Data analysis refers to the process of analyzing and summarizing the data by analyzing the large amount of data collected by appropriate statistical analysis methods, extracting useful information and forming conclusions. This process is also a support process for the quality management system. In practice, data analysis can help people make judgments in order to take appropriate action.
The mathematical foundations of data analysis were established in the early 20th century, but it was not until the advent of computers that made practical operations possible and allowed data analysis to be promoted. Data analysis is the product of the combination of mathematics and computer science.
Data analysis methodThe trend now is that we have entered the era of big data. After we have the data, should we analyze it? From which aspects do you conduct data analysis? What content and indicators are included in all aspects? How to analyze data from a macro perspective? What are the data analysis methods? Let's talk about practical data analysis methods to help you sort out the data analysis ideas.
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Method / stepFirst, PEST analysis
The PEST analysis method is used for the analysis of the macro environment. The macro environment is also called the general environment, and refers to various macro forces that affect all industries and enterprises. Because different industries and enterprises have their own characteristics and business needs, the specific content of the analysis will also be different, but generally the four major categories of politics, economy, technology and society should be analyzed to influence the main external environmental factors of the enterprise.
An example of analyzing the Chinese Internet industry with PEST:
Second, 5W2H analysis method:
5W2H asks questions with five words beginning with W and two words beginning with H, and finds clues to solve the problem from the answer. That is as shown:
This method is simple, convenient, easy to understand and use, and is instructive. It is widely used in corporate marketing, management activities, and is also very helpful for decision-making and executive activities. For other things, you can think about these seven aspects.
for example:
Third, the logic tree analysis method:
Logical trees, also known as problem trees, deductive trees or decomposition trees, are also the most commonly used methods in analytical methods. The role of logical trees is mainly to help you sort out your own ideas, avoid duplication and irrelevant thinking, and ensure problem-solving. Process integrity, which breaks down work into tasks that are easy to operate, prioritizes parts, and clarifies responsibility to individuals.
The use of logical trees requires three principles:
Elementalization: Summarize the same problem into elements.
Frameworking: Organize the various elements into a framework and follow the principle of not being overwhelmed.
Relevance: The elements within the framework maintain the necessary interrelationships, simple but not isolated.
example:
6 4, 4P marketing theory:
4P marketing mainly includes: product, price, place, promotion (promoTIon)
example:
7 is a few common and very practical methods, there are many that you need to use in the actual work, the more skilled you use, the more accurate the effect of data analysis.
Precautions
Practice makes perfect: data analysis should be used to master, and can not be used.
Different data analysis methods have applicable conditions, otherwise the results of the analysis will be inaccurate.
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