Morning all,
Great site guys. I've used this a lot for previous work but only posted now as the following has baffled me.
I am a competent excel user but am starting out in VBA and am comfy manipulating within code but I have no formal training (yet).
I am tasked with the following and I am hoping you guys can point me in the right direction to the sort of code or functions that I can use (below is a sample of the data being used):
Task and problem
In short my data is sales data and each sale is listed individually (sometimes multiple sales under 1 company), but all sales go through a 6 step process before completion. I need to produce intelligence to show where the lags are in the process and the causes (as the length of time to complete sales has increased rapidly this year). (For example, if stage 1 should take 5 days yet there are 2000 sales that are above the 5 days average, then I need to identify it and figure out if there are reasons why (over time)).
Examples of intelligence needed could include:
- Sales progression (identifying the average journey times of each sales stage)
- Looking at each sales stage against location (i.e. are certain offices less efficient at processing certain stages)
- Are certain sales owners less efficient than others etc..
- What are the trends in the above over time (i.e. is it consistency on a daily/weekly basis or are they blips)
Effectively, I would like the user to be able to choose their reports and show results without altering the core dataset.
I know this is a big ask but any advice or help on the functions I should look into would be greatly appreciated.
Many thanks
Location Office Sale Stage Volume Engine Adapted
London Sunderland Stage 1 2 N
Newcastle Peterbrough Stage 3 1 N
Liverpool Glasgow Stage 1 4 Y
Great site guys. I've used this a lot for previous work but only posted now as the following has baffled me.
I am a competent excel user but am starting out in VBA and am comfy manipulating within code but I have no formal training (yet).
I am tasked with the following and I am hoping you guys can point me in the right direction to the sort of code or functions that I can use (below is a sample of the data being used):
Task and problem
In short my data is sales data and each sale is listed individually (sometimes multiple sales under 1 company), but all sales go through a 6 step process before completion. I need to produce intelligence to show where the lags are in the process and the causes (as the length of time to complete sales has increased rapidly this year). (For example, if stage 1 should take 5 days yet there are 2000 sales that are above the 5 days average, then I need to identify it and figure out if there are reasons why (over time)).
Examples of intelligence needed could include:
- Sales progression (identifying the average journey times of each sales stage)
- Looking at each sales stage against location (i.e. are certain offices less efficient at processing certain stages)
- Are certain sales owners less efficient than others etc..
- What are the trends in the above over time (i.e. is it consistency on a daily/weekly basis or are they blips)
Effectively, I would like the user to be able to choose their reports and show results without altering the core dataset.
I know this is a big ask but any advice or help on the functions I should look into would be greatly appreciated.
Many thanks
Location Office Sale Stage Volume Engine Adapted
London Sunderland Stage 1 2 N
Newcastle Peterbrough Stage 3 1 N
Liverpool Glasgow Stage 1 4 Y