In 2019, China Merchants Bank mentioned in its annual work report that "it is necessary to continuously optimize the data analysis environment and analysis tools, lower the threshold for data use, and support the data analysts of the whole bank to use data independently and agilely"; Taiwan construction strategy, as one of the seven core tasks in the data center, branch data empowerment has been elevated to the strategic height of the head office.
What is financial self-service BI? How does bank BI generate real business value? How does bank BI achieve rapid promotion in the whole bank?
Taking "independence" and "agility" as the direction and goal of data empowerment, China Merchants Bank joined hands with Guanyuan Data Bank BI to promote the construction of a data cloud platform. So far, the bank has more than 20,000+ users actively using the data cloud platform Guanyuan Data Bank for data analysis, and the business personnel of each branch can independently and quickly build data analysis applications through the bank BI data analysis platform, data analysis Efficiency increased by 500%.
The structure management team conducted in-depth research and communication with the branch many times, and summarized the number of branches of China Merchants Bank and the pain points of BI upgrade:
1. Lack of a complete and systematic data development platform, the work of data development is scattered and fragmented, and the operation and maintenance costs are high;
2. Lack of methodology for data governance and management, and no relevant tools to manage data assets, data quality, data security, etc.;
3. Limited by the structure of the traditional data warehouse, it is impossible to store and analyze massive customer behavior data, and it is difficult to formulate differentiated marketing plans for customer behavior.
While branches are facing many problems, the demand for business self-service usage is also growing; developers hope to have a set of fast self-service and visual development tools to meet the rapid growth of business needs; Freed from maintenance work.
Under the guidance of the strategic direction of the data center, based on the pain points and scenario needs of the above branches, combined with the opportunity of the construction of China Merchants Bank's private cloud platform ACS, the "Data Cloud Service" project came into being.
The core of data cloud service is mainly: platform, data, and operation. Through the three-in-one capability, it provides self-service and visualized data services for branch business personnel, developers, and operation and maintenance personnel, effectively meets the needs of branches in self-service data usage, and quickly responds to business changes. At the same time, through flexible task and resource scheduling, Realize the centralized management and control of resources, and fully support the data usage requirements of China Merchants Bank branches on the cloud.
1. Platform
The platform includes a big data computing platform and a bank BI visualization platform, both of which are indispensable. The positioning of the big data platform is the complex processing of batch data; the bank BI visualization platform is based on the big data platform, providing users with simple data processing and rich visualization functions.
Big data computing platform: Guided by the concept of DataOps, it is a one-stop data development tool that supports data collection, design, processing, query, scheduling and CDH/CDP cluster management. At present, 40%+ users of the platform are from business personnel, which has significantly improved the efficiency of the entire data processing link. The efficiency of data delivery has increased by 75 times, the efficiency of data loading has increased by 10 times, and the efficiency of data processing has increased by 20 times.
BI visualization platform: Business personnel without technical background can carry out visual report design, data analysis and exploration, and large-screen and mobile display through drag-and-drop operations. By the end of 2021, the cumulative number of active users has exceeded 40,000, and 53% of the branch users have achieved independent use; the average monthly visits have reached 4 million, and business users accounted for more than 95%, gradually realizing data sharing. "Civilianization".
2. Data
Based on the above two platforms, China Merchants Bank began to build a data model that provides a data basis for branch data analysis, establishes a data warehouse hierarchical processing system, and shares data processing results between branches, including the following three parts.
(1) 1. Establish a branch business analysis-oriented data base layer: use dimensional modeling to establish a data model for multi-dimensional analysis; improve analysis efficiency and reduce invalid redundancy.
(2) 2. Establish an indicator layer with clear caliber and flexible expansion: establish core atomic indicators and indicator derivation specifications; establish indicator caliber management and life cycle management system.
(3) 3. Establish a business application-oriented data matrix layer: oriented to data analysis applications and oriented to business usage habits.
3. Operation
As users continue to use the platform, their requirements for the platform are getting higher and higher. How to use bank BI to fine-tune the management of the platform, further improve the stickiness and user experience of branch users, improve the data capability and service efficiency of branches, and effectively empower businesses. These are some urgent issues that China Merchants Bank is facing at this stage. The problem. China Merchants Bank launched four operational measures including user operation, content operation, scene operation, and training empowerment, and continued to promote the establishment of a data application ecology in the head office and branches, and comprehensively improve the level of autonomous use of users in the head office and branches. At present, the data cloud platform has carried 20,000+ dashboards, 11,000+ charts, and 80,000+ worksheets, and nearly 70% of these achievements are independently constructed by business departments.
By providing users with an efficient and convenient data usage experience, data cloud services have gradually grown into the main battlefield of branch data work. The penetration rate of branch users has reached 53%, which has comprehensively improved the ability of branch users to use data independently, and helped the digital transformation of each branch to take a step forward. To a new level. In 2021, the bank's computer room maintenance orders decreased by 45% year-on-year, which freed branch IT staff from tedious and repetitive work and focused on the value of data; R&D report development investment resources decreased by more than 15%; and the average cycle of data analysis also changed from 5 working hours The day is reduced to 1 working day, greatly improving the efficiency of data analysis.
Teacher Wu Ping believes that only by continuously lowering the threshold for using data analysis, reducing the technical difficulty of front-line business personnel in using data, and increasing the enthusiasm of data analysts to use techniques independently, can front-line data personnel produce data results more conveniently and efficiently , improve production capacity, truly achieve data-driven business, and reflect the true value of data.
Guanyuan Data is committed to providing one-stop banking BI services for financial banks, empowering banking business, and can conduct data analysis through self-service BI, mobile BI, BI data large screen, BI report, etc. Adhering to the concept of "let the business use it", the product value is returned to the business department, and the business is empowered to use data and make decisions efficiently and agilely. Guanyuan Data has reached cooperation with leading financial institutions such as China Merchants Bank, China CITIC Bank, Bank of Ningbo, Zhongyuan Consumer Finance, etc., using data intelligence to transform and upgrade the financial industry and reshape the core competitive advantages of banks.