Abstract: Various methods, apparatuses/systems, and media for enhanced transaction utility are disclosed. A processor implements a single data source for accessing to transaction data associated with each type of transaction related to a user account; causes a receiver to receive user input data from a user computing device for requesting access to a type of transaction data related to the user account from the single data source; and authenticate the user based on verifying the received user input data with pre-stored user data. The processor also routes, in response to authenticating, to a transaction application programming interface (API) corresponding to the requested type of transaction data; calls the transaction API via an API gateway to fetch the requested type of transaction data from the single data source; and causes a GUI of the user computing device to display the requested type of transaction data.

Abstract: Various methods, apparatuses/systems, and media for enhanced transaction utility are disclosed. A processor implements a single data source for accessing to transaction data associated with each type of transaction related to a user account; causes a receiver to receive user input data from a user computing device for requesting access to a type of transaction data related to the user account from the single data source; and authenticate the user based on verifying the received user input data with pre-stored user data. The processor also routes, in response to authenticating, to a transaction application programming interface (API) corresponding to the requested type of transaction data; calls the transaction API via an API gateway to fetch the requested type of transaction data from the single data source; and causes a GUI of the user computing device to display the requested type of transaction data.

Abstract: Various methods, apparatuses, and media for facilitating data generation based on a set of metadata are provided. The methodology includes operations of receiving a first input that relates to data attributes and corresponding data attribute descriptions; receiving a second input that relates to applicable data quality rules; using the received inputs to generate a set of metadata; and using the generated set of metadata to generate new data that is compatible with the data quality rules. The data quality rules may be used to determine certification metrics that are used to analyze the newly generated data, in order to ensure a result that has a high level of data quality.

Abstract: Various methods, apparatuses, and media for facilitating data generation based on a set of metadata are provided. The methodology includes operations of receiving a first input that relates to data attributes and corresponding data attribute descriptions; receiving a second input that relates to applicable data quality rules; using the received inputs to generate a set of metadata; and using the generated set of metadata to generate new data that is compatible with the data quality rules. The data quality rules may be used to determine certification metrics that are used to analyze the newly generated data, in order to ensure a result that has a high level of data quality.