Since the "14th Five-Year Plan", many policies in our country have begun to promote the in-depth development of the Xinchuang industry, realizing independent research and development and independent control of key digital technologies. The competitiveness of my country's Xinchuang industry continues to break through, and the localization process is steadily advancing. Starting in 2022, the policy will focus on mentioning "digital economy", "digital government" and national informatization. In this context, BI products, as an important part of the digital economy, have also ushered in major opportunities.
At present, domestic BI products are not inferior to foreign products in terms of product capabilities, and are more suitable for domestic enterprises in terms of functions. Take Tableau as an example. This is a very popular BI product abroad. It has data analysis and visualization capabilities, and supports multi-source data and processing and cleaning. However, it cannot independently complete complex business processing, lacks functions such as data filling, and cannot adapt to domestic complex reports.
However, foreign companies have a more mature concept and model of data application, which is characterized by deploying and using BI tools based on actual business scenario requirements, so that data can effectively improve and drive business. However, most domestic enterprises focus on the application of new technologies, deploying the system first, and then considering the business. Because of this, foreign BI took the lead in entering the era of business user business analysis.
Therefore, when purchasing alternative BI products, enterprises should not only compare product capabilities, but also pay attention to two issues: scene adaptability and business integration.
The adaptability of the scene comes from better understanding of customers
There are huge differences in data applications between domestic and foreign enterprises, including usage scenarios, operating habits, and functional requirements. Because domestic BI vendors have local service advantages, they can summarize scenario requirements, develop standard product functions, and support customized development.
Agile BI has developed many functions that adapt to the real scenarios of local users: extensive data source interfaces, visual data reports, self-service exploration and analysis, etc. After being deeply integrated with AI, local users can face complex reports and enterprise-level management. In difficult times, data reports can be easily and quickly produced and analyzed to achieve various predictive analysis.
Strong technical capabilities are the key to supporting scene adaptability. Faced with the increasing data volume of enterprises and the demand for refined data on the business side, Agile BI has independently developed the VooltDB high-performance computing engine, which has columnar storage, distributed computing and other technologies, and can achieve billion-level data in seconds. Level response, and has been applied and practiced by many large global group companies. This is also one of the reasons why various large leading companies use Agile BI as a group-level data analysis platform.
Business integration needs to be used by all employees
In recent years, the development trend of the BI market has clearly shown the characteristics of moving from IT to business, from reporting tools to analysis and decision-making, and has gradually entered the era of business analysis for business users.
The key to integrating BI tools with business and effectively driving business growth is to make business personnel the core of data analysis.
Agile BI is positioned as a "business-oriented data analysis tool", focusing on business users/analysts. During the data analysis process, when business users/analysts have needs and questions, IT engineers only need to be responsible for sorting out the basic data Well, other data preparation and report development can be completed by business personnel through dragging and dropping. At the same time, exploratory analysis of "the cause" can also be carried out, so that business personnel can really improve business results through data.
Business personnel understand the business better, but what they lack is the ability to analyze data. Therefore, Agile BI has greatly lowered the threshold of use in product design. For data reports, it can be realized by dragging and dropping data indicators. For in-depth analysis, the AI-enhanced analysis module is deeply integrated with the concept of "civilianization", so that business personnel can deeply mine the value of data and empower business growth.
Agile BI can visualize the entire process of modeling, lowering the threshold for AI applications, allowing AI applications to enter the business, and making it easier for business personnel to get started. Among them, 5 types and more than 20 plug-in operators are built in, which can meet common analysis scenarios, and deeply integrate AI in-depth analysis and BI data visualization to realize linkage analysis.
It is precisely because of its strong product capabilities, adaptability to scenarios, and business integration that Agile BI has gradually become the first choice for localization. Take a large state-owned bank as an example:
The bank has been using a traditional foreign BI tool. In 2020, it will start to replace it with localization. It wants to upgrade the new generation of agile BI to better support business development. The specific requirements include:
- Build a bank-wide unified data analysis platform to replace the self-developed report platform and foreign traditional BI platforms.
