Servicenow, Inc.

Marta Penzo

Aida Rikovic Tabak

Seth Tucker Stafford

Shayan Shahand

Robert Andrew Ninness

Abhijith Thette Nagarajan

Prabhakaran Subramani Thandayuthapani

Dileeshvar Radhakrishnan

Sumana Ravikrishnan

Ciprian Mocanu

Georgi Ivanov

Lidhvija Boini

Jimmy Castex

Olga Redkina

Andrei-Mihai Gabur

Anita Lugomer

Adrianus Augustinus Mathijssen

Size Ma

Dimosthenis Mouzouris

Ramya Raghavan

An analytics server is disclosed that enables natural language queries (NLQs) to be used to access key performance indicator (KPI) data. The analytics server includes a graphical user interface (GUI) that presents a set of KPIs associated with a user. The GUI includes suitable user interface elements to enable the user to provide natural language queries regarding these KPIs. The user interface elements provide the user with suggested NLQs based on, for example, KPIs to which the user has access and/or previous NLQs of the user. In response to the analytics server receiving a suitable NLQ from the user, the analytics server generates an appropriate database query to retrieve the KPI data requested by the NLQ. The GUI is then updated to present a visual representation (e.g., a bar graph, a pie chart, a trend line, a single value) of the retrieved KPI data.

Analytics center having a natural language query (NLQ) interface

An enterprise management platform is configured to host a respective instance for multiple client networks. The enterprise management platform receives incoming data including one or more metrics being tracked in the incoming data by the enterprise management platform. The enterprise management platform determines that a condition is reached based on the one or more metrics and selects at least a portion of the incoming data for a dashboard of the enterprise management platform responsive to determining that the incoming data is indicative of the condition being reached. The enterprise management platform provides, to a client device associated with one of the plurality of client networks, a representation of a graphical user interface displaying a data insights widget of the dashboard that displays the data indicative of the condition being reached without displaying other data in the incoming data that has not reached a level indicative of other conditions.

Data insights for performance analytics

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

An enterprise management platform is configured to host a respective instance for multiple client networks. The enterprise management platform receives incoming data including one or more metrics being tracked in the incoming data by the enterprise management platform. For each metric of the one or more metrics, a determination is made that a statistic generator is to be processed for the corresponding metric, and responsive to determining that the statistic generator is to be processed, a statistic is generated using the statistic generator. For each statistic, a news score is generated, using a news evaluator, to convert the statistic generator to a news score. The news scores are then sorted and stored in a database disposed within the enterprise management platform.

Data insight scoring for performance analytics

Systems, methods, and media are presented to analyze unstructured text. Unstructured data is retrieved from a user inputs or records. The user inputs include an incident report or a problem report. Text words in the unstructured data are identified. A number of occurrences of each text word is counted. The text words are displayed in a word cloud by displaying each of the text words with a size corresponding to the number of occurrences of the respective text word. A larger number of occurrences results in a larger size of the respective text word when displayed. At least one trendline for occurrences for a corresponding text word is also displayed.

Text analysis of unstructured data

Growing community of inventors

Amsterdam, Netherlands

Marta Penzo