A principal challenge with many data augmentation tools and platforms is that they sacrifice data utility in the name of privacy. With Synthesized, our platform works differently. We make sure data privacy and data utility are no longer mortal enemies.
In this report we assess the data quality of the synthetic data against the original credit data set the data was generated from. We look at both univariate and interaction metrics to understand how these metrics differ amongst the data sets along with better understanding the practical applications of Synthesized data.
Learn more about the data utility of Synthesized data and its practical implications. Complete the form and download your copy of the report!