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Raysync Helps Financial Big Data Platforms to Overcome Speed Difficulties

2021-09-27

With the rapid development of banking and financial technology, the business contact between banks and financial institutions is becoming more frequent.

Based on abundant big data, financial institutions can make customer portraits of customer investment data, predict the needs of potential customers, and promote competitive products.

According to the customers' consumption data, intelligent recommendations and risk warnings are carried out in combination with the scenario, financial data services are improved, and a scenario-based financial ecosystem is created.

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However, the complexity of the financial market is far more than our imagination. In recent years, it has become an important direction for banks and financial institutions to explore and practice deeply the data assets of banks, accelerate business innovation and enhance customer experience service.

Financial Big Data Platform - Banking and Financial Technology

Financial institutions are not native institutions in the digital field, they must undergo a long-term transformation process of demand analysis and technological revolution. 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.

Small and medium-sized micro-financial institutions have limited credit information and are difficult to credit. Although large-scale financial institutions store a large amount of valuable data, they may not be able to maximize their potential.

Therefore, building a financial big data platform that supports various scenarios such as real-time analysis, interactive analysis, rapid processing, and real-time query of big data can enable enterprises to discover the value of improving customer stickiness from various complex and disorderly massive 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.

    The Data Transfer Challenges Faced by Financial Big Data Platforms

    Financial institutions generate a lot of structured and unstructured data every day.

    Taking banks as an example, China UnionPay involves 4.3 billion bank cards, more than 900 million cardholders, more than 10 million merchants, and nearly 70 million transaction data every day, with core transaction data exceeding TB level.

    The financial business has gained a lot in the practice of big data application, which has prompted more and more data to gather in the data center, and the data scale has continued to expand, which has multiplied various pressures in the financial background, especially in data transmission:

    1. The traditional centralized architecture has low concurrency and cannot cope with the transaction surge;
    2. Data are collected, processed, applied, and analyzed, and output from financial big data service interface to internal source data. The data layer-by-layer transmission requires manual participation and cannot be responded to in time;
    3. There are many internal source systems, and it is difficult for real-time and continuous data disaster recovery backup;

    Risk control only supports simple real-time control of blacklists. Complex rules cannot be processed in real-time. Most of them are mainly processed afterward.

    It is not difficult to find that most of the data transmission problems are caused by the increase in data volume, which is why many financial institutions give priority to data volume in their structural deployment.

    Professional data transfer technology overcomes the transfer difficulty

    Raysync big data solution is a high-speed data transmission path constructed based on the entire data flow path of mass data collection, storage, query and analysis of financial institutions. Driving the flow of massive data and helping financial institutions to dig out real value from massive data information.

    Raysync Financial Big Data Solution

    High-performance transfer technology

    Aiming at the problem of low efficiency of mass data transmission in financial institutions, Raysync breaks through the bottleneck of data transmission at the bottom by providing Raysync ultra-high-speed transmission protocol, overcomes the limitations of traditional network and hardware, makes full use of network bandwidth, and provides ultra-low latency, high speed, and end-to-end output services, which can easily meet the high-efficiency, stable and safe transmission requirements of financial institutions' TB-level large files and systems.

    Point-to-point transfer

    Raysync point-to-point transmission combines 10 kinds of NAT penetration technology combinations with Raysync ultra-high-speed transmission protocol, which enables all clients in the enterprise to establish high-speed transmission channels to realize real-time data transmission and rapid information extraction. The whole P2P transmission process does not need to be transferred through the server, does not need to consume expensive storage space of the server, does not need to be attended to automatically receive files, realizes rapid linkage of financial data, and provides convenience for data interaction among servers in the computer room.

    Data sync and security backup

    File synchronization can be performed on the same computer, on different computers, or even in different places. Raysync uses convenient network operation to intelligently synchronize the local folder with the cloud folder, automatically upload and download, and safely back up. At the same time, a dual-active disaster recovery backup system of a local NAS or SAN storage server is built for a plurality of source systems inside a financial institution, so as to prevent the data of an application server from being illegally deleted and enable security protection for core data.

    Central Control Platform

    Raysync provides a comprehensive and complete management model, supporting the unified maintenance and management of many modules such as node machines, storage, user groups, audit, external chains, etc., making the operation and maintenance work simpler and more efficient.

    With the rapid development of the global IT industry, IT construction in the financial industry has gradually become the core driving force to lead the business development of financial enterprises. The high availability financial big data transmission solution based on Raysync has injected new kinetic energy into its long-term development. We will extend this solution to more banks and financial institutions to promote the development and innovation of the financial industry.

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