This article is shared from HUAWEI CLOUD Community " Discussion on the Methods and Methods of Enterprise Digital Transformation ", author: Uncle_Tom.
1. The digital economy and digital transformation
1.1. The digital economy will become the main battlefield of future competition
The digital economy is the strategic highland of the future world economic competition pattern. The National Fourteenth Five-Year Plan and the 2035 Vision Outline have been released, in which Digital China Construction has made relevant provisions on a series of major policies and policies for China's digital transformation and digital China construction in the future.
1.2. The epidemic has accelerated the development of the digital economy
1.3. Digitization makes business processes more efficient and agile
1.4. Core Values of Digital Transformation
1.5. Digital technologies are fully integrated into social interactions and daily life
In the national 14th Five-Year Plan, a series of important arrangements have been made for the construction of a digital society. For example, digital technology is fully integrated into social interaction and daily life, providing smart and convenient public services, promoting innovation in public services and social operation, building new smart cities, building a new picture of a better digital life for the people, and promoting a better digital life for all. It points out the direction for the future digital society construction.
The future trend is digital-driven lifestyle changes through digital transformation.
- Trend 1: The digitalization of society will further rise in the next five years. At present, the digital penetration rate in my country has just exceeded 70%, and there is still a certain gap with developed countries, and there is a large room for improvement;
- Trend 2: The digitalization level of people's livelihood-related medical care, education, social security, pension, and employment will be greatly improved;
- Trend 3: The combination of digital twin technology and the city will lead to rapid development of smart city construction;
- Trend 4: In the era of the data economy, digital consumers will have a greater impact on digital transformation.
2. The impact of new technologies on industry application scenarios
2.1. Gartner Digital Commerce Technology Maturity in 2021
According to Gartner's 2021 digital commerce technology maturity curve, digital commerce technologies such as virtual customer assistants, digital wallets, visual configuration, customer identity and access management have reached a stage of steady growth and are expected to reach production maturity within 2 years. Technologies such as digital experience platform, customer master data management, and product master data management will also reach the production maturity stage within 2-5 years.
2.2. Deep integration of ICT technology and economy and society
2.3. Application scenarios of 5G technology in various industries
2.4. Depth and breadth of application of big data technology in various industries
From the perspective of application functions and results, the value of big data technology application is mainly reflected in three aspects: cost reduction and efficiency increase, precision marketing, and decision support. The depth and breadth of its application presents different focuses in different industries.
2.5. Application scenarios of key fields in artificial intelligence technology
- From the perspective of the industry chain, the
artificial intelligence industry chain mainly has three core layers: the basic layer, the technical layer and the application layer. The development of computer capabilities and platforms is the basis for the realization of artificial intelligence technology and applications. The realization of technologies such as computer vision, speech recognition, natural language processing, machine learning, and big data services is the guarantee for the implementation of artificial intelligence applications. - From the application layer
, the artificial intelligence industry mainly includes three major application fields: smart city, smart production, and smart life. Large-scale applications have been formed in the three major industries of manufacturing, power grid, and transportation. The main applications include the following ten scenarios: None Human-driven cars, face recognition, machine translation, voiceprint recognition, intelligent customer service robots, intelligent outbound robots, smart speakers, personalized recommendation, medical image processing, image search, etc.
3. Enterprise digital transformation
Through digital transformation, we can achieve cross-level, cross-regional, cross-system, cross-department, and cross-business collaborative management, build componentized and loosely coupled middle-office capabilities, integrate digital technology with enterprise needs, and release the true value of digital transformation.
3.1. Enterprise digitalization stage
The digitalization stage of an enterprise can be divided into the following four stages:
- basic information
- Applied Digitization
- fully systematized
- Smart Ecology
- Basic characteristics and typical applications of digital transformation in each stage
3.2. Digital Implementation Strategy
In the process of implementing the digitalization stage, enterprises can base on the following implementation strategies:
3.2.1. Based on a single business scenario
Based on the method of digitizing a single business scenario as the starting point, it will be implemented step by step and repeated iteratively, ultimately driving the overall transformation of the enterprise. Through single-point breakthrough -> local diffusion -> replication and promotion -> comprehensive integration -> optimization and innovation path, promote the digital, networked and intelligent transformation of business scenarios such as R&D, products, equipment, production, management, and services, and gradually build and Improve the internal digital management platform of the enterprise.
3.2.2. Application scenarios based on new technologies
Based on the Industrial Internet, through artificial intelligence, 5G, Internet of Things, cloud computing, big data, digital twins, lean manufacturing and other digital technology innovative application means, build smart factories with the characteristics of "flexibility, intelligence and digitization".
3.2.3. Collaborative service scenario based on supply chain
Based on new formats of supply chain collaboration models such as resource docking and collaborative production, build an industry supply chain collaboration service platform to promote the effective convergence and extensive sharing of upstream and downstream decentralized resources in the industry.
