Synthetic Data

Synthetic data offers an important alternative when real data cannot be used or is insufficient. The goal is to generate artificial data that preserves the statistical and structural properties of the real data to a reasonable degree. This creates major value in privacy-sensitive settings, rare scenario generation, test environment creation, and robustness improvement. However, the representational strength of synthetic data must be evaluated carefully. Not every dataset that looks realistic actually reflects the real world well enough.