In the past, people made decisions mainly through quantitative analysis, which was based on the experience and intuition of decision makers. The disadvantages of this kind of decision mainly lie in the uncertainty of decision results and the high probability of decision mistakes.
With the continuous development of the Internet and the popularity of Internet of Things devices, all kinds of data of people's activities are consciously stored. Data collection enables us to make better decisions through quantitative analysis of data.
For example, many Internet companies have set up big data teams to collect users' social, e-commerce, search behavior and other data, formulate business decision-making basis through the collected big data, and find opportunities for innovative products through data mining.
While meeting their own internal decision-making needs, large Internet companies have also become big data departments, empowering other companies. For example, Sesame Credit, the data product of Ant Financial, can not only be used as the basis for credit audit of various financial products within ants, but also be open to many industries such as travel, finance and shared service companies, which greatly improves the threshold and convenience of credit services.
Extended knowledge
The connotation of educational data consciousness is that educational data consciousness is the inevitable requirement of data-driven teaching era, the basic premise of developing data-driven teaching practice and the premise of improving teachers' data literacy.
Educational data consciousness refers to the perception of the meaning and randomness of educational data. It is essentially a dynamic and comprehensive ideology, including data value consciousness, data acquisition consciousness, data application consciousness, data openness consciousness and data security consciousness. The formation of educational data consciousness is helpful to understand the random phenomenon in educational work and gradually develop the habit of speaking with data.
Data awareness is the basis of data concept, which can guide students to find, ask, analyze and solve problems, so as to obtain specific statistical knowledge and methods (in essence, knowledge and methods of data collection and analysis). Therefore, data awareness and data concept are the core of statistics, the "big concept" and core literacy of the upper level.