In today's data-driven world, ensuring privacy is more critical than ever. Join us for an insightful session that begins with an overview of key data privacy laws and requirements. We'll explore the challenges of re-identification - even in aggregated data - and dive into three different privacy-preserving methodologies: data suppression, differential privacy (adding noise into results), and synthetic data generation. You'll learn about tools and techniques available for each method and gain insight into their strengths and weaknesses.