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ARTICLE

         prise to help business analysts and non-programmers. This
         web based browser tool provides a spreadsheet-like analy-
         sis tool to work with "big data" which supports popular data
         formats such as JSON data, comma-separated values (CSV),
         tab-separated values (TSV), character-delimited data and
         others.

         Examples of Big Data Analysis done by

         Bank
         Some of the banks have started using the Big Data and have
         moved from basic reporting to analytics and are heading  Here are some of the outcomes of the Big Data Analytics
         towards predictive analytics.                        done by banks and the outcome of the analytics :

           BANK               ANALYTICS DONE                 MAJOR OBSERVATION           OUTCOME
           Bank of America     Using 'Grid Computing' platform  Operational efficiency would  Reduction in loan default
                              for detection of high-risk     increase if early detection of  calculation time for a
                              accounts                       high-risk accounts are done  mortgage book of more
                                                                                         than 10 million loans
                                                                                         from 96 hours to just
                                                                                         four hours
           Rabobank           Analyzing criminal activities  Proximity of highways, and the Able to find the best
                              at ATMs using web data (click  season and weather conditions locations for ATMs and
                              behavior), social network data,  increased the risk of criminal  also to address the
                              public data from government    activities.                 data ownership of its
                              sources and macrotrend data                                customers.
           Barclays Bank      Real-time social media analytics  App is gathering Negative  Improvement of their
                              to obtain the feedback of their  comments from the teenagers  app promptly by
                              product mobile banking app     as well as from their parents  reducing the accessing
                              when it was launched           as it did not allow young   age to 16 years
                                                             consumers under 18 to
                                                             transfer or receive money
           HDFC Bank          Analyses of  customer lifecycle  Targeting promotions with  Significant increase in
                              events using internal and social  personalized messages to each the number of credit
                              media data                     of the identified lifecycle  card activations and
                                                             segments is easier          reduction in cost per
                                                                                         acquisition of each
                                                                                         customer.
           State Bank of India  Analysis of Complaint        a) In terms of relationship  Helps Banks Limit
                              Management Data to identify    with the Bank, customers with  Customer Attrition
                              major complaint areas and ways  relationship of 5 to 10 years
                              for improvement.               have registered maximum
                                                             number of complaints.
                                                             b) Complaints related to
                                                             Branch: Reception & Services


            44 | 2017 | APRIL                                                              | BANKING FINANCE








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