Why use real (sensitive) data when you can use synthetic data?
Our clients realize data-driven innovation via various synthetic data use cases. Explore here the most valuable ones for you!
Synthetic Data Use Cases
Eliminate time-consuming governance blocking internal data access and innovation
Share synthetic data as alternative for sharing original data to eliminate data-sharing challenges
Overcome legal retention periods and preserve data to spot valuable patterns, trends and relationships over time
Minimize production data and unrepresentative data in your test environments
Responsibly monetize your data assets (by 2022, 35% of companies will be data buyers or sellers)
Intelligent data augmentation to reduce data-biases, extend datasets and/or balance datasets