Explain in detail the concepts of informationization, digitization, data and data operations and their differences

Many people are easily confused and not easy to distinguish. Therefore, these words are often used unscrupulously in various occasions.

Let me explain the concept of these four nouns first.

Informatization is a management tool, and the job of informationization is to informatize management.

Informatization is to digitize the business processes of the company's production process, material movement, transaction processing, cash flow, customer interaction, etc., and generate new information resources through various information systems and network processing, which are used to provide information to people at all levels. What is the current situation, "Where does the process go?" and other dynamic business information. In order to make decisions that are conducive to the optimization of production factor combination, the enterprise resources can be rationally allocated so that the enterprise can adapt to the ever-changing market economy competition environment and obtain the maximum economic benefits.

At present, the enterprise information management systems applied mainly include: OA office automation system; CRM system for managing customer relationship; MES manufacturing execution management system; MDC production data and equipment status information collection and analysis management system; PDM manufacturing process data document management system Wait.

Digitization is the best way to advance informationization.

The so-called digitization is to transform many complicated and difficult-to-estimate information into binary codes of 0 and 1 that can be processed by computers in a certain way.

At present, the "digitalization" that everyone is talking about actually has such a background and characteristics:

Customer/market first culture. Who is your customer? Where is the market? They are the object of your digital service. What kind of service does the other party need from the user and the market? Where are the customers, make every effort to attract them, keep them and please them. In order to transform digitally, it is necessary to create a corporate culture that meets the needs of customers, and that can benefit other customers, and can quickly change customers or services that help customers reduce costs.

Instant feedback. In the digital world, customers are expecting immediate feedback from their requests. Customers won't wait a few more minutes, hours or even days just to know if their request is a success or a failure. The response time of the digital world has begun to be measured in milliseconds.

real time. The digital system should be able to accept requests 24/7, should be available on demand, and should be able to use/return the latest data.

automation. Digital services should include as many computer processes as possible (ideally 100% by computer), and the fewer human interventions needed, the better.

intelligent. The tedious work should be handed over to the digital service to minimize the effort and understanding required by the customer or other personnel.

Online. The digital system should be accessible from anywhere via the Internet and should not be subject to any restrictions on equipment and usage.

Advance the change. It should be defined by a digital service business process, rather than a business process to define a digital service. Digitization means that business processes need to change in order to adapt to the world of computing, not the opposite.

Digitization brings data.

Dataization is the process by which a problem is transformed into a quantified form of tabable analysis. The most intuitive is the company's diverse reports and reports.

Data Management = Data Analysis + Service Business + Improvement Management

Data management (about equal to) data management, the former is common in the Internet industry, rising to all industries is actually called data management.

Talk about data analysis before talking about data management. Data analysis is the process of analyzing the large amount of data collected by appropriate statistical analysis methods, extracting useful information and forming conclusions.

Data analysis can only answer a question, such as analyzing the rate and reason for the decline in sales, but it does not tell us what to do, that is, data analysis itself does not bring maximum performance and efficiency. Therefore, data analysis combined with people's decision-making and business actions, the correct analysis results can be applied to the business level in the most practical way to generate benefits, and only continuous production of benefits can be called data management.