Abstract: A system and method for text interpretation and normalization is presented. The method for text interpretation and normalization may include receiving a reference data entry that includes one or more strings of text and one or more associated numeric codes, creating a plurality of tokens from the one or more strings of text, each token being tied to an associated numeric code, formatting the plurality tokens with operations codes (opcodes) that provides additional information about the tokens, retrieving configuration data including the plurality of tokens, the opcodes, and numeric codes associated with the tokens, selecting one inbound, non-reference string for interpretation, comparing tokens from the configuration data to the non-reference string to determine the best matching token, and applying, using the processor, the numeric code associated with the best matching token to the non-reference string in order to normalize the non-reference string.

Abstract: Systems and methods for data aggregation, targeting and acquisition are described. A method may receive data and storing the data in one or more source data tables and select one of the one or more source data tables. The selected source data table includes updated data fields. The method may also identify a plurality of destination data tables that need to be updated, in which each destination data table is linked to and contains an aggregation of a subset of data from the selected source data table, identify one or more data fields in the identified destination data tables that need to be updated with data from the updated data fields in the selected source data table, and determine using the processor, for each identified destination data table, a best aggregation source data table.

Abstract: A system and method for text interpretation and normalization is presented. The method for text interpretation and normalization may include receiving a reference data entry that includes one or more strings of text and one or more associated numeric codes, creating a plurality of tokens from the one or more strings of text, each token being tied to an associated numeric code, formatting the plurality tokens with operations codes (opcodes) that provides additional information about the tokens, retrieving configuration data including the plurality of tokens, the opcodes, and numeric codes associated with the tokens, selecting one inbound, non-reference string for interpretation, comparing tokens from the configuration data to the non-reference string to determine the best matching token, and applying, using the processor, the numeric code associated with the best matching token to the non-reference string in order to normalize the non-reference string.

Abstract: Systems and methods for data aggregation, targeting and acquisition are described. A method may receive data and storing the data in one or more source data tables and select one of the one or more source data tables. The selected source data table includes updated data fields. The method may also identify a plurality of destination data tables that need to be updated, in which each destination data table is linked to and contains an aggregation of a subset of data from the selected source data table, identify one or more data fields in the identified destination data tables that need to be updated with data from the updated data fields in the selected source data table, and determine using the processor, for each identified destination data table, a best aggregation source data table.