Stop talking big numbers, what's important to the grassroots is real thinking.

Intermediary transaction SEO diagnosis Taobao guest Cloud host technology Hall

In any one field will continue to appear new technologies and models, such as the rapid development of the Internet and rapid updating of the field is certainly no exception. Topics such as mobile Internet, O2O, IoT, Big data, cloud computing and so on are all new technologies or patterns that have been widely discussed in recent years.

None of these words represents a very fashionable technology or model, these things seem to be engaged in the Internet industry to get the general, not for the other is to packaging their own, so that they appear professional. What I want to share with you here is the big data that is now being sought after.

The reason why I came up with this serious question is that I was recently accepted by a friend of the company as an Internet service provider. His company is the kind of traditional enterprise, all the models are carried out in accordance with the traditional way, and even almost no information, such as all the discussion is made of pen and paper, so is a pure traditional company. Of course, with all the concepts of the Internet, they have been watching. and the internet marketing company to throw an important selling point is to provide enterprises with their own large data analysis and to facilitate the third party's large data analysis to guide their operations.

It turns out that what they call a big data service is a few pictures of public Internet data reports on the Web, and then explain it to the picture. For example, the month of the major search engines in the domestic market share, and then explain who is the first three, the share of the respective shares are, in fact, these analysis results as long as the brain normal people look at the picture is very clear. As long as you think about it, you can see that the concept of outsourcing companies to come up with big data is just a little bit of a bluff, a company like my friend can talk about their own big data, one is that they are hundreds people's small business, and the second is that they have no information management There is no storage of relevant data, of course, the paper is still recorded. And the outsourcing company did not ask for the data written on paper.

As my friend said, when they were finished, they found that these glamorous concepts were just a disguise for their money. Yes, I guess I'm going to ask the guy who specializes in big data solutions. He didn't know anything about the big data, because one of his teams might be the number one, of course, if he said it was to help the enterprise to solve problems with large data, and to develop a habit of attaching importance to data analysis. I think it might be true, but it's always the perfect big data solution, and I think it's too unreliable, after all, we and them are grassroots teams, not giants like IBM.

Does that mean that big data has nothing to do with our grassroots? Obviously not, and since there is such a thing to be concerned about, there is certainly a reason for its existence, and since many large companies have applied it to substantially improve their operations, it has proved to be valuable; Grass-roots teams and even individuals may not be able to grasp data of large numbers, but we can use large data to solve problems and analyze problems.

First of all, although you do not have large data, but you can use their thinking to manage and analyze the day-to-day data.

At this point I do not want to talk about some of the truth, just want to pass the most common cases to illustrate the problem. We all know to do the website one of the standard is the statistical function of the site, and for us such a grass-roots soft generally such tasks are the use of third-party services, such as CNZZ, Baidu statistics, Tencent analysis and so on. Most of the time we use these tools is mainly to see how many independent visitors a day, independent IP, page views and the number of search engines to the site how many times, key words and so on, can be said in addition to traffic monitoring is to SEO services. Others seem to be rarely used, while others are very valuable, and the analysis of those data is very good for our decisions. For example, visitors ' browser information, from which we can analyze the browser status of access to the site, such as a large proportion of users are still using the old version of the browser, then we design the site is not suitable for the pursuit of beauty and efficiency of crazy applications such as CSS3 such a new standard; Of course, if through analysis that the vast majority of users are using a new version of the browser, then we do not use the new standards to design the site to improve the efficiency and beauty of it? In an example is the terminal screen information, we now many PC-side sites are using fixed width, And everyone will find that basically now the terminal screen is more than 1000px, if your site is still using 600px of the main width, it is obviously an antique.

Second, the use of external real large data to guide their decision-making.

As mentioned earlier, our own data is clearly not big data, but in the field of internet companies are really big data, such as Baidu. We can find that now whenever the holiday Baidu will unite some units published during the large data, content covers what people eat? What are you playing? and is this information simply for fun? For most people it's just a buzz, but it's vital to the people who want to use the data. We do SEO friends should know, usually when we provide SEO services for an enterprise, we will analyze their products or services related keywords, and this analysis process will use the third party data, and we often use the third party is to have large data, And the data we use is that it is analyzed by means of large data or tools. For example, we can search for a keyword by Baidu index of the heat, related keywords, search keywords crowd attributes and so on, all of which are actually the giant companies to provide open large data services.

Third, let oneself pay more attention to the data, decision-making is reasonable.

Many traditional companies do not have a long-term strategy, because they do not only the immediate benefits, but also because they are all the data are never interested in, they want direct money. With the social progress, from this big environment direct gold is not very easy, so many enterprises are eager to establish their own data system. The data to analyze the behavior of their customers, and those big internet companies to use their own large data and large data technology to do a lot of work, and bring them a high value-added. Therefore, we have a large number of thinking or awareness, I believe it will naturally let us pay more attention to the role of data, will be more standardized management of data and data analysis.

Now the internet is indeed more impetuous, a large part of the drift, no practice began to throw a conclusion, and then a large group of people began to follow this conclusion. Big data is not something that anyone can do, and it is only a handful of giant companies in the Internet that can have big data, so talking big data is just a waste of time and energy. But no matter how small our team even a person can not be less than a large data thinking, after all, it is a trend in the future, more or less can help us achieve some value!

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