One challenge with big data and other secondary analytics initiatives is getting access to large and diverse data. Secondary analytics allow insights beyond the questions that data initially collected can answer. This practical book introduces techniques for generating synthetic data—fake data generated from real data—that can provide secondary analytics to help you understand customer behaviors, develop new products, or generate new revenue.