System and method for optimizing aggregation and analysis of data across multiple data sources

A method for optimizing aggregation and analysis of data across multiple data sources of multiple enterprises, the method comprising:

• generating a first set of data extraction rules by invoking an automatic rule generation rule, wherein the automatic rule generation rule is invoked in the event a predefined set of rules is determined to be not applicable for extracting data associated with the multiple data sources;
• generating a second set of data adaptation rules in the event data extracted by applying at least one of:
• the first set of data extraction rules and the predefined set of rules does not correspond to a predetermined output, wherein the set of data adaptation rules specifies a particular way of adapting one or more rules from the first of data extraction rules and/or one or more rules of the predefined set of rules;
• encapsulating the second set of data adaptation rules in a feedback loop for transmission;
• generating a set of data optimization rules based on the first set of data extraction rules and the second set of data adaptation rules, wherein the set of data optimization rules is generated by associating each data extraction rule from the set of data extraction rule and the predefined set of rules with a corresponding data adaptation rule;
• and
• generating one or more metrics based on the set of data optimization rules, wherein the one or more metrics specify characteristics relevant to one or more enterprises.

A computer program product comprising:

• a non-transitory computer-readable medium having computer-readable program code stored thereon, the computer-readable program code comprising instructions that, when executed by a processor, causes the processor to:
• generate a first set of data extraction rules by invoking an automatic rule generation rule, wherein the automatic rule generation rule is invoked in the event a predefined set of rules is determined to be not applicable for extracting data associated with the multiple data sources;
• generate a second set of data adaptation rules in the event data extracted by applying at least one of:
• the first set of data extraction rules and the predefined set of rules does not correspond to a predetermined output, wherein the set of data adaptation rules specifies a particular way of adapting one or more rules from the first set of data extraction rules and/or one or more rules of the predefined set of rules, and encapsulate the second set of data adaptation rules in a feedback loop for transmitting to the data acquisition unit;
• and
• generate a set of data optimization rules based on the first set of data extraction rules and the second set of data adaptation rules, wherein the set of data optimization rules is generated by associating each data extraction rule from the first set of data extraction rules and the predefined set of rules with a corresponding data adaptation rule, and generate one or more metrics based on the set of data optimization rules, wherein the one or more metrics specify characteristics relevant to one or more enterprises.