Abstract: In some aspects, an entity-resolution computing system for entity resolution is provided. The entity-resolution computing system includes an entity-resolution server configured for correlating data objects from an identity data repository that contains account or transaction data for entities based on the data objects including a common portion of the account or transaction data. The entity-resolution server updates the identity data repository to include an entity identifier that links the data objects and indicates that the data objects refer to a common entity. The entity-resolution server creates an entity-resolution data structure having the data objects with the entity identifier and a new variant data object containing a modified version of account or transaction data that match the common entity.

Abstract: In some aspects, an entity-resolution computing system for entity resolution is provided. The entity-resolution computing system includes an entity-resolution server configured for correlating data objects from an identity data repository that contains account or transaction data for entities based on the data objects including a common portion of the account or transaction data. The entity-resolution server updates the identity data repository to include an entity identifier that links the data objects and indicates that the data objects refer to a common entity. The entity-resolution server creates an entity-resolution data structure having the data objects with the entity identifier and a new variant data object containing a modified version of account or transaction data that match the common entity.

Abstract: In some aspects, an entity-resolution computing system for entity resolution is provided. The entity-resolution computing system includes an entity resolution computing device configured as an interface between a client computing device and an encrypted identity data repository that contain resolved entity dataset. The entity resolution computing device is configured for servicing a resolution request from the client computing device by matching encrypted indexes generated from identity data objects stored in a client identity database to encrypted data objects stored in the encrypted identity data repository. The resolution computing device retrieves and transmits a common entity identifier associated with the encrypted data objects so that the client computing device can link the identity data objects stored in a client identity database via the common entity identifier.

Abstract: Embodiments are directed to data verification of business or consumer data. Certain embodiments include a data verification system that receives or selects data to be verified, selects one or more verification methods to verify, update, and/or append/enhance the data. The data verification system may verify the data with one or more data verification methods, either alone or in combination. The methods may include a web-crawling verification method, an agent web verification method, a call verification method, a direct mail method, an email method, an in-person verification method, or other methods. The system has the ability to, automatically or manually, (1) blend automatic and manual segmentation of records or elements by criteria such as industry type, best times of day/month/year to verify, update, or append, cost, and level of importance (2) select the best verification processing method(s), and (3) manage the results and properly verify, update, append/enhance records.

Abstract: In some aspects, an entity-resolution computing system for entity resolution is provided. The entity-resolution computing system includes an entity-resolution server configured for correlating data objects from an identity data repository that contains account or transaction data for entities based on the data objects including a common portion of the account or transaction data. The entity-resolution server updates the identity data repository to include an entity identifier that links the data objects and indicates that the data objects refer to a common entity. The entity-resolution server creates an entity-resolution data structure having the data objects with the entity identifier and a new variant data object containing a modified version of account or transaction data that match the common entity.

Abstract: In some aspects, an entity-resolution computing system for entity resolution is provided. The entity-resolution computing system includes an entity resolution computing device configured as an interface between a client computing device and an encrypted identity data repository that contain resolved entity dataset. The entity resolution computing device is configured for servicing a resolution request from the client computing device by matching encrypted indexes generated from identity data objects stored in a client identity database to encrypted data objects stored in the encrypted identity data repository. The resolution computing device retrieves and transmits a common entity identifier associated with the encrypted data objects so that the client computing device can link the identity data objects stored in a client identity database via the common entity identifier.

Abstract: Embodiments are directed to data verification of business or consumer data. Certain embodiments include a data verification system that receives or selects data to be verified, selects one or more verification methods to verify, update, and/or append/enhance the data. The data verification system may verify the data with one or more data verification methods, either alone or in combination. The methods may include a web-crawling verification method, an agent web verification method, a call verification method, a direct mail method, an email method, an in-person verification method, or other methods. The system has the ability to, automatically or manually, (1) blend automatic and manual segmentation of records or elements by criteria such as industry type, best times of day/month/year to verify, update, or append, cost, and level of importance (2) select the best verification processing method(s), and (3) manage the results and properly verify, update, append/enhance records.

