No data analysis webmaster is not a good "businessman"

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Good evening everybody, small also and everybody meet. Today I want to talk about webmaster "accounts" problem, don't be nervous, "The reckoning" is not to say I want to find you webmaster trouble, but want to share with you webmaster in the data analysis encountered some problems. On weekdays We buy things, we always see businesses holding the ledger in that accounting data, and then formulate and our strategy, that is how to earn the most without losing customers. In fact, this and webmaster analysis of the site data, the webmaster also need to the site's data for a comprehensive and reasonable analysis, because the only way to make the site long-term development, or their own site an IP is no, we also earn whose money? So from this point of view, no data analysis webmaster is not a good businessman! Then the webmaster in the data analysis, often annoying those problems? I would like to combine their own shortcomings, and share with you.

No clear purpose before analyzing data

In fact, we should all have a problem. Take myself to say, open the website every day I will be in the first time site of their own website, then will look at the site's various data, such as IP source, user bounce rate, but these are some surface work, because before in the A5 read articles, Said a successful webmaster should have strong data analysis capabilities, so I added the data to view this step, but to be honest, this step didn't really help me much, just like when the teacher in high school let us often see the "wrong title", we know that this is the standard of good students, but when they actually go to see the wrong title set The time, would be a mere formality, tend to face the project, looked and did not see the same, so since the webmaster every day to see the data, as well as a goal, such as today I analyze the user area distribution, and then adapt to local conditions, strengthen the network influence in that area, do some really useful things, Don't let yourself see the data just blindly self-pity.

No increase in time utilization

You may think that I am in the nonsense, data analysis and time utilization of the relationship, in fact, is not so, do anything to pay attention to the efficiency, when people think that the data analysis is to do what the words, that is wrong, the data analysis to grasp certain steps, Not only can save their time to do other activities on the site, but also to make their own analysis of the results become more accurate, explanatory power. In general, I analyze the data to follow the steps of collecting data >> collating data >> analyzing data >> landscaping forms, because these steps allow my data to be a superficial to a deep layer of excess, for example, For example, I see today's Baidu contribution IP is 2000, then I will sum up the number of other search engine IP sites, and then analyze the contribution rate of the difference, and finally in the optimization of the focus on processing, so that the data is no longer a simple figure, at least for my site to contribute to the construction of a force, So from this point of view, we are in the data analysis, we must estimate how much time each step will take, which step is more important, need to spend more time and so on, to achieve a focus of analysis.

The data is not being mined.

This is a self-criticism, because as far as I am concerned, one of my frequent mistakes is that data collection and analysis are not handled properly, and many times I spend too much time on data collection so that the data in my own hands are often not effectively analyzed because of insufficient time. Just like their previous use of 1 weeks to do user analysis, the results of the final because the site changes directly affect the weight, the user clicks plummeted, the data also does not have the explanatory power. There is another reason is that they always think that the time is long, the data collected first, and then do analysis, it is such a drag mentality to make their own data is not the slightest use, just empty shelves. So from this point of view, data analysis should focus on analysis, should be the fastest speed collection of data, have more time to collate and analysis, the final analysis of the data is the most valuable.

Collect data "greedy", unable to organize and export data

This is also a common problem, many times we collect data will fall into the big, miscellaneous misunderstanding, no matter what content is included in the account, so long will make the content of the Web site more and more, the last time I do a table, the data directly filled to the last page, let me see himself are dizzy, how to talk about the data analysis and summary? ? So the webmaster in the data analysis, must to achieve targeted, can not take the whole collection, collecting data should be filtered first, what data for the site is helpful, what data is only reference value, to do in mind, this can reduce the workload, but also to make the analysis process in the future become easier.

Cannot be effectively "analogy" with data

Most of the time we should look at nature through the surface, see their users jump rate is very high, then we will be the user's IP source, the user's main distribution area, users, such as a series of analysis, and then make a table to organize effectively, rather than looking at the user jump rate this form and "dejected", After all, a data can not explain the problem, only to show the problem, so we want to analyze the top ten of a certain type of site, it is necessary to know what the industry is the best site, the best industry site should have what conditions, these conditions are listed, and then according to the conditions to collect the data Finally meet all the conditions of the site is one of the best industry sites.

Excel is not beautiful, not clear

Usually, we do data analysis of the use of Excel table records, and a beautiful clear table not only makes it clear that we can see the focus of the data, easy to find the data, but also let us calm down to analyze the data, imagine a full data, How does the Red line form make us find what we want to know at the first time? So from this point of view, the webmaster should be more contact with Excel, more than a beautiful data analysis, not only can let oneself quickly find the site of the problem, but also to allow themselves to see the comfortable point, two birds.

It's a matter of executive power.

This point even if I mention 100 times, there are many webmaster disagree, because even if we do not analyze the data, the site will run, and will not because we analyze the data and make the website development more smoothly, also do not analyze the data will not bring direct drawbacks to the site, more importantly, the webmaster every day a lot of other work needs to be done, Data analysis It's time-consuming to tell the truth, so based on the data analysis no immediate benefits, many owners give up, for this I do not want to say anything, I only play a metaphor, you are in a high pollution environment, you think is a day to do a check safety, or a year to do a check safety? Some "problems" or early detection is better What do you think?!

Data analysis is one of the necessary ability of webmaster, this is beyond doubt, but we can not be a mere formality, just scripted, look at the data every day, and then say, "Ah, my site rankings how to drop the" This is not useful, if the last site closed, then the culprit is the webmaster himself! Above is my website Chinese source net http://www.v161.com feeds, A5 starts. Reprint please retain the above information, thank you.