Servicenow, Inc.

Georgi Ivanov

Aida Rikovic Tabak

Ciprian Mocanu

Jimmy Castex

Andrei-Mihai Gabur

Benedetto Fiorelli

Robert-Jan Barmentloo

Johannes Von Sichart

Marta Penzo

Lidhvija Boini

Anita Lugomer

Adrianus Augustinus Mathijssen

Ramya Raghavan

Andrei Gabur

A system includes a client instance hosted by a datacenter, wherein the client instance is generated for one or more client networks. The system performs operations comprising generating a graphical user interface, receiving, via the graphical user interface, an input adjusting the selected time period, and updating the graphical user interface in real time in response to the received input. The graphical user interface includes a timeline that spans an entirety of an incident dataset, a selected time period, wherein the selected time period is a portion of the timeline, a plot of incident data from the incident dataset over the selected time period, and a plurality of calculated metrics based on the incident data during the selected time period.

Systems and method for incident scorecard

Visualizations are automatically generated based at least on a received identifier identifying a report. One or more data sets and one or more style configurations are retrieved from a shared visualization library via a backend API based on the received identifier and passed to a router component. The router component includes a switch that renders a score component, which generates a score visualization, if the retrieved data sets include score data. If the data sets include time series data, or the score visualization also includes a time series graph, the router component renders a time series component that passes the data sets and the style configurations to a parser that parses the data sets and the style configurations and outputs one or more highcharts options objects. A highcharts component generates the time series visualizations and/or adds the time series graph to the score visualization based on the highcharts options objects.

Systems and method for shared visualization library

Visualizations are automatically generated based at least on an identifier that identifies a report. One or more data sets and style configurations are retrieved from a shared visualization library via a backend API based on the received identifier and passed to a router component. The router component includes a switch that renders a score component, which generates a score visualization, if the retrieved data sets include score data. If the data sets include time series data, or the score visualization also includes a time series graph, the router component renders a time series component that passes the data sets and the style configurations to a parser that parses the data sets and the style configurations and outputs one or more highcharts options objects. A highcharts component generates the time series visualizations and/or adds the time series graph to the score visualization based on the highcharts options objects.

A system is provided for updating an aggregate value used to generate a display on a client device. The system can include a server device including a processor and a memory, the memory including instructions executable by the processor to: generate the aggregate value based on a set of records stored in a database; generate a metadata record that includes values based on the set of records used to generate the aggregate value; identify a change to the set of records; determine whether the change will affect a validity of the aggregate value; generate an updated aggregate value based on the change and a metadata record; update the metadata record to include values based on the change; and communicate the updated aggregate value to the client device.

System and method for generating aggregate data

A hosted client instance includes a performance analytics module to present an internal key performance indicator and an external key performance indicator on a performance analytics dashboard. A query is executed to a connection to an external data source over a network to obtain a result set of data associated with the external key performance indicator. REST APIs associated with the performance analytics module are executed to: store the result set of data in a performance analytics storage device on the hosted client instance, the performance analytics storage device storing both the data associated with external and internal key performance indicators; and render, via a UI rendering engine of the performance analytics module, one or more widgets on the performance analytics dashboard. The REST APIs interact with the data associated with the internal and external indicators in the storage device to render the one or more widgets.

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Amstelveen, Netherlands

Georgi Ivanov