Enterprises can use
digital transformation to pursue value enhancement and realize digital transformation, network innovation and intelligent upgrade of the entire production value chain. The third is to promote the transformation and upgrading of industrial clusters. Accelerate the promotion of digital transformation of enterprise equipment and production lines, promote the clouding of core equipment and business systems, and foster
digital transformation solutions.
The outbreak of the new coronavirus (COVID-19) pneumonia around the Spring Festival in 2020 has a significant impact on China's economic operation, and it has had a certain impact on the ongoing digital transformation, but it has also released new opportunities for the demand after the transformation, and many areas have become new technologies The "test field" of the new model, the "training field" of the new model, and the "cultivation field" of the new format have accelerated the pace of digital transformation to a certain extent.
Digital transformation is the only way for the industrial economy to move towards the digital economy. It takes data as the core driving factor and promotes profound changes in national governance, government services, economic development, and social operation through the application of new generation information technology, forming an important historical process of the digital economy .
On March 13th, Yao Lei, Institute of Informatization and Software Industry, China Electronic Information Industry Development Institute made an online sharing on the live broadcast platform under the theme of "
The New Coronavirus (COVID-19) Pneumonia Epidemic Situation Forces the Speed of Digital Transformation", mainly from basic concepts and connotations Features, development trends, and new trends in development under the influence of the epidemic will provide a comprehensive analysis and interpretation of digital transformation.
Traceability: Background and connotation of digital transformation
New-generation information technology innovations such as artificial intelligence, big data, Internet of Things, and cloud computing have opened the era of the digital economy. The development and utilization of data has become the main theme of the era of the digital economy. The typical feature of the digital economy era is the intersection, integration and penetration of the new generation of information technology and various fields of economic society. Yao Lei said that this phenomenon can be viewed from three perspectives.
One is the technical perspective. All digitizable element resources can be connected to the digital space for further mining and analysis. Data is an important foundation for driving and driving the production factors. The institutions, processes, and experiences in the physical world can be algorithmized, logical, Coding is written into the digital space to reconstruct the operating rules. The platforms of consumer Internet and industrial Internet support the operation of production and life. Smart factories, smart cities, and smart agriculture are developed and operated in an intelligent manner. The second is the economic perspective. This includes platform economy, service economy, sharing economy and gig economy. Among them, during the epidemic, most people work at home and are in a relatively dispersed state of work. In the future, digitalization will be highly developed. People ’s work methods are likely to be the same as they are now, similar to the “working odd” method, resulting in a gig economy. The third is the industry perspective. The Internet enables timely information transmission and promotes the full flow of all elements of the industry. With the promotion of platforms and 3D printing technology, it can participate in entrepreneurial innovation in all spaces and times; personalized customization, intelligent manufacturing and other production methods will emerge in large numbers; The organizational management model will develop towards a trend of decentralization, flattening, and enterprise borderlessness.
At present, countries around the world are accelerating the process of digital transformation, such as the U.S. National Cyber Strategy, the U.K. Digital Strategy, the French National Digital Security Strategy, the German Digital Strategy 2025, the Russian Federation Digital Economic Plan, and the Australian National Digital Economic Strategy .
The Party Central Committee and the State Council also attach great importance to digital transformation. The "digital economy" has been clearly written in the government work reports of 2017 and 2019. 16 provincial administrative regions, 79 deputy provincial and prefecture-level cities have formed governments Big data management organization, China's digital transformation promotion system is accelerating.
Practice: Mechanism and model of industrial digital transformation
In fact,
the digital transformation of enterprises has a clear development route. Take John Deere, an agricultural machinery equipment company in the United States, as an example. They install sensors and communication modules in their products to form intelligent interconnected products, and then establish agricultural machinery systems and agricultural management systems. Provide a complete set of agricultural solutions to help farmers choose weather, time, tools to cultivate.
