At present, the concept of data middle office is hot, but the industry has different opinions on what is the data middle office and how to carry out the construction of middle office. How to clear the fog behind the construction of the middle office and open the road of digital strategy that is of far-reaching significance to enterprises? As an expert in the field of big data, Boming Xinde analyzes from the aspects of concept definition, value empowerment, strategic theory, and landing practice, aiming to help practitioners in the field of big data and digitalization to sort out a new path for the construction of middle office that focuses on the present and empowers the future.
What is the data center
The concept of the middle office is a matter of opinion, and there is never a unified view. The concept of middle office was originally proposed, which was mainly distinguished from the concept of front and back office. Especially for some large enterprises, there will be a lot of so-called back-office systems and front-office systems. The back-office system refers to the financial system, the settlement system, and the approval system. The front office system, as the name suggests, refers to the system that deals with customers. As businesses grow and become more complex, data becomes more complex accordingly. At this time, if the front-end system and the back-office system are directly connected to the data, it will be very time-consuming and labor-intensive. As a result, the concept of data centering came into being. As the middle layer connecting multiple "front desks" and multiple "back offices", the middle office extracts many common functions related to data and reduces the repeated construction of the back office.
We believe that the core positioning of the data center is data governance and application, including data aggregation, fusion, data assetization, etc., which will be completed on the middle platform. On this basis, combined with the relevant subdivisions, the knowledge is precipitated, and then the ability to be used for development and mining is provided.
The value of a data middle office to your business
In the data age, the maximization of data value needs to be better exerted under the premise of integration. The data center first collects and integrates the data scattered in various places for governance through unified standards, and then the governance results are data-assetized, and the assetization requirements are classified, priceable, manageable, and auditable, and then the assets are value-added and the value of the data is fully utilized. When the data inventory, regularization and unification are completed, we can use data and technology as a means to reshape all aspects of the work, so that "data business and business data" can help enterprises build a strategic system of data assetization and application value-added, and improve the operational efficiency of enterprises.
In summary, the value of the data middle office is a reconstruction of the enterprise's assets, or a redefinition of the enterprise's assets. With new assets, companies can produce greater benefits.
What issues need to be considered before building a data center
The construction of the data center should follow the requirements of all stages of the enterprise digitalization process. The digital development of enterprises can be divided into several stages of data collection, integration, openness and intelligent processing.
In the first phase, for enterprises that already cover more information systems themselves, consideration needs to be given to bringing the relevant data together. For enterprises with a relatively low degree of informatization, it is necessary to realize the online business of the enterprise.
The second phase requires companies to assess whether their own data has been organically integrated. The so-called "convergence" refers to the effective assetization of the data generated by various systems through a standard. That is to say, at this stage, enterprises need to complete data governance and aggregation work.
The third stage involves the opening of data, that is, enterprises need to have special departments to open the collected data to various internal departments, so that each department can understand the data assets of the enterprise, so as to better realize the improvement and innovation of data-based services of the enterprise. Qualified enterprises will then open the data to enterprises in the upstream and downstream of the ecological chain to achieve service innovation and the reconstruction of collaboration methods, so as to form a wider range of collaboration.
The fourth stage refers to the use of data for intelligent processing. As we all know, enterprises through machine learning and other artificial intelligence data processing, can create a very broad value-added space, just like the search for mineral resources, through the way of data intelligence, enterprises can tap a new data value from an unprecedented perspective.
The construction of the middle office of large enterprises mainly needs to consider the problem of system running-in, that is, enterprises should carry out overall transformation from the aspects of the entire organizational structure, business model and strategic synergy. Developing enterprises need to first consider the "instrumentalization" problem, that is, enterprises can use data platforms and tools to first realize the online operation of the business, and then consider the improvement of data-based services.
The landing practice of Boming Shun Tak Data Center
Based on big data, cloud computing and artificial intelligence technology, Boming Xinde builds a global, real-time and intelligent data middle platform. Provide one-stop platform services for enterprise data collection, management, processing and application, with intelligent and AI embedding capabilities, help enterprises mine and discover data value, and build intelligent applications.
The advanced nature of The Boming Shun Tak Data Middle Office architecture is reflected in the following aspects:
Unified: The full and centralized storage of enterprise data is the god view of enterprise data management.
Agile: Data is stored and managed in the form of raw data, simplifying data preprocessing and bringing data closer to the business.
Intelligence: Provides multi-level data access patterns for advanced analytics, exploratory machine learning, and artificial intelligence.
Real-time: Supports data to enter the data lake in the form of streaming, providing computing and processing power for massive data, and meeting the needs of various scenarios of real-time computing, interactive computing and offline computing.
Cloud Native: The foundational platform for cloud-native architecture, a data-driven complement to microservices architectures, and the foundation of new serverless architectures.
Hybrid cloud: Supports multi-cloud hybridization, which can centralize storage and unified management of data resources distributed in different cloud environments.
With the digital wave sweeping the world, disruptive innovation accelerating, and unprecedented challenges and opportunities, businesses must continue to accelerate digital transformation to survive and stay ahead. As a leading supplier of big data products and solutions in China, Beijing Boming Xinde Technology Co., Ltd. helps enterprises aggregate internal and external data, support efficient data services, and improve the decision-making level and business performance of enterprises. At present, Boming Xinde products are widely used in 128 central enterprises under the jurisdiction of the State-owned Assets Supervision and Administration Commission and the Ministry of Finance, and the application effect is remarkable. In the future, Boming Xinde will, as always, adhere to the national strategy of scientific and technological innovation, continue to enhance its independent innovation capabilities, and build a new era of data and information.