Aggregation of noisy datasets into master firmographic database

A system comprising:

• at least one hardware processor;
• and
• one or more software modules that are configured to, when executed by the at least one hardware processor,
• receive data comprising a plurality of firmographic records from a plurality of sources, wherein each of the plurality of firmographic records comprises a plurality of fields,
• normalize the plurality of firmographic records into a common schema,
• clean the plurality of firmographic records by replacing a value of each of one or more of the plurality of fields in one or more of the plurality of firmographic records with a value of that field in another one of the plurality of firmographic records,
• cluster the plurality of firmographic records into a plurality of clusters, wherein each of the plurality of clusters comprises a subset of the plurality of firmographic records,
• for each of the plurality of clusters, collapse the subset of firmographic records in that cluster into a single conflated firmographic record based on a voting process within that cluster,
• generate a master identifier for each conflated firmographic record, and
• merge the conflated firmographic records into a master firmographic database, comprising a plurality of mastered firmographic records, based on the master identifiers.

A non-transitory computer-readable medium having instructions stored therein, wherein the instructions, when executed by a processor, cause the processor to:

• receive data comprising a plurality of firmographic records from a plurality of sources, wherein each of the plurality of firmographic records comprises a plurality of fields;
• normalize the plurality of firmographic records into a common schema;
• clean the plurality of firmographic records by replacing a value of each of one or more of the plurality of fields in one or more of the plurality of firmographic records with a value of that field in another one of the plurality of firmographic records;
• cluster the plurality of firmographic records into a plurality of clusters, wherein each of the plurality of clusters comprises a subset of the plurality of firmographic records;
• for each of the plurality of clusters, collapse the subset of firmographic records in that cluster into a single conflated firmographic record based on a voting process within that cluster;
• generate a master identifier for each conflated firmographic record;
• and
• merge the conflated firmographic records into a master firmographic database, comprising a plurality of mastered firmographic records, based on the master identifiers.