4-Xtra Synthetic Data Generation
Produces unlimited fully artificial data sets which inherit the statistical features of the original input dataset.
Solution Category
Individual Solution Integrations
Implementation
Cloud Hosted
Website
About this app
- Do you have data confidentiality issues when building risk and forecasting models?
- Do you face any data privacy issues preventing the use of genuine data?
- Are you using or plan to use any synthetic data generation tools to protect identity/client confidentiality?
- Do you use machine learning-based applications in your enterprise?
- Do you have enough data to feed/train these applications?
- Are you facing a data scarcity problem, e.g. while assessing the creditworthiness of an applicant?
The 4-Xtra SDG Engine, based on a user-provided data sample, builds a synthetic data generation (SDG) model that can produce unlimited fully artificial, privacy preserving synthetic data samples that inherit all the necessary statistical features of the original input dataset. Upon a completed training of the 4-Xtra SDG model, the user can interact with the 4-Xtra SDG model to effortlessly on-the-fly generate synthetic samples of the required size.
