In the content of Yuanqi Data Asset Management Platform to help financial institutions accelerate the process of data assetization (Part 1), it mainly talks about the development history and technology trends of data management in the financial industry, management hot spots, management pain points, etc. In today's article, I will continue to interpret the development process and application of "Yuanqi Data Asset Management Platform.
4. Yuanqi Data Asset Management Platform
Based on the trends and hotspots mentioned above, in order to solve the pain points of the majority of financial customers, CLP Jinxin launched the Yuanqi data asset management platform. Yuanqi data asset management platform consists of six parts: data lake management platform, data integration platform, data development platform, data management and control platform, data service platform and data asset operation platform.
The characteristics of Yuanqi Data Asset Management Platform are as follows:
First, the integrated development platform is based on the concept of DataOps and is driven by metadata. From requirements to models, to scheduling, to data and approval, it can solve the multi-platform relationship we are talking about and also build multiple platforms. adaptation.
Second, the data governance platform is based on metadata and data standards. Through data quality inspection and built-in data quality rules, it realizes the process of creating a map of the entire bank's data assets and helps the data management department achieve rapid Data grabber. The data integration platform and data service platform can solve the problem of rapid data collection and multi-mode application, and can use text, reports, multi-dimensional and message methods to comprehensively meet relevant needs. The data asset operation platform can assist customers in realizing asset confirmation, pricing, disposal, services and other related content. It can be said that each module is an independent module that can be installed and deployed independently or combined together. It can not only match the needs of customers from data collection and processing to component-based integration with the original organization, but also match the requirements of small and medium-sized enterprises. The characteristics of the client's end-to-end, FamilyMart data center can meet the needs of financial institutions of different sizes.
Third, it has the characteristics of multi-platform adaptation and openness. Yuanqi data asset management platform is based on the PKS system of China Electronics, and its own genes have the characteristics of localization, but it is not a closed system. Yuanqi data asset management platform has been adapted to the mainstream database platform, scheduling platform, exchange platform and related middleware platforms in the market.
Finally, fully meet the requirements of cloud native. The Yuanqi data asset management platform is actually part of China Electronics' financial-grade digital base "Yuanqi". The "Yuanqi" platform itself is a comprehensive cloud-native architecture. As an important module, the data asset management platform itself is also completely Meet cloud native architecture requirements.
5. “1+2+3” data asset consulting system promotes the digitalization process of enterprises
In order to better meet the various needs of customers, CEC Jinxin has launched a “1+2+3” data asset consulting system. Through such a consulting system, on the one hand, it can help customers and tell them what they should do, and on the other hand, it can launch relevant products for customers to help them achieve relevant goals.
In China Electronics Jinxin’s “1+2+3”, “1” refers to a management platform used to solve related data online and electronic problems; “2” refers to two systems, one One set is the data security compliance system, and the other is the data asset operation system; "3" refers to the three functions, which is what we call data resourceization, data assetization, and asset valueization. Through the "1+2+3" system, China Electronics Jinxin can provide end-to-end solutions from data planning, data development, data implementation and entire data management.
6. "China Electronics Financial Information Data Governance White Paper" comprehensively explains the construction system of digital bank data governance
Under the trend of digital transformation, external supervision and internal data use have put forward more efficient, more accurate, more complete and more compliant requirements for data governance. How can enterprises seize the requirements of the new situation and carry out their own data governance work?
China Electronics Financial Trust has long been committed to practice and research in the data field of financial institutions, and has gradually accumulated and formed a complete set of methodologies for data asset management. In mid-December 2022, it released the "China Electronics Financial Trust Data Governance White Paper". On the one hand, the white paper summarizes some of the problems encountered during the entire implementation and consultation process of data governance and our suggestions; on the other hand, it provides different methods for promoting data governance work for various types of customers. Find the starting point for relevant data governance.
7. Business value: Promote rapid digital transformation and accelerate the process of business digitization and data commercialization
Through the Yuanqi Data Asset Management Platform, the "China Electronics Financial Trust Data Governance White Paper" and the "1+2+3" data governance consulting system, what kind of business value can China Electronics Financial Trust bring to the business team?
