historically used for processes which make use of time-series / simulations & modeling / forcasting. aka weather forcasting, related points in [0]

2) a) Testing with actual 'sensitive' data may not be possible for security reasons (aka payroll information, stock market price influences)[1]. b) insufficent/incomplete information. aka figure out how well what's known matches 'reality' and/or may suggest areas to look for 'missing' pieces in model.

-----

[0] : https://www.oreilly.com/library/view/practical-time-series/9...

[1] : https://www.k2view.com/what-is-synthetic-data-generation/

and she has an upcoming oreilly book on TS analysis. Preorder now! (no AF, just a fan of her) https://www.amazon.com/Practical-Time-Analysis-Prediction-St...