Evaluating public records of supply transactions

A method, comprising:

• using a computer implemented facility to collect and store a plurality of public records of transactions, the public records of transactions corresponding to a plurality of transactions between a plurality of buyers and a plurality of suppliers;
• determining an inferred entity identifier for each of the plurality of public records of transactions;
• identifying similarities of data in the public records of transactions associated with each of the inferred entity identifiers;
• generating groups of inferred entity identifiers based on the identified similarities;
• using a first merge technique to filter the public records of transactions within each group of inferred entity identifiers with a computer searching algorithm to identify inferior candidates from each group of inferred entity identifiers, wherein the computer searching algorithm facilitates determining the inferior candidates, and removing the inferior candidates from each group of inferred entity identifiers;
• using a second merge technique to classify the plurality of filtered groups of inferred entity identifiers, wherein the second merge technique requires fewer computational processes to classify the plurality of filtered groups of inferred entity identifiers relative to unfiltered groups of inferred entity identifiers;
• using a third merge technique to cluster the plurality of classified groups of inferred entity identifiers, wherein the third merge technique requires fewer computational processes to cluster the plurality of classified groups of inferred entity identifiers relative to unclassified groups of inferred entity identifiers;
• for each clustered group of inferred entity identifiers, merging a plurality of the public records of transactions of the group into a corresponding clustered common entity record set;
• and
• aggregating the public records of transactions for at least one corresponding clustered common entity record set.

A method, comprising:

• using a computer implemented facility to collect and store a plurality of public records of transactions, the public records of transactions corresponding to a plurality of transactions among a plurality of buyers and a plurality of suppliers;
• using the computer implemented facility to collect and store a plurality of records other than public records of transactions associated with at least one of:
• at least a portion of the buyers or at least a portion of the suppliers;
• determining an inferred entity identifier for each of the plurality of public records of transactions and each of the plurality of records other than public records of transactions;
• identifying groups of the inferred entity identifiers, wherein each group of the inferred entity identifiers connote a corresponding common entity, wherein the identifying is in response to a similarity of data in the public records of transactions and the records other than public records of transactions associated with each of the inferred entity identifiers;
• using a first merge technique to filter a plurality of the groups of inferred entity identifiers with a computer searching algorithm to determine inferior candidates of at least one of the public records or the records other than public records of transactions of each of the groups of inferred entity identifiers wherein the computer searching algorithm facilitates determining the inferior candidates;
• removing the inferior candidates from each of the groups of inferred entity identifiers, thereby obtaining a plurality of filtered groups of inferred entity identifiers requiring less complex computational processes to be merged into a common entity record set relative to unfiltered groups of inferred entity identifiers;
• using a second merge technique to classify the plurality of filtered groups of inferred entity identifiers, wherein the second merge technique requires fewer computational processes to classify the plurality of filtered groups of inferred entity identifiers relative to unfiltered groups of inferred entity identifiers;
• using a third merge technique to cluster the plurality of classified groups of inferred entity identifiers, wherein the third merge technique requires fewer computational processes to cluster the plurality of classified groups of inferred entity identifiers relative to unclassified groups of inferred entity identifiers;
• merging a plurality of the records of each of the clustered groups of inferred entity identifiers into a corresponding clustered common entity record set;
• and
• aggregating at least one of the public records of transactions or the records other than public records of transactions for at least one of the clustered common entity record sets.