Data analysis methods are generally divided into which three

1, funnel analysis

Funnel analysis refers to the data analysis to find the problematic business links, and optimize them.

Funnel analysis of two major roles: First, funnel analysis can monitor the changes in the various business stages of the user, traffic, timely analysis of the low conversion rate of the link, to find the key to the loss, and constantly optimize. Second, funnel analysis can be differentiated according to different groups of people and channels, such as new channels and new customers, and analyze the best and worst, which can improve the accuracy and efficiency of the operation.

2, SWOT analysis

SWOT refers to the resource advantages, competitive disadvantages, opportunities and threats brought about by changes in the external environment, respectively, through the measurement of these indicators can help you determine the business strategy. First, S + O: the use of "opportunities" to give full play to "advantages" and consolidate the advantages. Second, W + O: eliminate "disadvantages" to take advantage of "opportunities"? Or seize the opportunity to make up for the disadvantage. Third, S + T: to overcome the threat, maximize the avoidance of mitigation. Fourth, W + T: do differentiation, not head-to-head.

3, comparative analysis

Contrastive analysis method that compares the data, analyze the difference, you can intuitively see the changes or gaps in a certain area, and can accurately quantify these changes or gaps. Comparative analysis can be based on both time to compare, but also based on classification, such as departments, regions, categories, etc. to compare. In our work, we will use the comparative analysis method more, for example, such as the previous year's sales comparison, target and actual comparison. We should pay attention to the process of comparison to find similar comparison object. For example, the population of Foshan is not comparable to the population of Shanghai, which is meaningless.