The base is a core concept in today's enterprise service industry. In the digital and intelligent transformation of enterprises, service providers emphasize base upgrades, and enterprise customers also attach importance to the use of bases.
At this stage, the promotion of digital intelligence in enterprises requires the support of a digital intelligence base platform while unifying digital intelligence planning and top-level design, data governance, and key application system construction.
Among them, the promotion of digital intelligence of some leading enterprises has entered from the 1.0 stage of partial application scenario innovation, relatively scattered data, and only some platform capabilities, to integrated application innovation, emphasis on and systematic promotion of data around the theme of production, operation and management Governance and comprehensive upgrade of the 2.0 stage of the digital intelligence base.
The first base has the value of industry synergy, which can drive the prosperity and development of the software ecosystem both upwards and downwards. To put it simply, the PaaS layer is built, which can drive the use of IaaS resources on the lower side, and support the development of SaaS applications on the upper side, and the entire software ecosystem will be basically revitalized. The second is that it has market application value and can quickly meet the digital and intelligent transformation needs of enterprise customers based on the capabilities of the base.
For digital intelligence service providers, based on the PaaS model, they refine and package their own technology, experience, and products into reusable, expandable, and operable platform software, and then do secondary application development to meet the needs of medium and large enterprise customers. It can balance high value and high efficiency.
In this process, the digital wisdom base has played a huge value.
The reason is that, except for a few giant enterprises, the vast majority of enterprises do not have the ability to build their own comprehensive platform, and they do not need to build this ability by themselves. They should choose and introduce a professional platform that fits the business of the enterprise, has advanced technology, a complete system, and strong comprehensive capabilities. , upgrade the digital intelligence base, strengthen and accelerate the advancement of digital intelligence.
In today's enterprise service market, self-developed and strong digital intelligence base should be the first priority. Whether it is to attract ecological partners or serve corporate customers, a strong self-developed foundation will make the ecology attractive.
From BIP1 to BIP2, and then to BIP3, Yonyou BIP has maintained continuous self-development and innovation for seven years, and has continuously integrated cloud-native, micro-service, mid-platform, data-driven, low-code and other technical capabilities to ensure the leading digital intelligence platform sex.
As the digital intelligence base of Yonyou BIP, the Yonyou iuap platform is enterprise business-oriented and has achieved a number of leading innovations in application architecture, including a feature system that supports business changes and precise operations, and a socialized business that supports industry chain and value network business collaboration. Organization and data model, event accounting middle platform for reconstructing fine-grained management of enterprises, multi-dimensional organization model that supports organizational flexibility and smart development, PDCA cycle that supports real-time management and control and lean operation of enterprises, scenario-based application assembly of business-oriented on-demand applications, etc. Enable enterprises to change on demand, expand flexibly, and grow resiliently.
In recent years, with the maturity of digital intelligence technology and the growth of market demand, major manufacturers are moving towards the PaaS layer. It seems easy to build a platform, but it is difficult to evaluate the feedback of the actual use.
But what is clear is that the barriers between industries are significant, and breaking them will not be easy. Regardless of technical differences, as far as market applications are concerned, enterprises need to use more than just a software platform or product for digital intelligence transformation, and both enterprises and service providers will base on the platform software and application software based on enterprise needs and industry pain points. Digital and intelligent reform of enterprise business system, technology system and other aspects.
In this process, service providers must have technology, products, and industry know-how to understand customer needs and industry scenarios in order to better provide them with digital and intelligent transformation services. Industry Know-how is very important, and the existence of this "moat" as a service provider cannot be achieved overnight. It requires service providers to have long-term practice accumulation and a large number of enterprise project cooperation.
To a certain extent, industry know-how may be more important than digital intelligence base, the former is the key guarantee for the latter to exert its industrial value. After clarifying this point, for digital intelligence service providers and enterprise customers, there will be a clearer direction and choice for future development.