms and deploying use cases across credit, fraud, and marketing analytics. The bank has also developed a best-in-class personalisation engine that delivers a distinctive customer experience by taking into account various data categories and information provided by machine learning models.

Impact #1

Axis Bank's digital transformation has resulted in a significant improvement in its operations. The bank's data-driven approach has enabled it to understand customer needs better and offer personalized services. The bank's core systems now collect and analyze a vast amount of data, enabling it to generate insights that enrich the customer's banking experience. The bank's move towards adopting a data mesh mindset has enabled a new level of analytics, including building alternate data platforms and deploying use cases across credit, fraud, and marketing analytics. The bank has also developed a best-in-class personalisation engine that delivers a distinctive customer experience by taking into account various data categories and information provided by machine learning models.

Benefit #1	66% of personal loans are processed via database programs
Benefit #2	79% of new credit cards sourcing and 100% of portfolio exposure increase via data-driven strategy
Benefit #3	The Cloudera EDH cluster integrates and analyses 750 terabytes of data

Benefit #1

66% of personal loans are processed via database programs

Benefit #2

79% of new credit cards sourcing and 100% of portfolio exposure increase via data-driven strategy

Benefit #3

The Cloudera EDH cluster integrates and analyses 750 terabytes of data

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Overview

Axis Bank's Data-Driven Transformation with Cloudera

Operational Impact

Quantitative Benefit