Help me understand if my approach is correct please!

Hi all, I'm an junior data analyst. I'm currently learning all sorts of stats and techniques on my way to improving my skills.

Currently I'm investigating a dataset full of invoices and there are a few questions I'm trying to answer.

For example how many orders are on time/late based on xyz checks which I've coded. I've also found cost discrepancies between what was actually done and what was invoiced.

One task I've been assigned is to see what teams are ordering what services and I wanted to approach it with potentially a more nuanced approach. I have recently been learning the theory and application of Association rules to do the following :

I would like to know if I could split all the orders by teams and then code an association rule algorithm which would mean my results are specific to teams. E.g X team order y item and with y item z was also often ordered.

Outside of that is there any other kind of "fun" statistically backed learning I could do from invoices?

Thanks for any advice!