In the Internet industry, the value of data analysis is increasingly prominent, such as industry data analysis and website traffic data analysis. What is the value of data analysis? What should the work content of data analysis include? What abilities should employees have? How does data analysis help operation and market? This is the role of data collection in the early stage of data analysis. There are more and more data on the Internet, including behavior data and transaction data. Analyzing these data has the following functions: 1. Analyze user behavior data, design and improve Internet products; 2. Analyze users' consumption data to attract advertisers and design better paid products; 3. Analyze the user's potential behavior data, establish model mining, and find the future development direction of the market. The results of data analysis are mainly seen by people in the following departments, and people in different departments lead to different data analysis positions. 1. Data analysis of consulting companies. For Internet companies, this position is a consulting manager; 2. Data analysis of Internet companies. For sales, this position is a business analyst or a business analyst; 3. Product analysis of Internet companies. For product planning and operation, this position is collectively referred to as data analysis. 4. Strategic analysis of Internet companies. For the boss, this position is a strategic analyst. 4. Market analysis of Internet companies, focusing on products, sales and operations. , provides a more comprehensive analysis. This position is a market analyst and so on. Data analysis is just like the satellite positioning system on cruise missiles, which can help us accurately analyze competitors' information and the advantages and disadvantages of our own products. Why will it bring us income? And so on ... but the key to data analysis is that analysts are very familiar with the business, and can establish an effective analysis model, constantly verify the algorithm of the model with the collected data, and finally give guiding suggestions and reports to help product designers and operators improve their products, enhance user experience, and make more money for the company! Data analysis is a matter that consumes human and material resources of the company, and the input and output must be controlled. If the input-output ratio is correct, the ability of the person in charge of analysis must be re-evaluated? Or the execution of data analysis report? Data analysis always needs to analyze possible internal inevitability related events from countless accidental data! Data analysis is a kind of ability, not a post. For a small startup, it is nonsense to set up such a position. The person who does data analysis should be the one who cares most about business, because data is the most important to him. Therefore, product operators and product managers must have excellent data analysis skills, and everyone is the two groups of people who are most concerned about business. Data relativity, data is useful to those who need it, but useless to those who don't. It is meaningless to accept some analysis results actively and passively. The result of data analysis is to give a conclusion.