Digital and intelligent transformation is a key topic for global enterprises, and the problems and challenges faced in the transformation process do need to be solved by integrating various factors.
First of all, for the foundation of digital and intelligent transformation, that is, the IUAP platform, it can support the various technical and business needs of enterprises in global operations. By building a robust data infrastructure, the IUAP platform can help enterprises integrate and optimize business processes, improve operational efficiency and customer satisfaction.
In terms of organizational structure, the shift from a positive triangle to an inverted triangle requires enterprises to make comprehensive adjustments in terms of management concepts, responsibility allocation, and decision-making mechanisms. This transformation requires breaking down traditional organizational boundaries, strengthening cross-departmental and cross-functional cooperation and coordination, and establishing a more flexible and agile team and project management model.
For business scenarios, global enterprises need to understand the Xi and needs of users in different countries and regions, and adjust the design and functions of front-end applications according to these needs. By adopting a localization strategy, companies can better adapt to the local market environment and improve the competitiveness and market share of their products.
In addition, in order to better support digital and intelligent transformation, enterprises also need to establish a sound talent training and management mechanism. By strengthening employee training, skill upgrading, and talent incentives, we can cultivate a team with a global vision and professional skills, and provide a strong talent guarantee for the digital and intelligent transformation of enterprises.
There are many problems in the challenges or strategies in the digital and intelligent transformation of enterprises, and the common enterprise IT architecture includes chimney architecture and boulder architecture.
Siloed architecture: The problem with this architecture is the lack of collaboration between data and processes between different systems, resulting in data silos and information silos. This not only limits data sharing and collaboration, but also leads to problems such as duplicate construction and increased costs. To solve the problem of chimney architecture, you can consider the following strategies:
Develop a unified plan: At the beginning of digital and intelligent transformation, enterprises need to formulate a comprehensive plan, including clear construction goals, technical routes, and implementation steps. With unified planning, incompatibilities and duplication between different systems can be avoided.
Establish a data middle platform: Through the establishment of a data middle platform, the data of various systems can be integrated, cleaned and processed to form a unified data view and data services. This breaks down data silos and improves data utilization efficiency and data quality.
Promote standardized processes and norms: Developing and promoting standardized processes and norms can ensure consistency and operability of data and processes across different systems. This helps to improve collaboration efficiency and reduce communication costs.
Boulder architecture: Boulder architecture refers to the monolithic architecture that continues to increase functions, become more and more complicated, and make it more and more complicated, making the system difficult to maintain and expand. The problem with this architecture is the complexity and maintainability of the system. To solve the problem of megalithic architecture, you can consider the following strategies:
Split monolithic architecture: Split the monolithic architecture into multiple microservices or modules, each responsible for specific functions and business logic. This reduces the complexity of the system and improves maintainability and scalability.
Adopt a distributed architecture: Adopting a distributed architecture can further improve the scalability and reliability of the system. By deploying different microservices or modules in different servers or containers, you can achieve load balancing, fault tolerance handling, and other functions.
Introduce automated O&M tools: Introducing automated O&M tools can reduce O&M costs and manpower input. Automated tools can complete the deployment, monitoring, troubleshooting, etc., and improve the reliability and stability of the system.
For the transformation needs of global companies, in addition to solving the above architectural problems, the following aspects need to be considered:
Establish a global technical team: Establishing a global technical team can better support the global operation of the enterprise. By setting up R&D centers or technical teams in different regions, we can better meet the needs of the local market and improve the response speed and service quality.
Output platform capabilities: In order to support the transformation of global companies, enterprises need to have output platform capabilities. This includes providing capabilities such as development processes, specifications, and DevOps to help partners or customers better leverage the platform for business innovation and development.
With the help of external ecological forces: With the help of external ecological forces, the digital and intelligent transformation process of enterprises can be accelerated. Working with consulting firms, technology partners, and more can help companies better understand the market, provide solutions, and provide technical support. At the same time, participating in industry associations and open source communities can also help enterprises understand industry trends, promote brands and accumulate resources.
Digital and intelligent transformation requires enterprises to carry out comprehensive and in-depth changes in many aspects. By establishing a strong data infrastructure, adjusting the organizational structure and management model, strengthening cross-departmental cooperation and coordination, implementing localization strategies, and establishing a sound talent training and management mechanism, enterprises can better respond to various challenges and problems in global operations and achieve the goal of digital and intelligent transformation.