Interesting but hardly novel. In certain fields, ‘end users’ have routinely employed probabilistic tools via Excel or other spreadsheets for decades. Wider adoption has been limited due to the knowledge base that is required to either (a) confidently build such models, (b) communicate probabilistic results to stakeholders.

@Risk and CrystalBall were some of the earlier Excel add-ins which simplified simulation-based spreadsheet development.

As someone else mentioned, the Excel/Python combination is really powerful, although lower-level. DataNitro comes to mind, as well as a product by Resolver Systems (?) which was essentially an IronPython powered spreadsheet interface.