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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
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44 | 2017 | APRIL | BANKING FINANCE
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