SUMMARY

This report provides a road map for traditional banks to use big data analytics in their business operations. It mainly focuses on data-related challenges for banks at both strategic and operational business levels and also suggests some best practices for applying data analytics solutions to the problems. The report further explains the current scenario of banks using data analytics in the business domains of customer engagement, credit monitoring, ATM location decisions, credit scoring, and others. It talks about big data technologies such as Hadoop and Spark. The report concludes by detailing steps for implementing data analytics in bank operations.

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