Recommended preface to "Key Thoughts on Big Data (Updated Edition)": People-oriented, exploring the real needs of users

[](https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEhhwY97I2sI7S-oraX8CPYTC0PjZ3nur2-CFFSlPsIG85bZgccdBaEBzax3 0HZDB98FIhhh48aDbM97x6vFy_CPb2a5nsNfZ56g2sCMsBtl5HF8D5DZvMD6o-6LK9xT1wjjagXF7BHLujY/s1600/%25E3%2580%258A%25E5%25A4%25A7%2 5E6%2595%25B8%25E6%2593%259A%25E7%259A%2584%25E9%2597%259C%2 5E9%258D%25B5%25E6%2580%259D%25E8%2580%2583%25EF%25BC%2588%25 E5%25A2%259E%25E8%25A8%2582%25E7%2589%2588%25EF%25BC%2589%25E 3%2580%258B%25E6%258E%25A8%25E8%2596%25A6%25E5%25BA%258F.jpg)

Since I left the media and Internet industry, I have been working as a corporate consultant, professional lecturer and columnist. Although I am busy at work, I do not feel resentful. Because of my work, I come into contact with a lot of information every day, and there are often more than dozens of reports to read. However, I feel at ease and have become accustomed to living with data.

A student of Writing Class once said that I am “a master of writing who majored in science and engineering”. In fact, although I initially studied electronic engineering as a junior college student and industrial engineering as a master’s degree, I also like to try cross-field learning, so communication, cultural creativity, and business management are all included in the scope of my studies. These experiences not only broadened my knowledge, but also cultivated my macro vision, so that I can be more systematic and organized when facing big data.

Let us return the focus to the book “[Key Thoughts on Big Data (Updated Edition)](https://www.books.com.tw/exep/assp.php/vista/prod” by teacher Che Pinjue ucts/0010850243?sloc=main&utm_source=vista&utm_medium=ap-books&utm_content=recommend&utm_campaign=ap-202003)》, I still remember that not long ago, big data was a popular keyword, but now it has blossomed. Everyone knows that big data may be important, but few people figure out how to use the power of data to solve various problems in people’s work and life.

Che Pinjue The teacher told us that although big data sounds cool, it is not omnipotent. If you want to know whether a problem can be solved by interpreting data, you must first think about five things to define the problem that needs to be solved, including: What is the problem? Whose problem? Is this problem yours to solve? Need to solve it now? Can the data be solved? Only when the answers to these five questions are yes, then it may be a problem that can be solved with data.

Teacher Che reminded everyone that if the scope of wisdom is not defined in advance, then you will not know how to measure the effectiveness of various emerging applications. Therefore, if you want big data to be effective, you must first clearly define the problem; in other words, pursue the process from knowing to not knowing.

Teacher Che has a unique way of interpreting information and data. He divides his drawing into four quadrants, that is, using predictability and the positive and negative directions of opinions as the X and Y axes. He believes that in fact, the problems that the corporate world can use data to solve basically revolve around business formulas and business value. For example, issues that have recently attracted considerable public attention in the field of growth hacking, such as how to attract customers at a lower cost? And how to retain customers? How to formulate price strategies, etc., although it may seem complicated, the answers can actually be found through the interpretation of big data.

What is intriguing is that although Mr. Che himself is a well-known big data scientist, he also believes deeply in Buddhism and numerology. From his point of view, big data is somewhat similar to fortune telling, but it is not enough to determine the footprints of life. More information is needed to assist interpretation. The most important thing is to seize the opportunity to change your destiny, as he said in “[Key Thoughts on Big Data (Updated Edition)](https://www.books.com.tw/exep/assp.php/vista/products/0010850243?sloc=main&u tm_source=vista&utm_medium=ap-books&utm_content=recommend&utm_campaign=ap-202003)》The key point mentioned in the book is that the essence of big data is actually to restore the real needs of users first.

Therefore, Mr. Che also constantly reminds us that in this era of rapid advancement in digital technology, we still need to be people-oriented when engaging in data analysis, that is, we must pay attention to user experience. The applications of big data have begun to become diversified. We should assess the situation and welcome the era of big data with a broader mind and vision. Having said that, we cannot let current technology limit the development of future products, nor can we only value the power of data and ignore the warmth and essence of people.

I will always remember the first time I read Mr. Che’s work. In addition to admiring his technical qualities, I was also impressed by his romantic feelings. This time, I am very happy to have the opportunity to recommend this masterpiece by Teacher Che to all my readers. If you are interested in big data, please don’t miss this [special book](https://www.books.com.tw/exep/assp.php/vista/products/0010850243?sloc=main&utm_sourc e=vista&utm_medium=ap-books&utm_content=recommend&utm_campaign=ap-202003)─You know, good books can often withstand the scourge of the times. This masterpiece by Teacher Che is one of the best examples.

[ ](https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEiO199G0ucEtFZnzdyK8py9lxmV1bR1nYnVGfr9banv0PqB9rHeHWD aMop8-IqppvyaOUzPHgk7j5A3fTJ2kYXz1sBiBYT8TdONN_OHRu6RzuH-HZOGSvnnEUdt0z2Bw8cnSsBrmas0kp7Y/s1600/b_illust_91_0M.png)

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Further reading

• Recommended Preface to Dami Economics: Information freaks will create a new order
• “Big Data @ Work Force: How to use huge amounts of data to create competitive advantages for individuals and enterprises” Recommended Preface: Wandering in the vast flow of big data

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