Abstract: The disclosure facilitates management of a plurality of related data stores by tracking metadata changes across the data stores, detecting the impact of the tracked metadata changes, and generating alerts based on the detected impact. Metadata change data from a plurality of data stores are received by a change impact engine and recorded to a centralized metadata change data structure. At least one change impact rule is applied to the recorded metadata change data and, upon detection of an impact based on the applied change impact rule, an alert based on the applied impact rule is generated. Consolidating the metadata change data from multiple data stores and detecting metadata changes that will significantly impact the operation of the associated system provide advance opportunities to manage and/or mitigate the impact of the metadata changes.

Abstract: The disclosure facilitates management of a plurality of related data stores by tracking metadata changes across the data stores, detecting the impact of the tracked metadata changes, and generating alerts based on the detected impact. Metadata change data from a plurality of data stores are received by a change impact engine and recorded to a centralized metadata change data structure. At least one change impact rule is applied to the recorded metadata change data and, upon detection of an impact based on the applied change impact rule, an alert based on the applied impact rule is generated. Consolidating the metadata change data from multiple data stores and detecting metadata changes that will significantly impact the operation of the associated system provide advance opportunities to manage and/or mitigate the impact of the metadata changes.

Abstract: Systems and methods are provided for identifying advertising opportunities for subsequent events, based on event data and transaction data for similar prior events. One exemplary method includes accessing event data associated with a prior event where the event data includes tags associated with the prior event, and accessing transaction data for consumers based on transactions by the consumers involving merchants associated with the prior event. The method also includes compiling an aggregate consumer profile for the consumers based on the accessed transaction data, where the profile includes categories of transactions included in the transaction data. The method further includes causing an insight interface to be delivered to a user associated with a subsequent event based on the aggregate consumer profile and the event data, whereby the user is able to identify potential advertising opportunities for the subsequent event via the insight interface for the prior event.

Abstract: Methods and systems for labeling payment transactions with a transaction lifecycle label using a lifecycle labeling computer system are provided. The system stores authorization, clearing and fraud data associated with a plurality of payment transactions within a database. The system further generates a first table of matching transaction identifiers for a first group of transactions included within the plurality of transactions by matching authorization data to clearing data for the first group of payment transactions The system then generates a second table of matching transaction identifiers for a second group of transactions included within the plurality of transactions by matching clearing data to fraud data for the second group of payment transactions The system also generates a third table of matching transaction identifiers by comparing the first table of transaction identifiers to the second table of transaction identifiers using the lifecycle labeling computer system.