Data analysis.

To make a statement, according to the traditional definition, I am not really a data analysis master, a variety of association algorithms, will only be the simplest one (say a number of occasions are also useful); all kinds of digging technology, basically ignorant; all kinds of good data analysis tools, in addition to the simplest of several free statistical platform, almost no use. Therefore, a variety of Master High Master, please feel free BS, or ignore. Here say a little master not to say.

From micro-blogging, there are two jokes about data analysis on Weibo, I often as a case, the first joke, said that an investor of an enterprise is interested in the industry, to do background checks, a technology flow, a week to analyze a variety of online data, looking for industry materials, every night, and finally write a report; And the other executives had a drink, and asked the other core staff to eat dinner, all the insider data is complete, ask who is the right way; the second one, a dealer found that competitors Taobao store, week income suddenly fell 30%, but after a natural recovery after the week, there is no other abnormal phenomenon, so the boss let analyst analysis, Bitter analyst Hard Days, do a variety of mathematical models, and finally find a reluctant reason to justify, the boss read, although not convincing, but there is no more reasonable explanation, one day, see the opponent boss, chat this matter, "you a period of time how sudden income decline?" "Hey, don't mention it, the mother-in-law died, go home funeral, the company sheep." The boss suddenly realized.

Two jokes, the first joke, micro-blog on the one-sided said that the bitter analysis is not a network of useful; the second is similar, one-sided thinking that the information of the network is more effective than the bitter analysis. But what I want to say is that this interpretation is absolutely wrong!

First of all, in fact, the network has no shortage of this "well-connected", especially the media circle, some so-called "it name" or "famous critics, analysts" and all kinds of Internet Big Brother, every day confidential, but? They never study products, don't analyze users, so, they know the data, but do not understand what is behind the data, more do not know what is important, what is secondary, I sometimes criticize such friends around, do not feel that they know a few internet big guy's lace news, when they are senior industry people, It is because of the mastery of these things and to show off, but instead of ignoring the real valuable information and valuable data. That's why mixed web media, have seen a variety of people in the market, in the Internet entrepreneurial wave, there is little chance of success of the real reason, from the idea of a wide range, omniscient, in fact, because of the lack of the most basic data background analysis, so that is what seems to understand everything, under the fact that nothing understand. Please remember that unless you are rich second generation, the official second generation, with the Golden Key was born, that is not in my discussion, otherwise, no bitter experience, there is no great achievements.

I often subscribe to some famous analyst's microblog, the data they disclose are often valuable (which is why I subscribe), but their interpretation is usually miserable, and that is the only thing that looks bad, and just flipping through their readings, it can be said that their data sense and data perception are poor and ridiculous, Even lack of the most basic data verification and research capabilities, they got a company core data what? Without the analysis of bitter force, they actually can't see anything.

The second is the same, if it is not a continuous and effective data tracking, how can come to the conclusion of the descent 30%, this data conclusion and the information obtained by mutual verification, will get the full true results, or just small talk, how can you know the other side of business management on the impact of the scope of performance Bitter analysis may not be a good source of information, but the knowledge and accumulation of the data you get will never be given to you.

So, again, the basic data tracking and the daily sense of the data, can not be ignored and ignored. Network information can be an important source of data interpretation, but it must not be a distraction from the basic data analysis work.

(Responsible editor: Fumingli)