Virtually every organization performs statistical analysis on data pertaining to its customers, suppliers, employees, patients and other critical operational data. Internally, this analysis often takes place within a data warehouse and is used by executives to make strategic business decisions. For those organizations releasing sensitive data to third party organizations/agencies for use in public health (tracking epidemics), public policy (determining priorities for an aging population) or for commercial reasons (demographic data impacting insurance premiums) - this data is at risk of being non-compliant to regulators if it is not protected. In most cases this data is unique to the organization and often contains sensitive information uniquely identifying individuals. Traditional approaches either significantly degrade the analytical value of the de-identified data to achieve maximum security or preserve the analytical values through significant manual effort, ultimately costing you valuable time and resources.
The Camouflage Secure Analytics Module™ features Secure Analytics® patented technology integrated with the Camouflage Data Masking platform to provide the highest possible level of security while preserving the rich data patterns contained in the original data. Developed by leaders in the data privacy field and backed by over a decade of research, this sophisticated data shuffling technique brings data masking to the next level. This Advanced Data Shuffling technique works by intelligently shuffling the data values for each row of data within the data set in such a way that aggregate statistical measures is maintained.
