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    Wang Jian: Taobao'S Biggest Contribution Is To Find Out The Habits Of Consumers.

    2014/4/22 21:06:00 36

    Wang JianTaobaoConsumer Habits

    < p > 2014 the annual change of Chinese green companies: the era of change: reality and foresight was held in Nanning, Guangxi from 20 to 22.

    Alibaba group CTO Wang Jian spoke at the roundtable Forum on "big data" pformation of enterprise operation and management.

    < /p >


    < p > he said that Alibaba's understanding of the era of big data is still primitive, but in a sense, it will not exceed Suning's understanding of the group's e-commerce.

    Wang insisted that Suning group should be respected, but Suning's understanding of e-commerce is not enough.

    < /p >


    < p > < strong > below is Wang Jian's statement: < /strong > < /p >


    < p > Wang Jian: before making big data, the impact on enterprises may also be traced back to the impact of the Internet on enterprises.

    To make it clear, let us understand the understanding of big data to enterprises, there are three things that may be indispensable.

    < /p >


    < p > one is the Internet.

    The most popular word in the Internet is cloud computing, which is big data.

    The reason is very simple. Internet Co must be a data company.

    The Alibaba held a meeting in 2008, and suddenly discovered that it is not an e-commerce company, but a data company, which has a very large impact on the company.

    < /p >


    < p > second things have a very big impact on enterprises. When they discover that they are data companies, they suddenly find one thing that is missing, and what do they lack to turn data into wealth? What do they rely on? That is, cloud computing is the only way to get the value from the data at the lowest cost, so we can imagine that if we can not get the lowest cost, we will not be able to live. This is the most basic.

    < /p >


    < p > second understand that computing must become a public service. Since 2008, for our enterprises, we have expressed the Alibaba in another way. We have said a few words. People who are not on Taobao may not have much. Taobao's greatest contribution to Chinese society is not to let everyone go shopping. The greatest contribution to society is the habit of consumers in our own enterprises.

    The habit of consumers is data, which is reversed.

    Sometimes Ma will also say that the company is selling data with data. The Alibaba is selling things for data. This is a basic difference, and we are slowly coming.

    < /p >


    < p > the small loans that Alibaba does is most important to reflect the value of data, or Internet data. I will not talk about the value of big data and Internet data. In the past, if we want to talk about loans, the most important thing for banks is to investigate credit and mortgage. These two things.

    Investigating credit is a traditional way of looking at data, and it can be said that it is data. But why is it traditional? It has nothing to do with the Internet.

    How do we use data to become an enterprise's credit? The data that it used to precipitate on our platform is not the data we collected, it is the data that precipitated. These data were useless in the past. But since we turned it into a model, it became the wealth of the small business after it became a letter, which made us make loans from more than 300 employees to 700 thousand people, which is the utility and value of data.

    < /p >


    "P" over, the impact on our "a href=" "http://www.91se91.com/news/index_c.asp" > organizational structure < /a > is great. In the past, doing things in this way, today will want to do things in another way, and the impact on our organizational structure is very big.

    What do I mean by that? If you talk about the data today, don't think that big data is changed from data to big data. This is not true. Actually, today it is a better way to pform the past from a so-called information society into a data society.

    What is the meaning of this sentence? In the past, because there was no Internet, because there was no computing power, the data you could get must be something that you felt immediately valuable.

    Today, because of the enormous computing power of the Internet, you can get a lot of data today, instead of pursuing today's data value, but it can bring greater value on the second day.

    From the first day, we all know the data. It is a change from information to data. Because of the Internet and computing power, we can imagine that the first day will be the most useful information. But after two days, it turns out that what seems useless today has become the most useful thing. Google is the best example. Making a click and mouse click can earn thousands of dollars. In the Microsoft era, how many people click the mouse and nobody has turned it into wealth, but the < a href= "http://www.91se91.com/news/ index_c.asp >" Internet < /a "era has turned it into wealth.

    This is a very typical example. Collecting information just now does not seem to be your fortune today. Last year, something that looked worthless could become wealth. This is a very important understanding of Alibaba itself.

    < /p >


    < p > today we understand the < a href= "http://www.91se91.com/news/index_c.asp > > Data < /a >, though many consumers like it, but it is still very shallow.

    What I have said to Ma always reflects on our own company, and Alibaba's understanding of data is still very primitive. Another point of view is that Alibaba's understanding of data will not exceed Suning's understanding of e-commerce.

    Suning group should be respected, but Suning's understanding of e-commerce is not enough.

    < /p >


    The meaning of this sentence is still very shallow. We respect the data very much. We just respect the data. We just want to express that we are in a very primitive state. In this industry, we have just started today. There are no experts in strict terms. We are all confronted with new problems, but the challenges should not be underestimated. We should go out of two erroneous zones. One is that we should talk about the past data in the past and talk about the data in the past, and talk about it a little bit today and move the method back to the P again.

    Second, apart from the Internet and cloud computing, data is also a big misunderstanding.

    < /p >

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