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Ways Big Data Creates a Better Customer Experience In Fintech

Smart Data Collective

How Big Data Helps Fintech Companies And Startups To Better Serve And Protect Their Customers. Fintech analytics helps businesses in the financial and banking industry offer satisfactory services by: Enhancing View Of Customer Profiling. Big Data provides data that fintech companies can leverage to build customer profiles.

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Freelancers Use Big Data To Streamline Cryptocurrency

Smart Data Collective

Cryptocurrency is a digital currency that is gaining popularity across the globe as a better alternative for transacting payments. Big data is building on these advantages, especially where real-time data is available. We will also cover how big data can be used to improve on them. Less Costly Transactions.

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5 Sure-Fire Tips How AI Is Going to Improve Fintech in 2021

Smart Data Collective

Artificial intelligence (AI) and machine learning (ML) are two technologies that use digital technology to improve conventional financial services and solutions. Fraudulent activity has always been a major issue for financial institutions such as banks and insurance companies. Detection and prevention of fraud.

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Predictive Analytics Made Last Summer The Season Of Altcoins

Smart Data Collective

This wouldn’t have been the case without growing advances in big data and predictive analytics capabilities. Sales of alternative digital coins were so impressive this past summer that some pundits in the crypto currency market have called it the “Season of Altcoins”. Predictive Analytics Continues to Shape the Altcoin Market.

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Machine Learning Transforms Life Insurance Beyond the Actuarial Process

Smart Data Collective

Comprehensive digital visions and AI strategies, on the other hand, are still a rarity in this sector. Banks and insurance firms are deriving high benefits from AI in customer engagements, yet the initiatives are not scaled,” the report states. Capgemini states that many insurance companies recognize the need to invest more in AI.

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How Will The Cloud Impact Data Warehousing Technologies?

Smart Data Collective

sThe recent years have seen a tremendous surge in data generation levels , characterized by the dramatic digital transformation occurring in myriad enterprises across the industrial landscape. The amount of data being generated globally is increasing at rapid rates. Big data and data warehousing.

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Automated Credit Risk Assessment: How ETL Is Unlocking Better Investments

Astera

End-to-End Credit Risk Assessment Process The credit risk assessment is a lengthy process where banks receives hundreds of loan applications daily from various channels, such as online forms, email, phone, and walk-in customers. The data pipeline is prone to errors and failures, such as network issues, server downtime, data corruption, etc.

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