How to do data analysis to help operations?

Students who do data analysis most often serve operations, and are most afraid of operational entanglement. Because the work of its own operation is highly related to data analysis, six out of ten articles on data analysis that you see on the Internet are written by operations. Operations are so deeply involved in data analysis that they often argue with data analysts on analysis ideas, analysis methods, and analysis conclusions.

Today we will look at the biggest of them first. There are many types of jobs in operation (as shown in the figure below), among which activity mobile number list operation is the most strategic, most closely related to data analysis, and the most stubborn position. I will use it as an example today.

For a game APP, the user activity rate declined slightly in May. The activity operation team decided to do a check-in and punch-in activity to increase user activity (the specific increase is not mentioned). The current data before and after the activity are shown in the figure below.

The activity operation team Insist: If it were not for activity, the natural growth in May would have fallen. The boss thought it was bullshit. The event operation team stated that data analysts should use artificial intelligence big data to accurately analyze the natural growth rate.