Synthetic Data Generation

An apparatus for synthetic data generation, the apparatus comprising at least one processor and at least one memory including program code, the at least one memory and the program code configured to, with the at least one processor, cause the apparatus to at least:

• receive a request for synthetic data generation, the request for synthetic data generation comprising one or more configuration data parameters;
• determine a match level between the one or more configuration data parameters and one or more base datasets;
• select a processing model from amongst a plurality of processing models based upon the determined match level, wherein selection of the processing model based on the determined match level comprises selecting a machine learning generation model in an instance in which the match level satisfies a predefined threshold and selecting a rules-based generation model in an instance in which the match level does not satisfy the predefined threshold;
• generate one or more synthetic datasets comprising one or more synthetic data values via the selected processing model;
• and
• provide, to a user via a user interface, the one or more generated synthetic datasets.

A computer program product for synthetic data generation, the computer program product comprising at least one non-transitory computer-readable storage medium having computer-readable program code portions stored therein that, when executed, cause an apparatus to:

• receive a request for synthetic data generation, the request for synthetic data generation comprising one or more configuration data parameters;
• determine a match level between the one or more configuration data parameters and one or more base datasets;
• select a processing model from amongst a plurality of processing models based upon the determined match level, wherein selection of the processing model based on the determined match level comprises selecting a machine learning generation model in an instance in which the match level satisfies a predefined threshold and selecting a rules-based generation model in an instance in which the match level does not satisfy the predefined threshold;
• generate one or more synthetic datasets comprising one or more synthetic data values via the selected processing model;
• and
• provide, to a user via a user interface, the one or more generated synthetic datasets.