Traditionally the business is the source of spreadsheets (data comes from the biz side of the equation). The data analyst then has to make sense of the data.
So to convince a BA to input their data on Neptyne because the DA might need to python script it at some point is maybe premature optimization.
That's an uphill battle... But I definitely see it a good case for me personally as someone who both originates data (nothing fancy) and needs to process it further...
(co-founder of Neptyne) - It's definitely not the easiest market to break in, I am sure you are right there. The Python side of things does allow for easy import of data from anywhere though - you can just go:
A1 = requests.get(SOME_URL).json()
to make a REST API call for example. Right now that's often done by running some script that produces a .csv that then gets emailed around and imported into a spreadsheet.
So to convince a BA to input their data on Neptyne because the DA might need to python script it at some point is maybe premature optimization.
That's an uphill battle... But I definitely see it a good case for me personally as someone who both originates data (nothing fancy) and needs to process it further...
Will definitely check it out!