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Banking and Finance

Big Data and Predictive Analysis can help banks gain invaluable insight on customer behavior and preferences leading to better product offerings, new business opportunities and increased profit.

Insurance

The dynamic nature of the insurance industry requires instant business decisions. Data analytics can provide insurance companies with the right information leading to correct decisions with regards to defining the premium rates, detecting false claims, determining risks and coming up with sellable offers.

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Telecommunication

By using analytics to learn more about their customers, their behavior and trends, telecom companies can come up with tailored packages that are more likely to be successful in this competitive industry.

Remit

Remittance in data science and machine learning processing solution helps provide organizations with the right customer insights leading to newer revenue sources through cross-sell and upsell.

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Health

The healthcare assiduity generates a tremendous quantum of data but struggles to convert that data into perceptivity that ameliorate patient issues and functional edge. Data analytics in healthcare is intended to help providers overcome obstacles to the wide operation of data- deduced intelligence.

Payment Service Provider (PSP)

A PSP can connect to multiple acquiring banks, card, and payment networks. In numerous cases, the PSP will completely manage these specialized connections, connections with the external network, and bank accounts and thus takes care of the specialized processing of payment styles for online shops.

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Payment Service Operators (PSO)

PSOs and PSPs shall provide an electronic platform for clearing, processing, routing and switching of electronic transactions. It can make agreements with Banks, FIs and other PSOs and PSPs Merchants, e-commerce service providers and any other company for the provision of services mandated to the PSO and PSP.

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