Abstract: The disclosure relates to a system, computer readable medium, and method for automated data verification. The disclosure provides highly automated, customizable ways of verifying the integrity of large sets of data to ensure that data migration has occurred correctly. Namely, source data is converted into spreadsheet files using a customizable set of field definitions and then filtered to identify corresponding sets of data to be verified. Once filtered, the data in the spreadsheets are converted in hashmaps, which can easily and efficiently be compared to each other to find any inconsistencies in the data. Accordingly, as a result of this process, large sets of source data can be error checked in an efficient manner that saves computing processing power and time. This disclosure therefore addresses the problem of how to perform comparisons of various data across multiple source systems in large volumes.

Abstract: The disclosure relates to a system, computer readable medium, and method for automated data verification. The disclosure provides highly automated, customizable ways of verifying the integrity of large sets of data to ensure that data migration has occurred correctly. Namely, source data is converted into spreadsheet files using a customizable set of field definitions and then filtered to identify corresponding sets of data to be verified. Once filtered, the data in the spreadsheets are converted in hashmaps, which can easily and efficiently be compared to each other to find any inconsistencies in the data. Accordingly, as a result of this process, large sets of source data can be error checked in an efficient manner that saves computing processing power and time. This disclosure therefore addresses the problem of how to perform comparisons of various data across multiple source systems in large volumes.