DNA of Fintech Data Chain

DNA of Fintech Data Chain

At the 2020 Financial Street Forum Annual Meeting, Fan Yifei, Deputy Governor of the Central Bank, talked about new initiatives for the integrated development of finance and technology. The first one was to "strengthen the foundation and give full play to the multiplication effect of data elements", emphasizing the deep exploration of application scenarios and the use of massive multi-dimensional data to achieve "information integration, feature association and business insight". Financial enterprises were officially connected to the "cloud-pipe-edge-end" financial technology data chain to achieve information integration and feature association, which was put on the agenda of financial technology. The Internet experience brought by BATJ was used as a reference standard to achieve service accessibility in the localization environment, and to ensure the improvement of user experience through the full-stack traceability of VIP user access.

The post-95 generation has gradually become the main force in the consumer market. The Z generation, who have been living in favorable conditions since childhood, has huge consumption potential. They are more eager for a free and flexible life, especially with extremely high requirements for the availability and experience of online services. In the process of digital transformation of financial enterprises, they will face new challenges in the transformation of traditional data center management, such as user experience monitoring, CDN edge node monitoring, cloud native service monitoring, microservice monitoring, etc., and integrating these new monitoring and management methods and opening up the financial technology data chain will become a new round of technological innovation hotspots to improve service availability, improve user experience, and meet the high requirements of the Z generation.

Taking electronic banking as an example, the opening of the financial technology data chain requires three links of DNA, namely:
- D EM (Digital Experience Management): User digital experience management,
Including client APP experience monitoring, browser experience monitoring, mini program experience monitoring, browser dialing test and mobile phone real machine dialing test and other technologies
- N PM (Network Performance Management): Network Performance Management,
Through probe technology, BigIP big data engine, Nginx Telemetry and other technologies, network transmission path discovery, anomaly discovery and fault discovery are achieved.
- A PM (Application Performance Management): Application Performance Management,
Through bytecode injection and microservice probes, code running efficiency, SQL call efficiency, PaaS API call logic tracking, and microservice performance monitoring can be achieved without changing the application code.

After obtaining experience data, network data, and code execution efficiency data from different links, it is necessary to integrate information and associate features through DataView's big data platform. The full-stack traceability of the access process for VIP users can be achieved to improve user experience; at the same time, intelligent baselines and intelligent alerts can be achieved after machine learning; root cause analysis can be achieved through AI artificial intelligence, and solutions and methods can be proposed. Even pre-configurations that have been verified through API calls can be implemented to achieve one-click changes and one-click cutovers.


According to the current usage of customers, the architecture of Fintech Data Chain DNA can help customers multiply the data elements:
1. "Information Integration": Integrate user experience data, network performance data, application performance data, application availability data and other information to achieve unified collection, storage and management. Through API calls, one-time collection and multiple subscriptions by various departments are achieved. When a customer gave feedback on the improvement of service accessibility, he said: The 1.2% improvement in service accessibility is not just an improvement in experience. The 1.2% power saving in the data center alone is the great value that Borei Data has brought to us.
2. "Feature association": Through big data analysis and user identification, the association relationship between user access, network transmission, cloud service, API call and other links is established to achieve full-stack traceability, truly help electronic banking business, and integrate the monitoring and management methods of existing platforms, cloud native platforms, domestic platforms, and microservice platforms while ensuring stable and reliable social responsibilities. The electronic banking of a user of a large bank found that part of the reason for the user's login failure was the delay of the operator's authentication SMS. Through the customized monitoring of the SMS gateway between the customer and the operator by Borui Data, the related faults were discovered and eliminated, and the data standards for service quality were established to enhance the bargaining power of the bank and the operator and improve the user experience.
3. "Business Insight": Use financial language to report the input and output of the data center. After establishing infrastructure investments such as bandwidth, computing power, and storage, discover the correlation between specific user experience/user retention rate/monthly active users, API call efficiency, and code operation efficiency, providing a direct reference for business expansion.

The financial technology data chain DNA connects the "cloud-pipe-edge-end" through the big data platform, and realizes "information integration, feature association and business insight" through machine learning and artificial intelligence, helping financial companies to cope with the high requirements of Generation Z for service accessibility and application experience in the context of localization, achieve a relative balance between stability and reliability and agility and speed, and promote the integrated development of finance and technology.

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