Techniques for data generation

A non-transitory computer-readable storage medium having stored thereon executable instructions that cause one or more computer systems to collectively generate data, the instructions including instructions that cause the one or more computer systems to at least:

• store original data used in connection with one or more applications related to the organization;
• define a schema representing the original data, the schema optimized for analysis of the original data in order to determine one or more activities in connection with policy violation related to the organization;
• analyze the original data in accordance with the defined schema to determine one or more distribution characteristics for the original data;
• generate data values that are distributed according to the determined one or more distribution characteristics of the original data;
• determine a distribution of the generated data based at least in part on semantic properties in the distribution characteristics of the original data;
• and
• provide the generated data values for use in one or more other applications.

A computer system for generating data, comprising:

• one or more processors;
• and
• memory including executable instructions that, when executed by the one or more processors, cause the one or more processors to collectively at least:
• store original data used in connection with one or more applications related to an organization;
• define a schema representing the original data, the schema optimized for analysis of the original data in order to determine one or more activities in connection with policy violation related to the organization;
• determine, based at least in part on the original data and the defined schema, one or more distribution characteristics for the original data;
• generate data values that are distributed according to the determined one or more distribution characteristics of the original data;
• determine a distribution of the generated data based at least in part on semantic properties in the distribution characteristics of the original data;
• and
• store the generated data values in a data store for use in one or more other applications.