top 5 big data use-cases in banking & financial services
TRANSCRIPT
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1. Fraud Detection and Security Prevent fraud by leveraging analytics, machine learning, and Big Data
technology to gain a holistic view of customers, identify patterns buried in data,
cluster information, and distinguish fraudulent activity from normal activity.
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2. Compliance and Regulatory Reporting Comply with a key provision of the Dodd Frank Act that requires big swap
traders to document everything that goes into each swap trade by
implementing a deal monitoring system based on a new generation of Big
Data technology
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3. Customer Segmentation Group customers into different segments to support sales, promotion, and
marketing campaigns by collecting and analyzing all available data and using
Big Data technology to mine for intelligence from underlying data.
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4. Risk Management Support new regulations and increasing demand for better internal
management support by implementing a central, integrated finance and risk
management data platform that can quickly and flexibly address new
requirements
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5. Personalized Product Offering Target new product and service offerings to the right customers by
implementing software that supports flexible and integrated processes for
understanding customer buying habits, what channels customers listen to, and
who the key influencers are.
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