A component of the Multiplatform Data Acquisition, Collection, and Analytics (MDACA) suite of applications, the Synthetic Data Engine (SDE) creates structurally and statistically similar synthetic data from sensitive, real datasets. MDACA SDE is designed to provide strong privacy guarantees while minimizing the complexities associated with understanding the processes for generating synthetic data in support of software development and testing, Machine Learning (ML) algorithms and modeling, and other initiatives while safeguarding corresponding real data.
The MDACA Synthetic Data Engine supports software development to accelerate product release and time to market, utilizes a cost-effective storage approach, and bolsters modeling for machine learning while preserving confidentiality of the corresponding real data. The MDACA SDE was designed to seamlessly access and create meaningful, intelligent synthetic data without compromising the corresponding sensitive, real data. The MDACA Synthetic Data Engine protects PII and PHI data and provides meaningful data in support of AI/ML model development and application testing, minimizing data duplication and meeting business needs.