企业的数字化转型包括信息化、数字化、数智化三个阶段，并非一个阶段结束才能进入到下一个阶段。
一、信息化→业务数据化
信息化是将企业在生产经营过程中产生的业务信息进行记录、储存和管理，通过电子终端呈现，便于信息的传播与沟通。
信息化是对物理世界的信息描述，是业务数据化，本质上是一种管理手段，侧重于业务信息的搭建与管理。业务流程是核心，信息系统是工具，在这一过程中产生的数据只是一种副产品。信息化还是物理世界的思维模式。
它可以使企业内各方面的人员清楚的了解到“业务状态是怎样的”，“流程走到了哪一步”等，从而有利于生产要素组合优化的决策，合理配置企业资源，增强企业的应变能力。
二、数字化→数据业务化
信息化建设过程中各个信息系统之间缺乏互通，形成了信息孤岛。数字化打通各个信息孤岛，让数据得以连接。通过基于大量沉淀在业务系统中的运营数据，对这些数据进行综合地、多维地分析，对企业的运作逻辑进行数字建模、优化，指导并服务于企业的日常运营。
以“一切数据业务化”为核心原则，围绕着公司业务，可以从数据治理、数据分析、数据实验、数据产品、数据教育这五个方面来推进，帮助企业真正实现降本提效、业务增收。
这个过程，是技术实现的过程，更是思维模式转变的过程。
数字化过程需要专业IT人员与领域专家、数据分析专家等进行深度融合，才能建立合适的数字化系统。
三、数智化→“数据+业务”智能化
数智化是数字化和智能化的合称，主要是指：
（1）在数字与智能技术（大数据、AI、云计算、区块链、物联网、5G等）手段的支持下，建立决策机制的自优化模型，实现状态感知、实时分析、科学决策、智能化分析与管理、精准执行的能力。
（2）借助数字化模拟人类智能，让智能数字化，进而应用于系统决策与运筹等能力。
通过以上两种能力，帮助企业优化现有业务价值链和管理价值链，增收节支、提效避险，实现从业务运营到产品/服务的创新，提升用户体验，构建企业新的竞争优势，进而实现企业的转型升级。
▲数据是战略资源
企业需要充分理解业务生态（全流程、全界面）、市场需求（客户、消费者、社会诉求）、价值创造（多重利益相关方共享价值）三个维度的内涵，找出商务逻辑，并使此逻辑的实现落在创造经济价值的同时创造社会和环境价值的支点上。
▲数字化、智能化的转型路径
简而言之，信息化是企业转型的初级阶段，立足于以IT化手段提升内部管理效率；数字化则是企业转型的进化阶段，它在大数据与云计算技术的加持下对企业运营的全面优化；数智化则是企业转型的高级阶段，是在人工智能技术加持下对数据作为生产要素的智能化应用。
数智化的本质是业务创新，是运营管理的智能化创新，是对传统业务模式的革命性颠覆，是对未来业务生态的重新定义。
翻译：
There are three stages of digital transformation: informationization – digitalization – digital intelligence
The digital transformation of enterprises includes three stages of informatization, digitalization and digital intelligence, and it is not necessary to enter the next stage at the end of one stage.
First, information → business data
Informatization is the recording, storage and management of business information generated in the production and operation process of enterprises, and is presented through electronic terminals to facilitate the dissemination and communication of information.
Informationization is the information description of the physical world and the data of business. In essence, it is a management method, focusing on the construction and management of business information. The business process is the core, the information system is the tool, and the data generated in this process is only a by-product. Informatization or the thinking mode of the physical world.
It can make the personnel in all aspects of the enterprise clearly understand “what is the state of the business”, “which step of the process”, etc., so as to facilitate the decision of the optimization of the combination of production factors, reasonable allocation of enterprise resources, and enhance the resilience of the enterprise.
Second, digitalization → Data business
In the process of information construction, there is a lack of communication among various information systems, which forms an information island. Digitization opens up information silos and connects data. Based on a large number of operational data deposited in the business system, the data is comprehensively and multidimensional analysis, and the operation logic of the enterprise is digitally modeled and optimized to guide and serve the daily operation of the enterprise.
With “all data business” as the core principle, around the company’s business, it can be promoted from the five aspects of data governance, data analysis, data experiments, data products, and data education, to help enterprises truly achieve cost reduction and efficiency, and increase business income.
This process is the process of technology realization, but also the process of thinking mode transformation.
The digitization process requires the deep integration of professional IT personnel with domain experts, data analysis experts, etc., in order to build a suitable digital system.
Third, the number of intelligent → “data + business” intelligent
Digital intelligence is a combination of digitalization and intelligence, mainly refers to:
(1) With the support of digital and intelligent technologies (big data, AI, cloud computing, blockchain, Internet of Things, 5G, etc.), establish a self-optimizing model of decision-making mechanism to achieve state perception, real-time analysis, scientific decision-making, intelligent analysis and management, and accurate execution capabilities.
(2) With the help of digital simulation of human intelligence, so that intelligence digital, and then applied to system decision-making and operations and other capabilities.
Through the above two capabilities, we can help enterprises optimize the existing business value chain and management value chain, increase revenue and reduce expenses, improve efficiency and avoid risk, achieve innovation from business operations to products/services, improve user experience, build new competitive advantages of enterprises, and then realize the transformation and upgrading of enterprises.
Data is a strategic resource
Enterprises need to fully understand the connotation of the three dimensions of business ecology (full process, full interface), market demand (customers, consumers, social demands), and value creation (value sharing by multiple stakeholders), find out the business logic, and make the realization of this logic fall on the fulcrum of creating economic value while creating social and environmental value.
Digital and intelligent transformation path
In short, informatization is the primary stage of enterprise transformation, based on IT means to improve internal management efficiency; Digitalization is the evolution stage of enterprise transformation. It optimizes enterprise operation comprehensively with the support of big data and cloud computing technology. Digital intelligence is an advanced stage of enterprise transformation, which is the intelligent application of data as a factor of production under the auspices of artificial intelligence technology.
The essence of digital intelligence is business innovation, intelligent innovation of operation management, revolutionary subversion of the traditional business model, and redefinition of the future business ecology.
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