Computer-implemented systems and methods of analyzing spatial, temporal and contextual elements of data for predictive decision-making

A computer-implemented method for predictive decision-making, comprising:

• retrieving stored data comprising spatial, temporal and contextual elements;
• identifying data from the retrieved data that is a candidate for one or more rules of a set of rules;
• disregarding data from the retrieved data that is not a candidate for any rule of the set of rules;
• and
• indexing the identified data in memory by its temporal, spatial or contextual elements as a function of the one or more rules.

A system for predictive decision-making, comprising:

• a rules manager configured to receive a respective set of rules for a user and to define one or more distributed data structures in memory for placing spatial, temporal or contextual elements of data that is determined to be a candidate for rules of the set of rules;
• one or more data modules configured to receive data comprising spatial, temporal and contextual elements from a plurality of sources;
• and
• a rules/decision engine module configured to identify each rule of the set of rules for which the received data is a candidate and to index the received data by its spatial, temporal and contextual elements in the one or more distributed data structures.