The previous "Know these 7 things before data analysis, spend 80% less time" talks about what you need to know before data analysis. When Whatsapp Database entering the data analysis stage, the author summarizes and organizes some easy-to-use and easy-to-use analysis Whatsapp Database methods, so that you can do more with less . Below, Enjoy~ 1. Pyramid Model of Data Analysis Easy-to-use data analysis methods for product managers Data analysis can be roughly divided into five levels in terms of difficulty, covering the process of data sorting, statistics, and machine learning.
The decision-making link after data analysis is not within the scope of this discussion. The five levels include: quantifying the current situation, Whatsapp Database quantifying the correlation between variables, quantifying the causal relationship between variables, predicting Whatsapp Database the future and finding the best solution. Q1: What is the trend of the number of visits to new customers by SaaS salespeople? For example, at level 1, the problem that needs to be solved is to quantify the current situation.
You can use "narrative statistics", "data visualization" and other Whatsapp Database methods to express the data through charts, and observe the number, frequency, fluctuation, distribution, etc. of the charts. This level is mainly realized by relying on the Whatsapp Database observation after visualization. For example, exploring the correlation and causal relationship of data in levels 2 and 3 requires data observation and then a secondary inference, which belongs to data mining.