How Large File Transfers Drive Big Data Platforms for Finance

financial data

What’s Financial Big Data Platform?

It is a financial ecosystem based on big data technology and leveraging data-driven value.

Safely handle millions of transactions

Banks and financial institutions must process, monitor, track, and report on various forms of financial payments, and millions of transactions per day cannot be separated from safety supervision. The financial big data platform integrates its payment business into a single platform, opens a single access portal for specific personnel, accelerates customer service, and simultaneously has the characteristics required by financial institutions: security, compliance, and continuity, which are subject to unified central control.


Design a customer-centric experience with data

Understand and predict customer needs and interactions, so as to improve customer experience and build long-term loyalty. If banks focus on creating a digital banking customer experience, the analysis of data from multiple sources through the financial big data platform can help to be customer-centric, answer customer questions at a digital speed, and thus achieve the effect of improving the customer experience.


Risk control with data

It is difficult for financial institutions to control enterprise risks, and the continuous enrichment, improvement, and sharing of data will be an effective means to solve this problem. Under the situation that it is difficult to grasp the market risks in time, the establishment of financial big data platforms combined with multi-dimensional data can improve the industry's data collection and risk analysis capabilities, and help financial institutions to identify, measure, and manage the risks of financial institutions more efficiently.


Achieve scalability and security sustainability with the cloud

Many of the applications that modern financial institutions have run on a diverse ecosystem of locally deployed, private and public clouds. The financial big data platform employs a hybrid cloud strategy that can be used to establish connectivity as well as provide protection, enabling secure connectivity to a wide range of services across the entire ecosystem.

Financial institutions are not native institutions in the digital field, they must undergo a long-term transformation process of demand analysis and technological change. The driving force behind this transformation is a variety of data, including structured data from management information within the enterprise, and more unstructured data that exists in multiple sources or is not captured within the company.

Conclusion

In order to ensure that the financial big data platform carries huge amounts of data and drive the data to interact with each other efficiently to bring its value into full play, [Raysync](https://www.raysync.io/) Speed Transmission has formulated a set of accelerated solutions for big data transmission for banks and financial institutions. This set of solutions can efficiently and safely get through the entire business process of financial institutions, without the need to invest high hardware and labor costs. It already has good system compatibility, and can be seamlessly integrated with the existing systems of enterprises and put into use quickly.

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