Blend, cleanse and prepare data for analytics, reporting or data modernization efforts
A checklist for assessing your synthetic data
Synthetic data has become a valuable resource in data science and machine learning. Superior quality, reliable synthetic data facilitates analysis and iteration at scale while mitigating privacy concerns associated with real data and can fill gaps where real data is scarce. Note, however, that “good” synthetic data is not defined
