Since a data company is a company, it must be for profit. And the data they collect can be regarded as their goods. If they want to make a profit, then this so-called commodity must have a market. There is a market for goods, that is, some people are willing to bid to buy or trade. Commodities have their own value.
In other words, if the data is valuable, you need to guide yourself to collect what data according to the needs of customers. This method has low cost and strong pertinence, and its disadvantage is passivity. Or, it is to collect raw data extensively first, and then process and refine the raw data according to your own needs when consulting customers (this involves big data analysis in statistics, and special statistical software such as SARS or SPSS is generally used. However, it is still necessary to create a convenient and reliable raw data collection and classification system. This way, high cost, low efficiency, but positive.
Below you can imagine how the detailed data are counted. We might as well regard the object of data source as a sample, such as collecting data information about students' family situation, and we can regard students as samples. The sample can be human or other. For business data, the sample is mainly people, aiming to analyze the consumption status of the sample, such as consumption capacity, consumption structure, consumption trend and so on.
After the sample is clear, the sample attributes to be collected can be formulated according to the customer's needs. There are many attributes, such as height, weight, age, health status and income.
After determining the sample properties to be collected, the following is an in-depth analysis of the sample properties. Then, reasonable investigation questions are formulated for each sample attribute to form a questionnaire system.
After the questionnaire is formed, it can be published online in cooperation with major professional questionnaire websites.
The above is the correct method. There are others, such as direct purchase, stealing sample information is also a way. For example, cooperate with banks, hospitals, hotels, schools and major Internet to exchange sample information.
In short, there are many means, depending on the data company.