Abstract: A method and a system for providing database resiliency are disclosed. The method includes receiving a set of data from one or more sources at a primary database. Next, the method includes continuously monitoring for a potential detection of at least one anomaly in the set of data based on at least one activity performed on the set of data. Next, the method includes transmitting a plurality of data logs associated with the set of data from the primary database to an intermediate log storage location. Next, the method includes introducing a predefined delay to the plurality of data logs at the intermediate log storage location prior to a transmission of the plurality of data logs to a recovery database. Thereafter, the method includes performing a standby switchover to the recovery database in an event the at least one anomaly is detected at the primary database.

Abstract: A method and a system for providing database resiliency are disclosed. The method includes receiving a set of data from one or more sources at a primary database. Next, the method includes continuously monitoring for a potential detection of at least one anomaly in the set of data based on at least one activity performed on the set of data. Next, the method includes transmitting a plurality of data logs associated with the set of data from the primary database to an intermediate log storage location. Next, the method includes introducing a predefined delay to the plurality of data logs at the intermediate log storage location prior to a transmission of the plurality of data logs to a recovery database. Thereafter, the method includes performing a standby switchover to the recovery database in an event the at least one anomaly is detected at the primary database.

Abstract: A method for smart liquidity management is disclosed. The method includes: receiving a past transactional data set comprising data of at least one transaction; identifying a first set of parameters and a second set of parameters based on the past transactional data set; analyzing the first set of parameters, to automatically predict an amount receivable for an acquirer bank entity from at least one card network, for a period of time; analyzing the second set of parameters, to automatically predict an amount payable from the acquirer bank entity to at least one merchant, for the period of time; and identifying a smart liquidity plant for the acquirer bank entity based on the prediction of the amount receivable and the prediction of the amount payable. The smart liquidity plan comprises at least one liquidity demand, and each liquidity demand corresponds to a specific currency type.