Everyone in China said data, you need to focus on core characteristic is what?

As a hot word, middle office has now been expanded to a wider field. Concepts such as business middle office, data middle office, organizational middle office, and technology middle office have been put forward one after another. The core is business middle office and data middle office.

Data middle platform is one of the core platforms of middle platform. The simplest data middle platform may be data warehouse, which is to extend the traditional data warehouse to a larger field of all enterprise-level data, and conduct data collection and data collection for these data.Modeling and data services are provided to the front-end to carry out data applications of different dimensions.

The reason why we are now advocating the construction and application of data middle-end platforms is that one is because data middle-end platforms do have some advantages, and the other is that this model has shown great application value in Ali, and other companies should alsoIts reference and use should also be able to reflect greater value.

Data middle platform solves the problems of "storage", "communication" and "use" of enterprise data, that is, it helps enterprises to connect data islands, make all business data, and make everythingData business.To sum up, the data middle-office strategy has the following three advantages and values.

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Data aggregation, linking the previous and the next

The basic idea of ​​the data middle platform strategy is to aggregate all data into the data middle platform, and each future data application (whether it is indicators and analysis, or portrait and big data) will be collected from the data.station to obtain data.According to this model, if the number of data applications in an enterprise is greater than 3-5, the data center will save 30% of the overall cost, and with the growth of data applications, the cost savings will be even greater.Compared with the traditional data warehouse, the data middle-end strategy emphasizes the "fullness" of data and the cooperative relationship between the data middle-end organization and the data application organization, which ensures the implementation of the model from the perspective of design, organization, construction and process.

Look at the big picture and drive the big picture

Data business should be a complete business in an enterprise, a business that needs to improve its positioning urgently, and a strategic business of the enterprise.Therefore, the data middle platform strategy should correspond to the data strategy of the enterprise and provide stronger support, rather than just finding, cleaning and calculating the data. Therefore, to build a data middle platform, it is necessary to understand the enterpriseData situation, data needs, and the driving blueprint for building a data business.The above content should be completely constructed and promoted through seven interconnected data services, namely data resource planning and acquisition, data governance, data modeling and data asset management based on middle office strategy, business modeling based on middle office strategy, entityProfile and labeling engine, data indicator system sorting and calculation (BI), data application planning and implementation.

Technology upgrade, convenient application

Compared with traditional data warehouses, they cannot compete with big data platforms in terms of massive data processing capabilities, node expansion capabilities, real-time computing capabilities, software purchase and maintenance costs, and many other aspects.In the first year, by integrating third-party software and tools, it formed its own mature data middle-office solution, and implemented targeted solutions for different customers.

With the data center, data is no longer scattered, messy, and repetitive in the information system. The system can classify, organize, and process data in real time, making it clear, orderly, organized, and organized.Useful information on context.These data can be further shared with the business application system to carry out data application and realize data realization. The results will be displayed in a diversified and visualized form through the front-end display system, forming a closed-loop application chain of analysis-decision-action.Data will be truly integrated with business scenarios, and lightweight applications will directly help enterprises solve business problems.

Under the normalization of epidemic prevention and control, while facing severe external challenges, enterprises also face severe operational challenges in the process of operation management and financial management—passive operation, brainstorming decision-making, etc. In order to cope with these challenges,In the first year, the management experience of many years and the latest technology were integrated, and the comprehensive data management and decision-making strategy of the enterprise was put forward, and the comprehensive data management concept was established for the enterprise to realize the data and intelligent decision-making of the enterprise.Based on the overall solution architecture of the first year of China and Taiwan to support more flexible business development of enterprises, starting from the enterprise data strategy and application scenarios, starting from the construction of the data base for the integration of industry and finance, and driven by value, plan the roadmap for the landing of the data center., to promote the comprehensive data operation and decision-making of enterprises.