Recently, digital transformation has gradually become a standard configuration for enterprise transformation and development. Enterprises seem to be researching or carrying out digital transformation, which makes the popularity of related words such as informatization and digital transformation rise frequently. But at the same time, many people confuse informatization, digitization, and intelligence, and it is difficult to distinguish the connotations of the three.
The "14th Five-Year Plan" mentioned digitization many times, highlighting the important role and significance of digital development. Industry digital transformation has become a hot topic in the industry and academia. So what is the difference between informatization, digitalization and intelligence? Combining the status quo of technological development and the characteristics of industry development, Xiaoyi came to talk about this topic with you.
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Definition of informatization, digitization and intelligence
There are certain differences among informatization, digitization and intelligence, but there is no progressive relationship of substitution.
Informatization is the general term for "communication modernization, computerization and behavioral rationalization". Behavior rationalization refers to human beings following the generally accepted reasonable norms and norms; communication modernization refers to the process of information exchange in social activities based on modern communication technology; computerization refers to the generation, storage, and processing of information between social organizations and organizations. (or control), transmission, etc. are widely used in the process of advanced computer technology and equipment management, while modern communication technology is realized under computer control and management. Therefore, the degree of social computerization is an important indicator to measure whether the society has entered into informationization.
Digitization transforms many complex and changeable information into measurable numbers and data, and then establishes appropriate digital models based on these numbers and data, transforms them into a series of binary codes, introduces them into the computer, and performs unified processing. This is digitization basic process.
Intelligence refers to the attributes of things that actively meet the various needs of people with the support of technologies such as the Internet, big data, the Internet of Things, and artificial intelligence.
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The difference between informatization, digitalization and intelligence
To talk about the comparison of these three concepts, we have to first look at the characteristics of the three.
Through this picture, we can roughly understand the differences and differences between these three concepts. Specifically, we can first look at the difference and comparison between digitization and informatization.
First of all, informatization tends to improve points and lines. Take the barrel effect as an example. In the age of informatization, everyone is trying to find the long board. This is why they are often very cautious in selecting ERP and other systems, and will add various technical evaluation considerations. It has been used for decades. In fact, there are indeed many ERPs that have been used for decades. Secondly, informatization emphasizes norms and processes, and organizes various non-standard contents into the database and classifies them into categories. This is a problem of data digitization and information formatting. At this time, a mature and experienced system reserves more fields, considers more possibilities, and has more accurate information processing and more obvious advantages. Through informatization, errors and omissions are reduced, and a large number of business exceptions are merged with processes to improve efficiency.
Compared with informatization, digitalization is biased towards the improvement of the surface. Also taking the barrel effect as an example, digitalization emphasizes that there should be no obvious shortcomings, because the technology iteration speed is fast, and it needs to be aligned around the long board, which is a process of overall improvement. Secondly, digitization is not a new thing that fell from the sky. In the age of information, in addition to bringing efficiency and reducing errors and omissions, everyone has been exploring the value of data. In other words, what is the meaning of numbers, whether it is simple reports or Complicated BI is trying to explain through data: Why did it become like this? What might the future hold? Every time we delve into the answers to these two questions, we will be faced with the confusion of "insufficient data" just like the computer that answered the ultimate question. This is also the essence of digitization: by introducing more data, we can solve the meaning of numbers question.
Based on this basic difference, we can see that in order to do a good job in digitization, compared with informatization, different paths and skills are needed to achieve it.
But it is worth mentioning that whether it is informatization or digitalization, it needs people to implement it, and at the same time requires cost investment. And intelligence is to eliminate the role of human beings, and everything depends on machines to realize digitalization. The different paths of these three means choosing different ways and means, and you will get different returns in different cycles. Obviously, among those CIOs who were killed because of poor digitalization, many of them took a detour here.
From informatization to digitalization to intelligence is the general trend.
We often say that the value generated by information is 0-1, the value generated by data is 1-100, the two are additive formulas, and the value generated by intelligent algorithms is 100-10000, which is a multiplicative formula. Therefore, let us use an example of daily life to summarize the difference between informatization, digitalization, and intelligence. If we compare business to traffic lights, stop at red lights and go at green lights are our basic business rules. Informatization tells us that A There are 10 traffic lights on the road, and 7 on road B; digitalization tells us that the waiting time for the 10 red lights on road A is short, and the waiting time for 7 red lights on road B will be very long. Define the boundary, that is, there are odd and even number restrictions.
Only by clarifying the relationship between informatization, digitization and intelligence, can we make good use of these three swords in the digital age to empower the digital transformation of enterprises.
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The value of informatization, digitization and intelligence
1. Informatization
The actual business process is solidified in the computer and its network system, from the linkage of departments and positions, to the linkage of various departments of the enterprise, to the linkage of consumers, to the linkage of upstream and downstream industries. Realizing the solidification of processes and rules facilitates large-scale unified operations and collaborative operations.
2. Digitalization
Use smart products, smart device sensors, and visual recognition to automatically collect real-world data to form a digital twin in the computer. When the reality changes, the digital twin in the computer will automatically change. When the digital twin is operated in the computer, the real world will automatically respond synchronously, and there will be no misjudgment of decision-making caused by the separation of the real situation and the situation in the computer.
For example, the city commercial bank data management platform that Yixin Huachen helped Ganzhou Bank build is a typical example of digitization.
The overall goal of Ganzhou Bank’s city commercial bank data management platform is to complete the sorting out of each bank’s business line products, complete the new system, standardize field naming, standardize business interfaces, improve the data quality of regulatory data, and provide services for business development and financial innovation. help.
Ganzhou Bank and the Yixin project team worked together to complete the construction of a data management platform including three main modules: metadata management, data standard management, and data quality control based on clear project goals. The project construction results are as follows:
Relying on the basic data of four standards and four realities, integrate the government data resources of Liwan District, build a unified data platform of four standards and four realities in the whole district, and provide core data such as multi-source data collection, data management and control, data sharing and exchange, data analysis, data mining, and data services To empower the construction of digital government with big data technology, revitalize data resources, effectively support the data usage requirements of government services in the region and the data service requirements of business systems of various departments, and transform government services from "management" to "service".
3. Intelligent
First, it has an intelligent OS (complete software and service open system); second, it has intelligent sensing and the Internet of Things; third, it has visual recognition and voice interaction; fourth, it has deep learning computers to carry out resources ( Talents, materials, equipment, warehouses, transport vehicles, funds) optimal scheduling. When the huge complexity caused by industrial linkage is beyond human control, it is necessary to use artificial intelligence driven by big data to realize the automation of social resources and optimize the matching and scheduling of supply and demand.
In short, from the perspective of the IT department, informatization is the foundation, digitalization is the means, and intelligence is the goal. From the perspective of enterprise management, informatization, digitization, and intelligence are all ways to control the complex system of an enterprise. There is no essential difference, and they must continue to bring value, that is, high efficiency and low cost. Therefore, no matter which concept it is, it must be truly applicable in the enterprise to help the enterprise embark on the road of digital transformation.