4.5 KiB
Cloud Adoption Dimensions
As governments and enterprises have different strategic priorities and development phases, the core motivations for them to go to the cloud may differ. These core motivations should be determined based on actual conditions. It is a good practice to focus on the following three dimensions:
IT transformation
Currently, IT systems are facing the following challenges:
- Low IT resource utilization, high costs, and complex maintenance and lifecycle management. Service units and departments use different data centers deployed with various types of servers and storage devices, and applications are bound to servers.
- Insufficient capabilities of disaster recovery, security, scalability, and maintainability affect service stability and ability to expand on demand.
- They are too slow to introduce new technologies, such as containers, cloud-native, and blockchain. Current IT systems are limited by insufficient capabilities and by their organization members' lack of experience. They urgently require new capabilities based on mature products and extensive experience on the cloud, so they can modernize and upgrade their IT systems, reduce costs and enhance efficiency, and build IT support capabilities for future industry competition.
- IT organization transformation. Currently, IT departments are often positioned in support positions, passively supporting business development. However, as the digital transformation of the governments and enterprises deepens, IT and digital capabilities have become parts of planning, R&D, production, sales, service and operation, directly affecting business results and competitiveness. IT departments urgently need to change their roles. They need to be integrated into the production chain. IT departments and awareness, a culture, focused on a service-oriented cloud platform and on transforming their digital capabilities.
Data intelligence and data security
Data has become a new production factor together with traditional factors such as land, labor, capital, and technology.
- In the government sector, data-driven government services and government governance collaboration across departments help with government administration, policy formulation, and decision-making. Data intelligence provides insights and responds quickly to social and economic trends, enhancing public satisfaction and government efficiency.
- In the financial sector, data intelligence assists in customer marketing, risk control, and product design. It supports the expansion of key services such as supply chain finance and digital currency.
- In the enterprise domain, data intelligence enables design and testing simulation, intelligent raw materials allocation, intelligent production scheduling, supply chain risk management, and operational visibility. It fully enhances efficiency and reduces risk.
Over time, data platforms have had to provide increasingly more robust capabilities. The huge volumes of diverse types of data, the levels of access concurrency, the constantly evolving data technologies and new application scenarios demand high performance, efficiency, and reliability. They demand platforms that can flexibly expand and rapidly evolve. The requirements make a cloud service model the obvious choice. Cloud service providers provide platforms with these technical capabilities. The industry has become focused on scenario-specific capabilities related to its own data.
Data security is increasingly related to security of both enterprises and governments. Cloud service models facilitate of advanced security technologies to centrally manage data security and provide maximum security assurance.
Service and business innovations
Digitalization drives service innovation. It has been driving advances in smart production, services, and operations, as well as innovations like the sharing economy and industry chain collaboration, and there is capability spillover. Technologies are needed for innovations:
- New technological capabilities such as AI, IoT and blockchain.
- Rapid rollout and iteration are required for first-mover opportunities. Cloud service models provide IaaS, PaaS, and SaaS capabilities that are always industry leading, lowering barriers to entry for service innovation, reducing costs, and accelerating innovation.