Hi
can someone assist in building a robust data analytics logic to monitor and highlight the defaulters?
We have a dataset containing employee names, hours of completed training, and pro rated or year end training hours.
The pro rated hours represent the desired annual training target defaulted to 25 hours.
However if an employee joins midway the target is pro-rated accordingly.
The objective is to develop a logic to identify defaulters on quarterly basis,
Q1: 25% of pro rated should be completed
Q2: the other 25%
Q3: 25%
Q4:25 %
I need to segregate the workflow quarter wise ensuring that only the results or each specific quarter are highlighted during analysis.
If someone can help me , it would be highly appreciated and Thank you in advance.