We are in the middle of the digital revolution and data-driven solutions (e.g. dashboards [BI] and advanced analytics [AI & ML]) are about to change our entire world. However, those data-driven solutions are only as good as the data that they can utilize. This is challenging due to strict data / privacy regulations.
Hence, having a strong data foundation with easy and fast access to usable, high quality data is essential to develop data-driven solutions (e.g. dashboards [BI] and advanced analytics [AI & ML]). However, many organizations are affected by a sub-optimal data foundation where data cannot simply be used and shared.
Our Syntho Engine software mimics (sensitive) data by utilizing the power of AI to generate a synthetic data twin of the original data. We apply AI to model the synthetic data in such a way that we preserve those statistical patterns, relations and characteristics to such an extent that it can even be used for analytics. As with the maximized data accuracy of the generated synthetic data by Syntho, one can use the synthetic data even for developing analytics solutions (e.g. dashboards [BI] and advanced analytics [AI & ML]).
Use synthetic data in the development process of analytics solutions
In the development process of analytics solutions, one can use synthetic data with our platform. This synthetic data can be used via ad-hod data synthetization. As alternative, as we support various out-of-the-box connectors, we can also establish and load the generated synthetic data in a synthetic data warehouse or sandbox infrastructure with synthetic data.
Part 1
Syntho provides a quality report for every generated synthetic dataset to demonstrate the accuracy of the generated synthetic data compared to the original data. This quality report contains many metrices, such as the distributions, correlations, multivariate distributions, privacy metrices and many more.
Part 2
Next to our own QA report, Syntho’s synthetic data is assessed by the data experts of SAS. The SAS data experts assessed and approved our synthetic data from an external point for the use of analytics.