"Introduction" to the data to speak in the "access" and "use" of the two stages may have obstacles, some of the data is not what you want to get, some data you can not be able to analyze, do data analysis to the overall product structure to understand, all the points of the data to be judged by the statistics, the purpose is what, From the core experience to the peripheral experience extension.
The following is a question of knowing some answers
1. Where is the data
Many people say, I do not have data to do? In fact, the data abound, the Internet all kinds of information are open, or even rampant.
Baidu Index, Google trend, this is seeing.
Taobao Hot List, as well as sales distribution, a lot of data can be obtained.
Third-party data reports, yes, have moisture, but a lot is worth seeing.
The results of the major companies, prospectuses, not to say that in order to buy shares to see, look at business trends, see industry trends, a lot of things worth seeing.
Well, someone said, I don't look at the data, I look at our product data, but developers off always do not give, in fact, the public data statistics tools have been very strong, Baidu statistics, CNZZ, Google statistics (say will be used Google statistics is really not much), then someone said, I want these statistics did not; , a lot of it is because you do not use, such as Bai at the Beijing Qcon Architects conference to share how to use Google statistical analysis of users around the speed distribution, let me also very inspired, that document on the Internet is open, custom code only two lines, the key is the idea.
2. How to read the data
Misreading is common, it is common to see the data, there is a clue but not clear is also common, so data analysis experts very rare.
This kind of thing, sometimes really unutterable, unspeakable.
I give some circles to do site friends to see some very exciting data, they will jump up, ask, so strong, why!
To the managers who are still working in Baidu, they will return a sentence, oh, what do you mean?
It feels very different.
In other words, I recently found that people who really understand the data in the enterprise recruitment is difficult to recruit, in fact, not these people lack, but these people are rarely working!! Countless successful grassroots entrepreneurs around me, I find them born, the development of the way, character, lifestyle, and so on is really different, but there is a common, that is, the sensitivity of the data is very strong, Caoz boast a, in the IT workers, the data is very understand, very speaking out, but I also understand , the real data master, others do not work!! For example, the front-end time of the smarter.com, the Taiwanese engaged in the search arbitrage, the operation in Shanghai sold 385 million U.S. knives not a few people in China know, it is really the model of transforming data into operation, Caoz Ziverus, compared with others is simply different.
If you really know where the data is and how the data is read, the Internet, for you, has no secrets and wants to do something that will simplify many times.
Share my talk about the state of data again
1. I know you don't know, for known mastery.
2. I guess you can't guess, based on known pre-contract for unknown.
3. I did not do it, based on the correct pre-judgment to form the right action decisions.