3.3. Digital Transformation Scenario Landing Roadmap
- Enterprise digital transformation scenario
Enterprise digital transformation scenario refers to the use of various digital means centered on production and operation activities at a specific time, space/place, and people and objects, and the actions of business activities are completed according to the relevant relationship. The business process is the related process of the solution composition corresponding to the specific activity problem in the production and operation activities, and the fragmented process and various relationships composed of process objects are constructed.
Focusing on the value brought by the transformation of the scene, gradually gather the technology, platform, operation, and organizational management needs required in the transformation, and gradually complete the digital transformation through iterative methods.
- The digitization of scene elements
first collects and structures the basic information of the scene, that is, fills in the background and goals, and deeply summarizes the background, pain points and construction goals of the scene construction. Multi-dimensional related information such as time and space, organizational roles, scene activities and their related applications, equipment, and information. Clarify the corresponding requirements of the scene and the details of the scene activities through the scene description, and fully express the cooperative relationship around the scene activities and the corresponding digital applications, machines, data information, digital technology and other scene objects. Digital scenarios are constantly iterative. With the continuous emergence of new technologies and new devices, new technologies and original scenarios can form new combinations for many times, so as to continue to develop into digital scenarios with full perception, full connection, and full intelligence. Therefore, the scene elements It is the basis for iterative optimization, and a comprehensive list of scene elements needs to be completed. - Digitization of scene resources
The platform and scene nodes involved in the scene are supported by the relevant system platform through digital means to carry the relevant functions and related processes, and the construction of the digital intelligent system and the carrying of business capabilities. Automate and intelligently upgrade the standard business services and scene node business processes related to each scene node, so as to transform the traditional business actions completed by people in different business roles and related organizations into partial or full automation, The digital and intelligent system has been completed. And the standard actions designed in the relevant business processes are implemented in the corresponding application system construction process in the form of system function points. After the corresponding system construction is completed, corresponding standardized application services are formed. - Scenario equipment digitization
The equipment and infrastructure involved in the scene are connected and interconnected by means of data pride. Through the construction of digital twins of equipment, the digital transformation and upgrading of equipment and infrastructure and the digital isomorphism of the real world are carried out. Model construction.
3.3.1. Five-step design method for digital transformation scenario construction
- Step 1: The value
of the scenario According to the scenario value discovery method, through various investigations to discover the status quo and problems of the enterprise scenario, and analyze the business needs of the relevant scenario. And formulate corresponding transformation goals according to various needs. - Step 2: Technological innovation
of the scenario The business process involved in the scenario is designed to integrate new technologies into the business, and the corresponding scenario is technically transformed and business upgraded to form an innovative scenario. - Step 3: Scenario ecology
Through the scenario ecology, a multi-dimensional scenario centered on the scenario and the combination of supply and demand capabilities are connected to the supply side and the demand side, forming a unique ecological solution capability to provide scenario services. - Step 4: The long-term mechanism of the scene The
effect of the scene design and construction and its future operation mechanism are related to the design, and the long-term cultivation mechanism of the scene is established through the scene operation to solve the target effect evaluation after the scene-related capabilities are launched, and the iteration of the target scene, etc. related question. The long-term operation that forms the scene capability enables the scene node target to get better capability upgrades and product iterations. - Step 5: Scenario Organizational Construction
Carry out organizational reform and platform capability center construction design for a series of related parties involved in the scenario, such as roles, organizations, and platform equipment. Form an organizational culture guarantee after the completion of the scenario capability building, and better provide long-term services and build related scenario capabilities through the organizational capability.
3.4. Cases of enterprise digital transformation scenarios
3.4.1. Digital Transformation of Intelligent Manufacturing and Roadmap of Important Scenarios
The digital development route of the intelligent manufacturing industry is summarized as a general route of four stages: management digitalization, production digitalization, production intelligence, and industrial digitalization. The cultivation of digital culture and capabilities runs through the entire digital development process, and there are representative key scenarios at each stage.
3.4.2. Digital Transformation of Energy Industry and Roadmap of Important Scenarios
The digital development route of the energy industry is summarized into four stages: business digitization, data assetization, overseas empowerment, and digital ecology. The cultivation of digital culture and capabilities runs through the entire digital development process, with representative key scenarios at each stage.
4. Reference
- Huawei: Digital Transformation, From Strategy to Execution
- Huawei: Huawei Industry Digital Transformation Methodology White Paper 2019
- [Central Enterprise Digital Development Research Institute: 2021 State-owned Enterprise Digital Transformation Scenario Demonstration and Roadmap Research White Paper] http://siab.org.cn/2021/12/28/guoqishuzihuazhuanxing/
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