Data Subsetting and Masking Solutions Overview

This document is a technical report that outlines the processes of data subsetting and data masking, emphasizing their importance in managing sensitive information within various industries, particularly finance and healthcare. It describes data subsetting as the selection of a representative subset from a larger dataset, which aids in reducing storage costs and enhancing testing efficiency. Data masking is presented as a method to disguise sensitive data while maintaining its usability, ensuring compliance with regulations such as GDPR and CCPA. The report details the GenRocket solution, which integrates both data subsetting and masking, allowing for efficient querying and extraction of relevant data subsets while preserving referential integrity. It highlights the capabilities of GenRocket's platform, including intelligent data subsetting, synthetic data augmentation, and high-speed data delivery. Additionally, practical use cases in financial services and healthcare demonstrate the application of these techniques to ensure data privacy and enhance testing scenarios.