Cloudera enables YES BANK’s Digital Strategy in Business Deployment

In a recent announcement, Cloudera, Inc. has said that YES BANK has adopted Cloudera Enterprise Data Hub to develop customized campaigns for consumers throughout their customer journeys.

Cloudera Enterprise empowers YES BANK to transform their growing volumes of transactional and customer data from their digital services into clear and actionable insights by using real-time analytics and machine learning. With Cloudera Enterprise, Banking, Financial Service and Insurance (BFSIs) like YES BANK can now mine large volumes of data from financial transactions and create machine learning algorithms to support information-driven business decisions and revenue growth.

Commenting on the development, Anup Purohit, Chief Information Officer, YES BANK, said, “Cloudera Enterprise is now the bedrock of our company’s digital strategy. With its successful track record of working with several other leading BFSIs across the globe, YES BANK decided to deploy a modern platform to provide a differentiated digital experience for our customers through intelligent, real time analytics.”

Also, in context to escalating cyber attacks, BFSIs also recognize the importance of a safe and secure data management platform that is compliant with the latest industry regulations. Cloudera Enterprise enables YES BANK to reduce the cost of compliance in today’s digital age and transform existing processes through machine learning and predictive modelling, eliminating risk and detecting fraud faster and smarter by utilizing massive amounts of data to effectively train their systems.

“BFSIs today are competing to create enhanced products in a world where consumers are demanding the most convenient and customized journeys. As such, business leaders are pressured to keep up with the latest technology solutions to deliver unparalleled experiences for their customers,” said Mark Micallef, Vice-President, Asia-Pacific and Japan, Cloudera.

He added, “Cloudera empowers BFSIs like YES BANK with a scalable and secure data analytics and machine learning platform to use data in ways not possible before and enables organizations to derive business insights for revenue growth, all the while maintaining a high standard of security and ensuring compliance to industry regulations.”