My team often does the reverse of this. We need something built and it goes into project planning for the next year (we plan out bigger features a year out, with flexibility to squeeze in smaller features every month). Sometimes those features get punted out from the next year.
So we end up building the feature in Excel. With large (for Excel, say 100K-500K rows) data sets, it gets pretty slow. Or it'll get too complex, so we'll put it into our own Postgres DB.
Eventually, it'll get big/complex enough that we prioritize using development resources to automate the feature.
To an extent, this has become a standard part of our rigor for deciding whether or not to build features. You say you need X, but you aren't doing X today. Can't do you do that with an SQL pull and then doing all the business logic in Excel, and then creating the entries by hand? In some cases, the answer is no, we need it to be part of a larger pipeline, etc., but for a lot of things we do, building it by hand proves that the feature is needed, and also helps us work through the edge cases and makes writing the stories/BRD much easier. It also takes pressure off the dev team to try and intuit the true requirements.