Abstract: A system for assisting a user compute aggregated data arising from multiple sources is programmed and operable to generate a collection of base objects by fetching base objects from the base object databases based on the classification type of the initial request; filter the collection of base objects into a filtered set of base objects by applying at least one attribute filter if present in the initial request; prepare the filtered set of base objects into a processed query for submitting to the raw data database holding the raw data; submit the processed query to the raw data database for aggregation and to obtain an aggregated result set from the raw data database; map, using a transformation matrix, each attributable ID in the aggregated result set to the corresponding attribute value; and return the updated aggregated result set to the input computing device. Related computer-implemented methods are also described.

Abstract: A system for assisting a user compute aggregated data arising from multiple sources is programmed and operable to generate a collection of base objects by fetching base objects from the base object databases based on the classification type of the initial request; filter the collection of base objects into a filtered set of base objects by applying at least one attribute filter if present in the initial request; prepare the filtered set of base objects into a processed query for submitting to the raw data database holding the raw data; submit the processed query to the raw data database for aggregation and to obtain an aggregated result set from the raw data database; map, using a transformation matrix, each attributable ID in the aggregated result set to the corresponding attribute value; and return the updated aggregated result set to the input computing device. Related computer-implemented methods are also described.