Cloudera, Inc., the leading provider of the
modern platform for machine learning and advanced analytics, announced that YES
BANK, one of India’s largest private sector banks, 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.
Banking,
Financial Service and Insurance (BFSIs) across the region are struggling to
keep pace with the vast amount of customer data that they collect in today’s
consumer-centric mobile economy.With Cloudera Enterprise, 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 at 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.”
Today,
YESBANK issuing big data and analytics to cross-sell and up-sell opportunities
for the business, while providing a customized experience for consumers across
the bank’s digital channels and identifying and rectifying any inconveniences
during the customer journey.
With
the growing risk of cyberattacks, 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.
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