Abstract: Systems, methods, and computer products are described herein for identifying data inconsistencies within database tables associated with an application. A master data inconsistency evaluator receives data including at least one selection parameter within at least one database table. By the master data inconsistency evaluator evaluates the at least one selection parameter by comparing the at least one selection parameter with other database tables associated with the application to identify data inconsistencies. The master data inconsistency evaluator repairs the data inconsistencies to further facilitate an error free transaction.

Abstract: Systems, methods, and computer products are described herein for identifying data inconsistencies within database tables associated with an application. A master data inconsistency evaluator receives data including at least one selection parameter within at least one database table. By the master data inconsistency evaluator evaluates the at least one selection parameter by comparing the at least one selection parameter with other database tables associated with the application to identify data inconsistencies. The master data inconsistency evaluator repairs the data inconsistencies to further facilitate an error free transaction.

Abstract: Systems, methods, and computer products are described herein for identifying data inconsistencies within database tables associated with an application. A master data inconsistency evaluator receives data including at least one selection parameter within at least one database table. By the master data inconsistency evaluator evaluates the at least one selection parameter by comparing the at least one selection parameter with other database tables associated with the application to identify data inconsistencies. The master data inconsistency evaluator repairs the data inconsistencies to further facilitate an error free transaction.

Abstract: According to some embodiments, systems and methods are provided, comprising a data uniformity framework module; a data uniformity framework processor in communication with the data uniformity framework module and operative to execute processor-executable process steps to cause the system to: receive an indication that an action event was executed at a primary application; extract one or one or more key data elements affected by the execution of the action event; log the extracted one or more key data elements in a notification log; receive a request from a secondary application for the logged data; transmit the logged data to the secondary application; and manipulate secondary application data that corresponds to the logged data to replace the secondary application data with the logged data. Numerous other aspects are provided.

Abstract: Systems, methods, and computer products are described herein for identifying data inconsistencies within database tables associated with an application. A master data inconsistency evaluator receives data including at least one selection parameter within at least one database table. By the master data inconsistency evaluator evaluates the at least one selection parameter by comparing the at least one selection parameter with other database tables associated with the application to identify data inconsistencies. The master data inconsistency evaluator repairs the data inconsistencies to further facilitate an error free transaction.

Abstract: According to some embodiments, systems and methods are provided, comprising a data uniformity framework module; a data uniformity framework processor in communication with the data uniformity framework module and operative to execute processor-executable process steps to cause the system to: receive an indication that an action event was executed at a primary application; extract one or one or more key data elements affected by the execution of the action event; log the extracted one or more key data elements in a notification log; receive a request from a secondary application for the logged data; transmit the logged data to the secondary application; and manipulate secondary application data that corresponds to the logged data to replace the secondary application data with the logged data. Numerous other aspects are provided.