Generative AI (genAI) is enhancing synthetic data generation, making it more flexible and effective for complex data scenarios. GenAI approaches that leverage generative adversarial networks (GANs) and variational autoencoders (VAEs) can produce synthetic data that captures real-world patterns and scales efficiently, improving analytics accuracy and speed. This report helps customer experience (CX) and insights professionals understand how to leverage synthetic data for privacy-safe analytics, balancing datasets, improving models, and accelerating data access, which will enhance CX and decision-making.