Abstract: A device and method may predict the likelihood of a customer service interactions. The method may include selecting a plurality of customer accounts, and determining events over at least one predetermined time period that are associated with each customer account from the selected customer accounts. The method may include determining risk values associated with the determined events, and generating a combined risk score for each customer account based upon the associated risk values. The method may further include assigning, for each customer account, a risk level associated with a likelihood of each customer interacting with a service representative. The method may also include determining that the risk level assigned to a customer account indicates a high likelihood of a customer interacting with a service representative, and then performing an action to automatically reduce the likelihood of the customer interacting with a service representative.

Abstract: One or more devices receive, from multiple business processes, real-time billing data relating to the multiple business processes, wherein the multiple business processes include both mainframe systems and open systems. The one or more devices compile the real-time billing data into summary tables corresponding to metrics for the multiple business processes and store the summary tables corresponding to the metrics for the multiple business processes. The one or more devices receive, from a user device, a request to present a dashboard user interface including particular charts of the multiple business processes and retrieve, from the summary tables, data to populate the particular charts for the dashboard user interface. The one or more devices providing, to the user device, a configuration interface for presentation of the particular charts for the dashboard user interface and providing, to the user device, the data to populate the particular charts for the dashboard user interface.

Abstract: A data management system includes a record database, an account database, a scenario database, and a computing device. The computing device includes a data management tool that is configured to identify scenarios based on information stored in the record database and store the identified scenarios in the scenario database. Further, the data management tool may associate identified scenarios with customer records stored in the account database. Upon receipt of a scenario selected by a user, the data management tool may automatically generate a query that identifies at least one customer record associated with the selected scenario, execute the query, and create a sample billing record for each customer record identified.

Abstract: A device is provided that includes a processor to: receive current billing information associated with an account of a customer; receive prior billing information associated with the account; compare the current billing information with the prior billing information; determine whether an inaccuracy exists in the current billing information based on the comparison; determine whether an inaccuracy exists in the current billing information due to improperly applied promotional information to the account; determine whether an inaccuracy exists in the current billing information due to an improperly applied set of rules to the account; correct, when one or more inaccuracies exist in the current billing information; the one or more inaccuracies; and create a final bill for the account based on the current billing information and the corrected one or more inaccuracies.

Abstract: A device is provided that includes a processor to: receive current billing information associated with an account of a customer; receive prior billing information associated with the account; compare the current billing information with the prior billing information; determine whether an inaccuracy exists in the current billing information based on the comparison; determine whether an inaccuracy exists in the current billing information due to improperly applied promotional information to the account; determine whether an inaccuracy exists in the current billing information due to an improperly applied set of rules to the account; correct, when one or more inaccuracies exist in the current billing information; the one or more inaccuracies; and create a final bill for the account based on the current billing information and the corrected one or more inaccuracies.

Abstract: A data management system includes a record database, an account database, a scenario database, and a computing device. The computing device includes a data management tool that is configured to identify scenarios based on information stored in the record database and store the identified scenarios in the scenario database. Further, the data management tool may associate identified scenarios with customer records stored in the account database. Upon receipt of a scenario selected by a user, the data management tool may automatically generate a query that identifies at least one customer record associated with the selected scenario, execute the query, and create a sample billing record for each customer record identified.