Facing the new economic situation at home and abroad and the increasingly severe new challenges, economic development must shift from low-end to high-end, and persist in innovation-driven and new economic development. At present, the world is experiencing a profound technological change. The new technology that once seemed out of reach has become the norm. The technological progress is reflected in various fields of industrial, social and national development. The cutting-edge technology has penetrated into people's daily life at an increasingly fast speed and played a more important role in enterprise management.

more and more enterprises integrate cloud, big data, internet of things and artificial intelligence into their core processes and management systems to improve production efficiency and competitiveness. It can be predicted that we are about to usher in a fully connected and super-intelligent world, which will change people's work and life and bring economic prosperity and development.

Six strategies for digital transformation and upgrading of enterprises

With the continuous emergence of new technologies to support the development of digital economy, digital products, digital services, digital operations and digital ecology will promote the continuous innovation and transformation of various industries and achieve steady growth. Subversion and uncertainty have become the new normal, and "data ability" is the key to winning the digital transformation of enterprises.

1. establish a digital native enterprise (DNE)

a digital native enterprise (DNE) refers to an enterprise that grasps the characteristics of the digital economy and integrates it into its business operation and digital core. Specifically, the digital transformation of enterprises needs to meet the requirements of rapidly iterating products and services, using technology to empower employees, using technology and data as blood, creating information-based income, constantly improving customer loyalty, rapidly expanding the scale of users, and using the ecosystem to innovate, so as to establish a clear vision and goal of digital enterprise transformation.

consumer participation and large-scale development are the basis of future development, which is why many enterprises build platforms and make APIs to attract a large number of users, and make scale first. In addition, enterprises need to be able to clearly see the changes in the era of digital economy, and at the same time understand policies, master advanced technologies, expand products and services through digitalization, connect people, links, connect the inside and outside, get through the connection between people and information, and establish a set of enterprise-specific digital ecosystem.

2. Implementing a digital transformation roadmap with application scenarios as the core

Digital innovation is an extremely complicated process, and its complexity is reflected in the long-span life cycle and differentiated industry characteristics. The lack of digital innovation ability of enterprises with different industry characteristics is also very different. It is a practical problem for enterprises to identify the lack of ability and find the right empowerment direction when they start digital innovation.

therefore, in the process of digital transformation, enterprises should proceed from business and take scene application as the guide. The digital transformation roadmap should be modular, scalable and easy to expand, and the overall digital transformation project should be decomposed into detailed application scenarios. At the same time, how the development roadmap will evolve should be considered to make the application scenarios scalable.

3. Shaping the comprehensive ability required by digital transformation

The reshaping of digital comprehensive ability is by no means superficial. It not only refers to the digitalization of hardware or software, operation automation or process reengineering, but also the creation of new digital ability around customers, data and scale.

hierarchically speaking, enterprises need to implement corporate digital culture from top to bottom and transform into digitalization in stages; Establish an innovative business model based on enterprise data; Build a customer-centered agile digital supply chain system, promote the process of digitalization from the key point, and shape the comprehensive ability required by the digital transformation of enterprises.

4. Creating a data-centric digital platform

A digital platform needs to be intelligent, open, intelligent and secure. As a very important part, data can give insight into the inside and act on the outside data. With the intelligent core, how to integrate business systems into services and API platform services to support our innovation?

therefore, large and medium-sized enterprises must have a data-centric digital platform, which may be built by themselves, with partners, or even with public cloud as a part of the platform. Only by taking data as the center, integrating internal and external resources, applying new technologies, and finally forming an intelligent data core, can we expand the entire business ecology, make the company's business innovation have a very good foundation in the future, and realize data realization.

5. Establish an organizational structure that matches the digital transformation

At present, organizations and enterprises are focusing on cloud computing, Internet of Things and big data, and are fully transforming to digital. With the data flow from smartphone applications, website browsing, social media and various user transactions, enterprises are given the opportunity to take advantage of big data. But these data need to be stored and managed in a specific way to produce accurate predictive modeling and meaningful user insight. In the new era, enterprise data warehouse can be used to store data from different sources in a single repository, and it can also model the data to support decision-making, research and innovation. Therefore, it is particularly important to establish a digital transformation organizational structure.

enterprises must clearly understand the new reality, try to break the original structure and management behavior, and re-model and structure the digitalization of people, things and things. Companies need to hire suitable talents, especially data scientists, to create tangible value for enterprises through analysis.

For example, Alibaba and Tencent are crazy about hiring data scientists to promote data-driven innovation. Data experts promote the construction of digital culture throughout the company to ensure the flow and use of data between business departments. From focusing on functions in the past to focusing on people, things, things and other behaviors, we will establish an organizational structure that matches the maturity of enterprise digital transformation.

6. change the traditional BSC assessment model and develop new dnekpis

developing new dnekpis related to digital transformation includes overall digital transformation, leadership transformation, all-round experience transformation, information and data transformation, operation mode transformation and work resource transformation. Digital KPI can not only lead enterprises to operate more efficiently, but also be a brand-new rule to consider the performance of IT departments and business departments. Therefore, digital KPI must be ahead of business development, and cannot adopt lagging indicators. It can help enterprises achieve results-driven goal setting and performance control, and this method is universal in all walks of life.

in the digital economy, information and how to use it are the keys to success, and the ecosystem is as important as the core intellectual property rights. Enterprises must master the characteristics of digital economy and integrate them into business operation and corporate culture, deeply understand the connotation and development trend of future policies, technologies, ecology, industries and work, and accelerate to become digital original enterprises (DNE), which is the key to realize all-round transformation and win future opportunities in the digital economy era.

The future world opened by digital economy has just begun, and digital technology will reconfigure social resources: big data and artificial intelligence will redefine business models; Industry boundaries tend to be blurred and new integration continues to appear; Competition has evolved into the competition between industrial chains.