Diagnosing business problems is a basic requirement for data analysts in many enterprises, and it is also one of the three basic methods for data analysis to drive business. In the data analysis method, the diagnosis of business problems is a typical example of "seeing it at first sight, but doing it wrong". Many students are very distressed: "Why does the business side not recognize the problem analysis I did?" Today, I will answer it systematically. 1. Common practice There are standard procedures for business diagnosis: Step 1: Establish monitoring metrics Step.
Establish Judgment Criteria Step 3: Find anomalies Step 4: Segment the source of the problem Step 5: Suggest a diagnosis To give a simple mobile number list example: a company has 4 sales business lines, and the goal is to sell 100 million yuan per month, but it actually reaches 95 million, which is not up to the standard. The four lines are shown in the figure below. It can be easily seen that there is a problem with channel A (as shown in the figure below).
If the sales are online sales, you can further see the conversion process, so as to diagnose which link is the problem (as shown below). Therefore, the common diagnostic suggestion is: "It is found that there is a problem with the A business line, and the conversion rate of the launch is too low. It is recommended to increase it". This is the usual practice. The problem is, quite a lot of classmates will get a comment: "What you said is nonsense!" I feel so wronged. But where is the problem.