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I’m starting to take the first steps in machine-learning
and would like to apply a prospecting analysis to each client according to their scheduling service.
I have a client portfolio that has one or more active products. Each period - approximately 6 months - the portfolio needs to be maintained.
The company has a proactive service for scheduling the service. The customer can choose to schedule the service or go directly to technical assistance.
The objective of the study is identificar
which clients have greater prospect for such scheduling.
Example:
Consider a customer X
with 2 products - Prod_a and Prod_b - and which required 4 maintenance in the year - Prod_a-Man_01, Prod_a-Man_02, Prod_b-Man_01 and Prod_b-Man_02.
However, I have doubts in the preparation of the data. The doubts are as follows:
- What should be my variable
target
?
The target variable "Scheduled: Yes/No" for each customer maintenance or should consider the client only 1 time and work with the target variable "% Scheduling" counting how many times the client scheduled the total of 4 maintenance that he had to perform.
- What models are indicated for this type of analysis?
It is always important to have the business problem well defined before you start. There is no 'right and wrong', there is what you want as the end result. Without knowing your data it is difficult to propose something because I do not know the other variables and do not know which ones are important, without your data set it is also difficult to tell which machine model Learning will adapt best to the proposed problem. If your business rule is X you can group, if it is Y you can consider the customer only once. It all depends on your business problem and business rule. Hug!
– lmonferrari