- Build an efficient interactive query engine to realize agile analysis of hundreds of billions of data volumes. The original system uses the Hive engine to query, and the speed is very slow. Sometimes it takes several minutes to query a report with 100 pieces of data.
- Meet the needs of online data mining and business exploration of business analysts across the bank, and serve tens of thousands of business users in groups and branch companies.
- A rich and refined data chart style is required. There are only more than 10 types of original report chart styles, which is difficult to meet the needs of rich and exquisite data chart styles.
- It is necessary to standardize and secure the authority control mechanism. Support multi-level, role-based, user-based, high-security, and easy-to-operate authority management and control guarantee requirements for groups, regions, projects, different centers, and subsidiaries.
Built a complete agile BI technical framework for the bank:
Platform construction and scene application
- Build a bank-level unified data analysis platform covering multiple core business areas.
Data Layer Construction
- Build Huawei Cloud FusionInsight intelligent data lake, docking with Hetu and GaussDB200, greatly accelerating the speed of data query and calculation;
- Resource isolation adopts the method of sub-databases to ensure that the permissions of various departments are not interoperable, and access to independent BI systems.
BI system deployment
- In order to support the implementation of large-scale analysis scenarios, 200+ sets of docker containers + BI systems have been deployed. When users access the system, each docker container is distributed to ensure load balance.
In terms of scenarios, it covers the main business of the bank to achieve data-driven business growth:
1. Retail business fund transaction monitoring
By developing a retail business fund transaction monitoring model, establishing a capital outflow management and control cockpit, graphically displaying the inflow and outflow of funds in each branch, and supporting multi-dimensional step-by-step drilling, the overall perspective of personal deposit fund inflows and outflows is realized, and the flow and use of funds are accurately detected. , quickly locate and control suspicious merchants, support business targeted marketing to customers, risk control, etc., and improve the bank's capital operation and management capabilities. Since it was put into production, more than 15,000 merchants with capital outflow risks have been detected, involving an amount of 64.6 billion.
2. Branch personal banking business
Through BI interface customization, obtain corresponding business data, and build an outlet competitiveness index system, which not only meets the data requirements of direct access to provinces, cities, sub-branches, and outlets, but also realizes flexible and convenient self-definition and display of outlet competitiveness index data, which is convenient Control the operating conditions of outlets at all levels. It greatly reduces the workload of manually making reports through various data checking platforms, enhances the support for grassroots marketing and management, and improves the efficiency of data innovation.
3. Create financial core marketing data products
Realize the efficient, transparent and convenient realization of the huge traffic of Wangjin, and through good customer experience and feed back the traffic ecology, realize the value-added and preservation of traffic, and improve the health of financial services.
4. Manage the operation analysis of the whole bank
Based on the real-time BI platform, the operation monitoring and analysis of 29 key asset custody business links of the whole bank have been completed, and the business operation value and digital intelligence innovation capability data have been displayed with pictures and texts, providing a strong basis for subsequent asset custody business management planning .
5. Inclusive finance
With the help of the real-time BI platform, build a panoramic view of inclusive financial business development with multiple data dimensions and display forms, support the display of inclusive business operations in different dimensions such as regions and industries, and support drill-down and display of secondary banks by region The Bank ’s inclusive financial business management ability and scientific decision-making level were further improved.
After construction, the BI platform of the bank has been extended to 30 business departments , including corporate financial business department, financial market department, risk management department, human resources department, management information department and other departments. More than 5,000 BI reports have been formed, and the average daily report visits are more than 1,000 times. For branches, 15+ application scenarios have been completed in the fields of marketing, operation, risk control, and Pratt & Whitney.
All in all, the trend of localization is irreversible. When enterprises choose domestic BI products, they need to pay attention to the adaptability of the scene and the integration of the business while examining the product capabilities, so that the data is rooted in the business and serves the business. Get up, release the value of data, and drive the sustainable and healthy development of enterprises.