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Synthetic data generated through Statice consists of entirely artificial and new data points and is guaranteed anonymous while resembling the statistical properties and structure of the original dataset. It possesses the following attributes:
You can use the synthetic data for any statistical analysis that you would like to use the original data for. In essence, the idea of synthetic data is to be used just like real data - with the only exception of not providing sensitive information on real individuals.
Yes, according to Data Protection offices in Germany, synthetic data with a privacy guarantee (such as provided by us) is seen as anonymous data and thus falls outside of the scope of the GDPR.
Yes, we can. At the core of our software, we make sure to fulfill a mathematical privacy guarantee, which is called Differential Privacy.
This depends heavily on the types and volumes of data being synthesized, and the degree of privacy required, and ranges from extremely well (large data set, tabular or relational data) to not well (small data set, high dimensional). We have shown to capture even hidden features in highly complex and high-dimensional data in the past.
This is part of our modelling. Our algorithm should capture even "hidden" correlation, i.e. relationships not directly visible from a first exploratory analysis.
Our solution is usually provided as an on-premise SDK or as a standalone on-premise application.
Yes, our software is designed to be used on-premise and thus allows you to process your data locally without it to ever have to leave your infrastructure.