Abstract: A device receives, from a user device, a request to prune a primary database, and receives primary database information associated with the primary database and secondary database information associated with a secondary database that is different than the primary database. The device processes the primary database information and the secondary database information, with a machine learning model, to generate suggested pruning parameters, and provides the suggested pruning parameters to the user device. The device receives selected pruning parameters from the user device, where the selected pruning parameters are selected from the suggested pruning parameters or are input via the user device. The device removes pruned information from the primary database based on the selected pruning parameters, and provides the pruned information to the secondary database based on the selected pruning parameters.

Abstract: A device receives a first set of information that relates to bank accounts associated with users, and receives a second set of information that relates to loyalty credits associated with the users. The device receives a third set of information that relates to stored-value cards associated with the users, and trains a model based on the first, second, and third sets of information. The device receives, from a client device, a request for a transaction, and utilizes the trained model to generate recommendations. The device provides, to the client device, the recommendations and a request for transaction information, and receives, from the client device, the transaction information, where the transaction information includes account information, loyalty credits information, and stored-value card information. The device determines transaction terms based on the account information, the loyalty credits information, and the stored-value card information, and provides the transaction terms to the client device.

Abstract: A computer system for analyzing page tags of a website. The system may include a processor in communication with a database; and a storage medium. The storage medium may store instructions that, when executed, configure the processor to: access the website, the website comprising plurality of page tags; generate a collected tag record by aggregating the page tags, the collected tag record comprising collected elements; request, from the database, a benchmark tag record, the benchmark record comprising benchmark elements, the benchmark tag record being based on historic page tags stored in the database; generate a result tag record, the result tag record indicating at least one of matches or mismatches between the benchmark tag record and the collected tag record; and display at least one of the result tag record or an analysis result, the analysis result representing an aggregation of the result.

Abstract: A computer system for analyzing page tags of a website. The system may include a processor in communication with a database; and a storage medium. The storage medium may store instructions that, when executed, configure the processor to: access the website, the website comprising plurality of page tags; generate a collected tag record by aggregating the page tags, the collected tag record comprising collected elements; request, from the database, a benchmark tag record, the benchmark record comprising benchmark elements, the benchmark tag record being based on historic page tags stored in the database; generate a result tag record, the result tag record indicating at least one of matches or mismatches between the benchmark tag record and the collected tag record; and display at least one of the result tag record or an analysis result, the analysis result representing an aggregation of the result.