Abstract: In some aspects, an entity-resolution computing system for entity resolution is provided. The entity-resolution computing system includes an entity resolution computing device configured as an interface between a client computing device and an encrypted identity data repository that contain resolved entity dataset. The entity resolution computing device is configured for servicing a resolution request from the client computing device by matching encrypted indexes generated from identity data objects stored in a client identity database to encrypted data objects stored in the encrypted identity data repository. The resolution computing device retrieves and transmits a common entity identifier associated with the encrypted data objects so that the client computing device can link the identity data objects stored in a client identity database via the common entity identifier.

Abstract: In some aspects, an entity-resolution computing system for entity resolution is provided. The entity-resolution computing system includes an entity resolution computing device configured as an interface between a client computing device and an encrypted identity data repository that contain resolved entity dataset. The entity resolution computing device is configured for servicing a resolution request from the client computing device by matching encrypted indexes generated from identity data objects stored in a client identity database to encrypted data objects stored in the encrypted identity data repository. The resolution computing device retrieves and transmits a common entity identifier associated with the encrypted data objects so that the client computing device can link the identity data objects stored in a client identity database via the common entity identifier.

Abstract: Embodiments are directed to data verification of business or consumer data. Certain embodiments include a data verification system that receives or selects data to be verified, selects one or more verification methods to verify, update, and/or append/enhance the data. The data verification system may verify the data with one or more data verification methods, either alone or in combination. The methods may include a web-crawling verification method, an agent web verification method, a call verification method, a direct mail method, an email method, an in-person verification method, or other methods. The system has the ability to, automatically or manually, (1) blend automatic and manual segmentation of records or elements by criteria such as industry type, best times of day/month/year to verify, update, or append, cost, and level of importance (2) select the best verification processing method(s), and (3) manage the results and properly verify, update, append/enhance records.

Abstract: Embodiments are directed to data verification of business or consumer data. Certain embodiments include a data verification system that receives or selects data to be verified, selects one or more verification methods to verify, update, and/or append/enhance the data. The data verification system may verify the data with one or more data verification methods, either alone or in combination. The methods may include a web-crawling verification method, an agent web verification method, a call verification method, a direct mail method, an email method, an in-person verification method, or other methods. The system has the ability to, automatically or manually, (1) blend automatic and manual segmentation of records or elements by criteria such as industry type, best times of day/month/year to verify, update, or append, cost, and level of importance (2) select the best verification processing method(s), and (3) manage the results and properly verify, update, append/enhance records.

Abstract: Embodiments are directed to data verification of business or consumer data. Certain embodiments include a data verification system that receives or selects data to be verified, selects one or more verification methods to verify, update, and/or append/enhance the data. The data verification system may verify the data with one or more data verification methods, either alone or in combination. The methods may include a web-crawling verification method, an agent web verification method, a call verification method, a direct mail method, an email method, an in-person verification method, or other methods. The system has the ability to, automatically or manually, (1) blend automatic and manual segmentation of records or elements by criteria such as industry type, best times of day/month/year to verify, update, or append, cost, and level of importance (2) select the best verification processing method(s), and (3) manage the results and properly verify, update, append/enhance records.

Abstract: Embodiments are directed to data verification of business or consumer data. Certain embodiments include a data verification system that receives or selects data to be verified, selects one or more verification methods to verify, update, and/or append/enhance the data. The data verification system may verify the data with one or more data verification methods, either alone or in combination. The methods may include a web-crawling verification method, an agent web verification method, a call verification method, a direct mail method, an email method, an in-person verification method, or other methods. The system has the ability to, automatically or manually, (1) blend automatic and manual segmentation of records or elements by criteria such as industry type, best times of day/month/year to verify, update, or append, cost, and level of importance (2) select the best verification processing method(s), and (3) manage the results and properly verify, update, append/enhance records.