The perspective of "big data" is not new in recent years. Looking back at history, it has existed for a long time. Only then did the word "big data" not come into being.

/kloc-in the 0/9th century, "quantification" was applied to navigation. /kloc-the 0/9th century is still an era of word-of-mouth navigation experience, and some of them have even been proved wrong. The nautical chart made by navigator Murray through quantitative analysis is one of the earliest practices of big data. After a carriage accident caused leg disability, the young naval officer Murray quit his job at sea and went to the chart and instrument factory. In this place, which proved to be his blessed land, Murray read and sorted out the navigation books, maps, charts and logbooks stored in the warehouse, integrated these records, divided the whole Atlantic into five parts according to latitude and longitude, and marked the temperature, wind speed and wind direction monthly, which provided a reference for finding more effective navigation routes. Later, in order to improve the accuracy, Murray created a standard table for recording navigation data and used it on all naval vessels and some merchant ships. By analyzing these data, some natural navigation routes were found, which reduced the navigation distance by one third for the navy and merchant ships. The use of artificial data has fully demonstrated its effectiveness long before the digitalization of information. With the continuous improvement of data storage and processing capabilities, the application fields of "big data" technology are also expanding.

In the 20th century, "quantification" was applied to investment. In the financial field, the word "quantification" often appears in the form of phrases such as "quantitative investment", which refers to the trading method of issuing trading instructions through quantification and computer programming to obtain stable income. Its essence is to replace the traditional qualitative analysis and make investment decisions based on data. "Quantitative investment" has been developed overseas for more than 30 years. Its investment performance is stable and its market scale and share are expanding, which has been recognized by more and more investors. The financial field is a field where data is relatively concentrated and easy to perceive, but the stage of quantification is far more than that.

2 1 century, "quantification" was applied to the study of sitting posture. Professor Shigeki Yueshui of Japan Institute of Advanced Industrial Technology will use quantification in sitting posture research. By digitizing the figure, posture and weight distribution of the seated person, the unique accurate data of each seated person will be generated, and the identity of the seated person can be identified according to the pressure difference between the human body and the seat, with an accuracy rate of 98%. This technology can be used as an automobile anti-theft system. Through this system, the car can identify whether the driver is the owner or not, and set corresponding safety measures. Data extraction, only you can't think of it, you can't extract it without it. The key is how to extract it and how to use it.

Digitization, not digitization. The former refers to the process of transforming phenomena into quantitative forms that can be tabulated and analyzed; The latter refers to converting analog data into binary codes represented by 0 and 1. With the advent of the digital age, it is very important to have a clear concept of these two concepts in your mind. Digitalization focuses on "I (information)" and digitalization focuses on "T (technology)". The development of digitalization has improved the feasibility of digitalization.

"Digitized" text. Google's digital library is a model of text digitization. Through the digitization of words, people can use it to read and machines can also use it to analyze. Google uses these digitized texts to improve its machine translation service. From a few years ago, it was equivalent to the translation level of high school, and now it is amazing. Really surpassed an author whose English level was deteriorating (let me find a place to squat and cry for a while).

"Digital" orientation. With the widespread use of mobile phones, people's real-time location information can also be digitized, and the digitization of location information has given birth to many new values. For example, Iger, the founder of wireless data technology company Jana, used the mobile phone data of more than 200 wireless operators in more than 65,438+000 countries, not only paying attention to how many times housewives go to the laundry every week on average, but also trying to answer the question of how the disease spreads. New uses of business and social research are constantly emerging.

Digital communication. Personalization is the forefront of data. Facebook digitizes relationships, twitter digitizes emotions, and linkedin digitizes personal experiences. These social networking platforms digitize individuals and their communication in various ways, and store a large amount of user data. The initial application, such as the analysis of Weibo data text by De Winter Capital Hedge Fund, obtained the signal of stock market investment. Although the use of data is far from mature due to privacy issues, it is not difficult to imagine whether everything in the world is no longer everything in the world, but massive data when data is fully used.

I still have some reservations about seeing this sentence that everything can be quantified. Because, absolutely. But it seems that this is just a transfer of ideas, in order to express the importance of digitalization. The perspective of big data provides another perspective to see the world, but it is by no means the only perspective.