Abstract: Among other techniques, techniques for dynamic survivorship, cross-tenant matching, and lineage entity identifier (EID) promotion are described. A system utilizing these techniques can include an EID assignment engine, a dynamic survivorship engine, and a data item update engine. The dynamic survivorship engine can include a dynamic matching subengine, a dynamic merging subengine, a lineage EID promotion subengine, and a legacy EID retention subengine.

Abstract: Among other techniques, techniques for providing feedback associated with personally identifiable information (PII) to a customer that is a member of an industry are described. The feedback includes a comparison with dynamic industry state. A system utilizing these techniques can include a continuous initially personally identifiable information (IPII) destruction engine; an IPII feature extraction engine coupled to the continuous IPII destruction engine; a bit labeling engine coupled to the continuous IPII destruction engine; a classified and interpreted IPII attribute instance bits datastore coupled to the bit labeling engine; and an auto-meta comparator feedback engine coupled to the classified and interpreted IPII attribute instance bits datastore.

Abstract: Among other techniques, techniques for dynamic survivorship, cross-tenant matching, and lineage entity identifier (EID) promotion are described. A system utilizing these techniques can include an EID assignment engine configured to generate an EID for an entity, a session ID generation engine configured to generate a session ID for an augur session, an augur engine configured to receive the EID and the session ID and generate a first list of matched augur IDs and a second list of potential match augur IDs, and a hash generation engine configured to generate a one-way hash of the matched augur IDs and the potential match augur IDs using the session ID.

Abstract: Among other techniques, techniques for dynamic survivorship, cross-tenant matching, and lineage entity identifier (EID) promotion are described. A system utilizing these techniques can include an EID assignment engine, a progressive stitching engine, and a data item update engine. The progressive stitching engine can be at least conceptually characterized as comprising a data point onboarding subengine, a data point registration subengine, a data point matching subengine, and a data point merging subengine. A method utilizing these techniques can include assigning a data item EID to a data item, onboarding a data point, assigning a data point EID to the data point, matching the data point with the data item in a multitenant EID lineage-persistent relational database management system (RDBMS), merging the data point with the data item to create a merged data item, and changing the data item, triggering survivorship and lineage EID promotion rules.

Abstract: Among other techniques, techniques for dynamic survivorship, cross-tenant matching, and lineage entity identifier (EID) promotion are described. A system utilizing these techniques can include an EID assignment engine, a legacy EID retention engine, and a data item update engine. The legacy EID retention engine can be at least conceptually characterized as comprising a legacy EID survivorship subengine and a lineage EID promotion subengine. A method utilizing these techniques can include assigning a first EID to a first data item, maintaining the first EID during survivorship and lineage EID promotion processes in a multitenant EID lineage-persistent relational database management system (RDBMS), and merging the first data item with a second data item that has a second EID, which triggers survivorship and lineage EID promotion.

Abstract: Among other techniques, techniques for dynamic survivorship, cross-tenant matching, and lineage entity identifier (EID) promotion are described. A system utilizing these techniques can include an industry-agnostic datastore, an industry-focused datastore, a tenant datastore, a new dataset datastore, a new dataset onboarding engine, an EID assignment engine, an object registration engine, a primary EID selection engine, a matching engine, a merging engine, a survivorship engine, a cross-tenant matching engine, and a lineage EID promotion engine. A method utilizing these techniques can include new dataset onboarding, EID assignment, object registration, primary EID selection, matching, merging, survivorship, cross-tenant matching, and lineage EID promotion.

Abstract: Some embodiments of the invention provide a user interface that allows a user to specify one or more attributes that should be included in a master reference data set, and identify which of these attributes should serve as enterprise specified identifiers that can be used to identify the particular master reference data set in an enterprise data storage. Some embodiments of the invention provide a method that allows the master reference data set to be accessed and updated in the data storage through the use of the enterprise specified identifiers.

Abstract: Some embodiments of the invention provide a user interface that allows a user to specify one or more attributes that should be included in a master reference data set, and identify which of these attributes should serve as enterprise specified identifiers that can be used to identify the particular master reference data set in an enterprise data storage. Some embodiments of the invention provide a method that allows the master reference data set to be accessed and updated in the data storage through the use of the enterprise specified identifiers.

Abstract: Some embodiments of the invention provide a user interface that allows a user to specify one or more attributes that should be included in a master reference data set, and identify which of these attributes should serve as enterprise specified identifiers that can be used to identify the particular master reference data set in an enterprise data storage. Some embodiments of the invention provide a method that allows the master reference data set to be accessed and updated in the data storage through the use of the enterprise specified identifiers.

Abstract: A method and system that dynamically ranks electronic messages based on their situational and inherent dimensions, which are judged by a set of filters. These filters evaluate the different elemental metadata constituting a message and produce a priority value based on filters relevance and importance. The system iterates through queued messages, examine the structured content for expected attributes, statistically analyze unstructured content, apply dynamically weighted rules and policies to deliver a priority ranking, and then display the message and its vital attributes in accordance with the priority ranking. The system also adaptive learns and adjusts its weighted rules and policies to permit priority ranking to change on real-time or interval-based (may be user-defined) schedule. The system includes a GUI for increasing reading and processing efficiency.