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This article mainly introduces "what are the commonly used data analysis methodology". In the daily operation, I believe that many people have doubts about the commonly used data analysis methodology. The editor consulted all kinds of materials and sorted out the simple and useful operation methods. I hope it will be helpful for you to answer the doubts about "what are the commonly used data analysis methodologies?" Next, please follow the editor to study!

When many people do data analysis, they often encounter these problems: where to start the analysis; the content and indicators of the analysis are often questioned whether it is reasonable and complete, and they can not tell why. Therefore, when we are doing data analysis, according to the guidance of data analysis methodology, there will be no logical confusion and poles. The commonly used data analysis methodology is as follows:

PEST analysis method

PEST analysis is used to analyze the macro environment. Macro environment, also known as general environment, refers to all kinds of macro forces that affect all industries and enterprises. When analyzing the macro environmental factors. Because different industries and enterprises have their own characteristics and business needs, the specific content of the analysis will be different, but generally we should analyze the four main external environmental factors that affect the enterprise, namely, Political, Economic, Technological and Social. This method is referred to as PEST analysis.

5W2H analysis method

5w2H analysis is to ask questions with English words beginning with five w and two English words with H, and find the clues to solve the problem from the answers, that is, Why, What, Who, When, Where, How and How much, which constitutes the general framework of 5W2H analysis.

Logical tree analysis

Logical tree is also called problem tree, deductive tree or decomposition tree. It is a hierarchical list of all the problems, starting at the top and gradually expanding downward. Think of a known problem as a tree trunk and start thinking about what related issues it has to do with it. Every time you think of a point, add a "branch" to the trunk where the problem lies, and indicate what the "branch" represents.

The use of logical trees must follow the following three principles.

Essentialization: summarize the same problems into elements.

Framing: organizing each element into a framework. Abide by the principle of no emphasis and no leakage.

Relevance: the elements within the framework maintain the necessary interrelationship, simple but not independent.

4p marketing theory

In fact, there are dozens of elements in the marketing mix, which can be summarized into four categories: product (Product), price (Price), channel (Place) and promotion (Promotion).

User behavior theory

The development of website analysis has been more mature, there is a set of mature analysis indicators. Such as IP, PV, page stay time, bounce rate, visitors, new visitors, number of return visits, interval between visits, turnover rate, keyword search, conversion rate, login rate, and so on. We need to sort out the logical relationship between indicators. User behavior refers to the various actions taken by users to obtain and use goods or services. Users first need to have a process of cognition and familiarity with the product, then try it out, and then decide whether to continue consumption and use, and finally become loyal users. The theory of user behavior can be used to sort out the logical relationship between the key indicators of website analysis, and build a website analysis index system in line with the actual business of the company.

Generally speaking, several commonly used data analysis methods are: PEST analysis, 5W2H analysis, logical tree analysis, 4p marketing theory, user behavior theory.

At this point, the study of "what are the commonly used data analysis methodologies" is over. I hope to be able to solve your doubts. The collocation of theory and practice can better help you learn, go and try it! If you want to continue to learn more related knowledge, please continue to follow the website, the editor will continue to work hard to bring you more practical articles!

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