The question is: how can we (Lago) make it much easier (if you think it's not the case today) than working with the data from Sigma and from data pipeline exports?
I don’t think you can, which is why I criticized this blogpost for failing to demonstrate a compelling answer, and instead relying on misleading arguments based on invalid pricing assumptions.
If you think it’s easier to calculate MRR with Lago than with data derived from Sigma or the reporting data exports, I suggest showing how it’s done in each case and explaining why Lago’s schema makes it easier.
Arguing that it’s harder on Stripe because if you’re DoorDash you would have to pay a lot of money for Sigma is not honest.
I'll reach out in DM re: invalid pricing assumptions (genuinely wand to gather feedback and iterate).
Re: "how it's done with Lago" : I assume you've seen the SQL queries we shared as examples... but you still don't think it makes the point, what would have? https://github.com/getlago/lago/wiki/Stripe-Data-vs-Open%E2%...
Disclaimer: the example (for the sake of the article) is relatively simple, as it's our first article on this topic, but we're willing to go much deeper, so feedback/inputs are welcome.