But Yao Lei said that coping with uncertainty in the process of industrial digital transformation is its internal motivation. One is to deal with the complexity of the production process. Continued industrialization has made manufacturing more and more complex, and has put forward higher requirements for all aspects of the manufacturing process. Digital transformation is conducive to building intelligent and environmentally friendly production methods, improving the requirements of all dimensions of manufacturing, coping with rising costs, and accelerating the transition to an innovation-driven development mode. The second is to respond to the diversification of market demand. The enhancement of consumer demand and the uncertainty of market demand require the production model to shift to consumption-centered and large-scale personalized customization. Digital transformation helps companies build fast and accurate production organization methods, fully meet market segmentation needs, and gain business opportunities from the "long tail effect." The third is to deal with the value-added products and services. Increasing product technology content makes products more and more complex, and the more urgent the demand for services in each link, and product intelligence also provides the possibility of innovative value-added services. Digital transformation facilitates the construction of R & D, production and service systems for the entire life cycle of products by processing the data in the process, and enhances the added value of products and services. Four is the need to deal with multidimensional industrial collaboration. The intensification of industrial division of labor has led to the lengthening of the industrial chain, the breaking of market boundaries, the increasingly complex competition and cooperation relations, and increased the difficulty of factor circulation and industrial collaboration. Digital transformation is conducive to building a good industrial ecology and enhancing the overall strength of industrial development.
But Yao Lei also said that digital transformation will also promote a fundamental change in the way the industry develops. First, resource allocation is more networked, globalized, and faster. Second, industrial innovation is more collaborative, open, and interactive. Third, the production method is more intelligent, customized and service-oriented. Fourth, organization management is more flat, flexible, and borderless. At the same time, enterprises can use digital transformation to pursue value enhancement and realize digital transformation, network innovation and intelligent upgrade of the entire production value chain.
Although digital transformation will reshape the industry's operating system, Yao Lei said that the industry's digital transformation still faces four practical dilemmas.
First, there are many institutional barriers. The innovation of new technologies, the cultivation of new products, the proliferation of new formats and the application of new models have formed an impact and challenge to traditional development concepts, policy systems, regulatory models, and interest patterns. Second, the path of transformation is not clear. Without a clear digital strategy and transformation implementation roadmap, most companies have no way to do so. Third, the technical foundation is still weak. Industrial technology reserves, business digital transformation capabilities, and data application capabilities are all lacking, technical solutions are still immature, and digital talent supply is insufficient. Fourth, data governance lacks means. Data application and governance are inadequate, and issues such as data development, data quality assurance, data ownership division, and data governance are prominent.
However, Yao Lei also said in the live broadcast that due to the epidemic, new opportunities for industrial digital transformation have emerged.In the process of epidemic prevention and control and resumption of production, the demand for transformation is quickly released, the willingness of enterprises to transform significantly, and rapid trial and error scenarios emerge It will accelerate the pace of industrial digital transformation.
Suggestion: How to develop industrial digital transformation?
The digital transformation of the entire industry is not a one-time process, and it needs all parties to work together. Yao Lei made suggestions on the digital transformation of industry from three levels: government, industry and enterprise.
First, from the government level, it is necessary to continuously optimize the development environment for digital transformation. First, strengthen the top-level design. Study and formulate a roadmap to promote the digital transformation of enterprises, clarify the goals, tasks and paths of digital transformation; encourage enterprises to formulate and implement digital transformation solutions that are in line with their actual conditions; and improve the digital leadership of entrepreneurs. Second, strengthen digital governance and data legislation. Based on different value considerations, formulate rules for the free flow of personal data and non-personal data; speed up the formulation of laws, regulations and standards for problems arising from the free flow of data, establish the status of data assets; standardize the data service market and strengthen user rights protection. Third, build a fair and open market environment. Deepen the reform of institutional mechanisms, promote inclusive supervision, coordinated supervision, and platform governance, and actively promote the implementation of the negative list system; strengthen standard setting, quality assurance, and knowledge industry protection. Finally, improve the digital transformation public service system. Carry out enterprise digital transformation capability assessment; guide industry alliances, industry associations and scientific research institutions to integrate resources, strengthen forward-looking problem research, provide policy consultation, expert think tanks, standard setting, talent training and other public services; build industry digital transformation public service platforms, Organize experience exchange and promotion meetings.
From the enterprise level, we must continue to explore new models of digital enterprise development. One is to enhance the digital transformation capability.
Accelerate the promotion of digital transformation of enterprise equipment and production lines, promote the clouding of core equipment and business systems, and foster digital transformation solutions. The second is to promote changes in organizational structure. Build a unified organization management system of "responsibility and rights"; build a platform organization, an ecological organization, and a network organization. The third is to adjust the enterprise management mechanism. Build a self-management mechanism, establish a co-governance mechanism for all employees, and establish an internal entrepreneurial mechanism. The fourth is to strengthen the cultivation of digital talents. Develop vision-based leadership and empowered leadership based on data-based decision-making, and develop employees' digital skills.
