Reasons for data analysis of training institutions: As far as enrollment of training institutions is concerned, there are many media for enrollment, such as leaflets, push, word-of-mouth recommendation, advertising promotion, etc. But specifically, you have the largest number of enrollment media customers, which enrollment method has the lowest customer acquisition cost and which enrollment method has the highest conversion rate.
The students registered in our institution all live in those campuses and attend classes in those public schools. You can't make decisions based on these data, because without data support, there is no basis, so you can't do the enrollment work better and adjust the points you need to optimize during the enrollment process.
Large training institutions will do data analysis, because through the analyzed data, we can know how to adjust my next development. For example, after this enrollment, your organization found the largest number of customers through short videos on the Internet, and the conversion rate was quite high. So next time you enroll students, can you divide more market funds on it?
Can your students grow up better? For example, your organization has a lot of water a year, but it is not profitable. On the other hand, you just don't know where the money is spent, and you shouldn't spend it if you can't find it.
So at this time, you want to do data analysis, compare the data according to the month and quarter, and do the corresponding cost control. And the budget of various expenses for next month, to reduce unnecessary expenses/do things with data.