Synthetic data for Data Management Applications

Synthetic data generation algorithms encodes the statistical and structural properties of the real world data domain and efficiently generate test data that closely matches real data with out risk of leaking any personal or confidential data into the generated test data set. This article is focuses on use cases of synthetic data relevant to data management (Master Data Management and Data Quality Applications) than synthetic data generation for ML or other statistical models.