Mainly in the following four aspects:
■ 1. Reversely promote the development of the entire business through a data-driven approach
Today's digital transformation is often a transformation of thinking, and the transformation of thinking often relies on a large amount of data support and auxiliary decision-making. A good data governance system and data governance platform can help the business in a data-driven manner, thereby promoting the digital transformation of the entire business.
■ 2. Quickly address the data needs of business transformation
Through relevant data asset management platforms, middle platforms for different business objects can be quickly built, including customer middle platforms, risk middle platforms, financial middle platforms, and regulatory middle platforms. The construction of these middle platforms can help enterprises solve related digital transformation processes. rapid demand for data.
■ 3. Help enterprises achieve the second growth curve
Today, all enterprises have actually reached a critical point in their development. As data is an important factor of production, how can data be transformed into assets? How to help businesses realize the process of data capitalization is actually a process of helping companies find the second growth curve.
■ 4. Solve the problems of difficult access and long time to obtain data
Through the relevant data service platform, we can support different models to solve the problems of difficult data retrieval and long time for users to obtain data.
Through these four perspectives, the Yuanqi data asset management platform and data governance consulting system can assist the business in rapid digital transformation and solve the process of business digitalization and data commercialization.
Next, I will share with you two examples.
■ Case 1
This is a new generation of data middle-end system developed in cooperation with a major state-owned bank. From this example, we can see that the Yuanqi Data Asset Management Platform was used throughout the entire project, from data collection to application. At the same time, we have built a lake-warehouse integrated architecture in the project, which can meet the rapid access and access of data.
In addition, we have also implemented a map of the entire bank's data through the data asset module, and used the product's own data migration tool to achieve one-click migration, which can help customers quickly build their own middle-end systems.
■Case 2
In cooperation with a leading city commercial bank, we used data asset tools to create a data asset management platform. As you can see, the leftmost side of the above picture is the current situation faced by a leading city commercial bank, including common problems such as data clutter, data islands, and relatively low circulation efficiency. Moreover, a lot of their data requires manual input, which reduces work efficiency. lower.
Through the Yuanqi data asset management platform, we worked with the business department to conduct an inventory of the entire data assets, and reversely promoted the relevant data governance work through the asset inventory to solve the problem of data quality. At the same time, we combine enterprise architecture modeling with the model design of the entire data platform to form a set of enterprise-level models that support both application models and data models, so that data unification can be well achieved.
Finally, we have centralized management for the entire asset. Through the Yuanqi data asset management platform, the bank quickly realized the unification of assets, the consistency of modeling and other functions, and quickly and effectively helped this leading city commercial bank realize the digital transformation of the bank.
8. Based on "Yuanqi" as the cornerstone and driven by continuous innovation, support the digital application of the financial industry
Finally, briefly introduce CLP Financial and the data team of CLP Financial. China Electronics Financial Trust has ranked first in the IDC banking solution market for five consecutive years. Based on China Electronics' financial-grade digital base "Yuanqi", China Electronics Financial Trust can fully support all applications of financial institutions. It includes four directions : The first is digital business, such as core Internet banking, etc.; the second is digital marketing, such as CRM, equity, intelligent investment advisory, etc.; the third is digital risk control, including Basel’s entire system and internal risk management; the fourth is digital risk control, including Basel’s entire system and internal risk management; Digital operations, such as driving management, financial management, performance management, etc. Among the 23 subdivided solution markets in the entire IDC, 12 of CEC Jinxin ranked top three, and 5 of them ranked first in the entire market ranking.
China Electronics Jinxin's big data team currently has more than 6,000 people. Its main businesses include data platform, data application, data service and data consulting, such as data architecture, data model, data asset management, etc.
Overall, China Electronics Financial Trust’s big data team is currently the largest, most professional, most innovative, and most cooperative team in the entire financial institution. In the future, we will continue to work with our financial customers to promote the digital transformation of the entire bank based on the Yuanqi data asset management platform, the "1+2+3" data governance consulting system and China Electronics Financial Trust's strong big data team capabilities. Work. (over)