What is the difference between digitalization, datatization, digital age, big data already and what is the connection?

Digitization, on the other hand, is the best way to advance information technology. The so-called digitization is to turn a lot of complex, we can hardly estimate the information through a certain way into a computer can handle the binary code of 0 and 1. Digitization refers to the process of transforming problems into a quantitative form that can be tabulated and analyzed. The most intuitive of these are the various forms of corporate statements and reports.

Data-enabled management = data analytics + service operations + improved management. Data-enabled operations (approximately equal to) data management, the former is common in the Internet industry, rising to all industries are actually called data management.

Digital era is actually synonymous with the era of electronic information, because all machine language of electronic information are represented by numbers, so people will be beautifully called the digital age, all built on the basis of electronic information, information transmission is high-speed and convenient, but people's computer The computer's dependence on the computer will also be more and more, and a variety of electromagnetic radiation in succession, crisscrossing every corner of life, so that there are benefits and disadvantages .

Big Data speaks of an application scenario in the context of the mobile Internet and the Internet of Things, where a variety of applications generate huge amounts of data that need to be processed and analyzed to mine valuable information.

Data Analytics:

Data analytics is the process of analyzing a large amount of collected data with appropriate statistical analysis methods to extract useful information and form conclusions.

Data analysis can only provide an answer to a particular question, for example, it can analyze and come up with the rate and reason for the drop in sales, but it doesn't tell us what to do about it, that is to say, data analysis by itself can't lead to maximized performance and efficiency. Therefore, data analysis combined with human decision-making and business actions, the correct analysis results with the most practical way to apply to the business level in order to produce benefits, only continued to produce benefits can be called data management.