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Big Data analytics and banking

In the years, succeeding the financial crisis, the banking sector was restructured ranging from changes in regulations to customer service. The major problems that banks are facing include customer dissatisfaction, fraud, increased competition and regulations and all these issues can be solved using Big Data analytics. By leveraging transactional, behavioral and social data, banks can provide a hyper-personalized customer service. Risk management is another area where analytics can be of help. Big Data analytics can detect cybercrimes and predict the location of attack. It can also identify deviation in customer behavior which is indicative of fraud. Big Data technologies can be used to integrate external watch list screening system and unstructured emerging data sources. There is a huge scope for newcomers in Fintech sector to exploit Big Data as they are built keeping analytics in mind. The big banks should adopt new technologies to leverage the wealth of data they possess and maintain a competitive edge. Read more at:https://channels.theinnovationenterprise.com/articles/analytics-in-banking

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Tuesday, 23 April 2019
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