Abstract: A robust predictive model. A plurality of different predictive models for a target feature are run, and a comparative analysis provided for each predictive model that meet minimum performance criteria for the target feature. One of the predictive models is selected, either manually or automatically, based on predefined criteria. For semi-automatic selection, a static or dynamic survey is generated for obtaining user preferences for parameters associated with the target feature. The survey results will be used to generate a model that illustrates parameter trade-offs, which will be used to finalize the optimal predictive model for the user.

Abstract: Embodiments are described for a system and method of controlling access to information in an organization by defining a hierarchical organizational structure of boxes, and security configuration comprising user records, security roles, rules to map users to boxes, and rules to grant roles to users via mapped boxes. Access control is applied in the context of a defined organizational structure using the effective set of access control policies computed in real time per each data access request from any given user.

Abstract: Embodiments are described for a system and method of controlling access to information in an organization by defining a hierarchical organizational structure of boxes, and security configuration comprising user records, security roles, rules to map users to boxes, and rules to grant roles to users via mapped boxes. Access control is applied in the context of a defined organizational structure using the effective set of access control policies computed in real time per each data access request from any given user.