Synthetic data

Synthetic data is artificial information created with algorithms, simulations, or similar methods to resemble real-world data. Organizations use it to test systems, train machine learning models, and run research without exposing sensitive or confidential information. This helps protect privacy and maintain data integrity.

Example

In finance, synthetic data can help a credit scoring company build and test new predictive models without using real customer data. By generating a dataset with similar statistical properties and patterns, the company can train and validate its models while protecting individual privacy and meeting data protection requirements. Synthetic data is a practical way to use data-driven insights without putting personal information at risk.