Abstract: Systems and methods for reward account processing using a distributed ledger are disclosed. According one embodiment, at a node in a distributed ledger network for a plurality of reward program participants, the node comprising at least one computer processor, a method for reward account processing using a distributed ledger may include: (1) receiving a request to withdraw an amount of reward points from a customer account for a customer maintained by a distributed ledger; (2) retrieving, from the distributed ledger, a reward points balance for the customer account; (3) verifying that the reward points balance in the customer account is greater than the amount of reward points to be withdrawn; (4) writing a deduction of the amount of reward points from the reward points balance in the customer account to the distributed ledger; and (5) causing a financial instrument to be issued in response to the deduction.

Abstract: Systems and methods for reward account processing using a distributed ledger are disclosed. According one embodiment, at a node in a distributed ledger network for a plurality of reward program participants, the node comprising at least one computer processor, a method for reward account processing using a distributed ledger may include: (1) receiving a request to withdraw an amount of reward points from a customer account for a customer maintained by a distributed ledger; (2) retrieving, from the distributed ledger, a reward points balance for the customer account; (3) verifying that the reward points balance in the customer account is greater than the amount of reward points to be withdrawn; (4) writing a deduction of the amount of reward points from the reward points balance in the customer account to the distributed ledger; and (5) causing a financial instrument to be issued in response to the deduction.

Abstract: A data health management apparatus may include a non-transitory memory and a processor communicatively coupled to the memory. In some cases, the processor may be configured to process instructions read from the memory. For example, the instructions may cause the processor to identify data associated with an application, where the data stored in at least one data repository. The processor may then analyze, the data stored in the at least one data repository, such as via a network, to determine a data health metric. The instructions may then cause the processor to determine an action to be performed on the data repository based on the determined data health metric.

Abstract: A data health management apparatus may include a non-transitory memory and a processor communicatively coupled to the memory. In some cases, the processor may be configured to process instructions read from the memory. For example, the instructions may cause the processor to identify data associated with an application, where the data stored in at least one data repository. The processor may then analyze, the data stored in the at least one data repository, such as via a network, to determine a data health metric. The instructions may then cause the processor to determine an action to be performed on the data repository based on the determined data health metric.

Abstract: A data management apparatus may include a non-transitory memory coupled to a processor. The processor may be configured for managing data associated with one or more applications by processing instructions stored in the memory. For example, the instructions may cause the processor to determine metadata associated with content of an associated data repository. In some cases, the metadata may include information corresponding to an application associated with the data repository. Based on the metadata, the instructions may then cause the processor to create a data archive from at least a portion of the data repository and periodically analyze the metadata according to one or more data retention policies to determine whether the associated data archive is a candidate for destruction.