SYSTEMS AND METHODS FOR GENERATING SYNTHETIC DATA

The present disclosure is directed to systems and methods for generating synthetic data. Entities maintain large amounts of data, and conducting probability distribution and/or correlation analyses on these large datasets while maintaining data privacy for personally identifiable information (PII) is difficult. The present application describes methods for identifying data fields that comprise PII and synthesizing the data so that the PII is removed, but the integrity of the probability distribution and/or correlation metrics remains. Certain data is grouped into data fields based on a data table type, and each data type may be assigned a certain data analysis strategy, which may comprise a joint probability distribution, a characterbase data faker, a genetic regex generator, and/or a timeseries model. A table sketch may be generated that may comprise at least one synthesizer recipe to be used in future data queries.