In practical application, it is necessary to recognize what value data can produce. Sometimes, the same set of data may produce completely different values on different occasions; Sometimes a single piece of data has no special value and needs to be combined to produce value.
Data value one:
Identification and concatenation values. As the name implies, the value of identification is absolutely the only data that can lock your target, such as ID card, credit card, email address and mobile phone number. These are high-value data for identification and connection.
The way for e-commerce websites to identify "you" is your login account. Don't underestimate this account. Without this account, the website can only know that users have browsed some products, but can't know which users have browsed them, and can't restore users' buying behavior.
Of course, there is more than one way to identify users, and the traditional way to identify users also includes cookies. Cookies are a string of characters in a browser. For an internet company, this is a sign to identify users, and of course you can choose not to be tracked.
Then you will find that you searched for a word on the search engine, and you can see relevant information or product recommendations on many websites, which are all realized through cookies.
Many Internet companies rely heavily on cookies, so they use various cookies to record different user categories. A single cookies has no value, and the core value-tandem value is generated by the login behavior of tandem users on different pages.
However, modern society is no longer a simple era of "PC+ browser". 20 13 is considered by many people as the first year of mobile internet. In the following years, the way users contacted the Internet quickly turned to the form of "PC+ mobile phone +pad", and the Internet entered the multi-screen era.
In the era of diversified information, the way of identifying users' behavior simply by cookies is out of date. In order to solve this problem, enterprises began to use some kind of account system to restrict users. Remind users to register with their mobile phone number or exchange more rights on various occasions, basically hoping to "recognize" users in the multi-screen era.
Data value 2:
Describe value. Generally speaking, descriptive data exists in the form of labels, which is some data after preliminary processing, which is also the most basic work done by data practitioners in their daily lives.
A company's annual operating income, profits, net assets and other data are descriptive data. In the daily operation of e-commerce platform enterprises, the data describing the business include turnover, number of users, website traffic, website detail page traffic, number of sellers and so on. We can observe whether the trading activity is normal through the description of the business in the data.
But for enterprises, the descriptive value of data is not directly proportional to the realization of business objectives, that is, the more descriptive data, the better, but the data closely related to the business should be collected. For example, an e-commerce company with both PC platform and mobile platform business may pay more attention to the turnover on PC and the number of active users on mobile platform.
One of the best ways to describe data is to analyze the data frame and extract the core points from complex data, so that users can see the business situation in a very short time and at the same time let users see more detailed data they want to see.
The framework of analyzing data is the basic requirement for data analysts. Based on the understanding of data, the data are logically classified and displayed.