Abstract: Embodiments disclosed herein provide a system and method for analyzing an identity hub. Particularly, a user can connect to the identity hub, load an initial set of data records, create and/or edit an identity hub configuration locally, analyze and/or validate the configuration via a set of analysis tools, including an entity analysis tool, a data analysis tool, a bucket analysis tool, and a linkage analysis tool, and remotely deploy the validated configuration to an identity hub instance. In some embodiments, through a graphical user interface, these analysis tools enable the user to analyze and modify the configuration of the identity hub in real time while the identity hub is operating to ensure data quality and enhance system performance.

Abstract: Systems and methods for managing data are disclosed. Embodiments of the present invention may allow attribute values associated with data records to be assembled and presented in a unified manner. More particularly, embodiments of the present invention may utilize a set of locally stored identity information associated with a data record to determine a set of logical procedures operable to retrieve values for one or more non-identity attributes from a remote location. Furthermore, other embodiments of the present invention may apply a logical procedure to the values of the attributes corresponding to data records to select one or more values of one or more attributes of the data records.

Abstract: Embodiments disclosed herein provide systems and methods that can bridge the gap between business operations and data management operations. An interface layer provides customizable interfaces for interactions with a master entity index (MEI) system to accomplish association, storage, management or processing of data records based on user-defined business service operations. The interface layer allows a user to define business services, operations, and logical procedures according to a desired data model such that the inputs and outputs for each operation of the service correspond to the particular needs of the user and allow different terminology to be employed by the user.

Abstract: Systems and methods for managing data are disclosed. Embodiments of the present invention may allow attribute values associated with data records to be assembled and presented in a unified manner. More particularly, embodiments of the present invention may utilize a set of locally stored identity information associated with a data record to determine a set of logical procedures operable to retrieve values for one or more non-identity attributes from a remote location. Furthermore, other embodiments of the present invention may apply a logical procedure to the values of the attributes corresponding to data records to select one or more values of one or more attributes of the data records.

Abstract: Embodiments disclosed herein provide systems and methods that can bridge the gap between business operations and data management operations. An interface layer provides customizable interfaces for interactions with a master entity index (MEI) system to accomplish association, storage, management or processing of data records based on user-defined business service operations. The interface layer allows a user to define business services, operations, and logical procedures according to a desired data model such that the inputs and outputs for each operation of the service correspond to the particular needs of the user and allow different terminology to be employed by the user.

Abstract: Embodiments disclosed herein provide a system and method for analyzing an identity hub. Particularly, a user can connect to the identity hub, load an initial set of data records, create and/or edit an identity hub configuration locally, analyze and/or validate the configuration via a set of analysis tools, including an entity analysis tool, a data analysis tool, a bucket analysis tool, and a linkage analysis tool, and remotely deploy the validated configuration to an identity hub instance. In some embodiments, through a graphical user interface, these analysis tools enable the user to analyze and modify the configuration of the identity hub in real time while the identity hub is operating to ensure data quality and enhance system performance.