Abstract: Various embodiments described herein relate to alarm analytics for providing prescriptive recommendations of configuration parameters for industrial process alarms. In this regard, a request to obtain alarm tuning recommendation data for one or more alarm configuration parameters related to one or more industrial processes in an industrial environment is transmitted to a server system in response to an action performed with respect to a first user interface configuration for an interactive user interface. In response to the request, the alarm tuning recommendation data is received from the server system. The alarm tuning recommendation data is configured based at least on alarm insight data associated with respective alarm count reduction predictions for the one or more alarm configuration parameters.

Abstract: Various embodiments for an alarm performance optimizer are disclosed. An embodiment operates by receiving information about a status of each of a plurality of alarm configurations monitored by a control system. Calculating one or more alarm configuration health metrics based on the received information. The calculated one or more alarm configuration health metrics are displayed in a user interface. A first action that will increase a value of a first alarm metric of the one or more alarm configuration health metrics is identified. The first action is displayed on the user interface. A selection of the first action is received via the user interface. The user interface is updated to display additional details about a subset of the plurality of alarm configurations associated with the first action.

Abstract: A method includes obtaining information identifying transactions from multiple sources, the transactions related to multiple functional domains of a supply chain associated with at least one industrial process. The method also includes storing the information in a data store according to a unified model, the unified model representing all of the multiple sources. The method further includes generating one or more user-defined metrics and one or more user-defined analytics using the information. In addition, the method includes storing the metrics and the analytics in the data store.