The four characteristics of big data are introduced as follows:

One, the massive scale of data:

The biggest difference between big data and traditional data is the massive scale of data, which is so large that "in terms of obtaining, storing, managing, and analyzing the collection of data greatly exceeds the capacity of traditional databases and software tools". software tools".

In terms of the data owned by commercial WiFi enterprises, even if the data collected from the integration of a shopping mall or commercial center can hardly reach this "beyond the scope" of the data volume;

Not to mention that few WiFi enterprises can achieve the deployment of an entire commercial center, most of the commercial WiFi enterprises are still in a small-scale development. WiFi companies are still in the small-scale development stage, the data obtained is mostly a store or a separate business individual data, and can not be called big data.

So in order to collect massive amounts of data, in terms of the current development of the industry, the best choice is the enterprise cooperation, through cooperation, the collection of data from a number of enterprises, to fill the data gap area, increase the amount of data, the real sense of big data to big data stride.

Second, fast data flow:

Data is also time-sensitive, the collection of big data if not through the flow, and ultimately will only expire. Especially for commercial WiFi companies, most commercial WiFi companies collect data on the business behavior of some users, these behaviors are often time-sensitive.

For example, if a user's day-to-day consumption behavior in a clothing mall is captured, and if the data cannot be quickly streamed and analyzed in a timely manner, then the data captured may lose its value, as the user will not be buying clothes every day. Fast-flowing data is like constantly flowing water, and only constant flow can ensure the freshness and value of big data.

Third, diverse data types:

The third characteristic of big data is the diversity of data types, first of all, the user is a complex individual, a single behavioral data is not enough to describe the user. At present, the use of big data in the WiFi industry is mostly through the analysis of user trajectories, to understand the user's behavioral habits, and thus conduct user profiling, so as to achieve accurate push.

But a single type of data is not enough to realize user profiling, for example, I have previously learned that some enterprises can through the user for a period of time in a certain area of the dietary data, and thus in the user to enter this area to push the relevant information;

But this information is only purely analyzed a period of time of the user's dietary data, and does not take into account the user's physical condition, personal needs, and so on. The current stage of the physical condition, personal needs and affordability and so on, so the conversion rate of this push can be imagined.

Fourth, low value density:

Big data itself has a huge amount of information, this information from the collection to the realization do not want to be an important process of analysis, only through the analysis of big data from the data to the value of the transformation;

But as we all know, big data has a huge amount of information, but only a small part of the data may be really usable from the massive data to pick out a small part of the data to the value of the data;

But as we all know, big data has a huge amount of information, but only a very small part of the data may only be available. The data from the huge amount of data to pick out a small part of the data itself is a huge amount of work, so the analysis of big data is also often associated with cloud computing.

Only cloud computing, which combines dozens, hundreds, or even thousands of computers with analytical capabilities, can analyze huge amounts of data, and unfortunately, the vast majority of companies in the WiFi industry don't have the ability to do so.

The above four points, both the characteristics of big data, but also the impact of the WiFi industry, big data realization reasons, these factors for most of the WiFi business is very difficult to solve individually, which is why the need for the whole industry, and even with the cooperation of multiple industries to complete.

Of course the big data itself is also valuable, WiFi companies can sell big data to realize, just, compared to the value of the big data most obtained by multi-party cooperation, the value obtained by simply selling is really too little.