NATURAL LANGUAGE METRIC CONDITION ALERTS

• US 20160203117A1
• Filed: 03/18/2016
• Published: 07/14/2016
• Est. Priority Date: 10/05/2012
• Status: Active Grant

• Current Assignee: Successfactors Incorporated (SAP SE)
• Original Assignee: Successfactors Incorporated (SAP SE)
• Inventors: Haine, Dominic Philip, Strezo, Michael, Capraro, Michel Angelo, Hagar, Lyndal, Ashton, Anthony, Bolwell, Laesa, Krakovsky, Dmitri, Ahlberg, Thor Axel
• Granted Patent: US 9,953,022 B2
• Time in Patent Office: Days
• US Class Current: 1/1
• CPC Class Codes: G06F 40/186 Templates
• CPC Class Codes: G06Q 10/067 Enterprise or organisation modelling

Abstract

Enterprise data sources can be monitored to detect metric conditions via rules, and alerts can be generated. The alerts can be presented as natural language descriptions of metric conditions. From an alert, the reader can navigate to a story page that presents additional detail and allows further navigation within the data. Additional detail presented can include a drill down synopsis, strategies for overcoming a negative condition, links to discussions within the organization about the condition, options for sharing or collaborating about the condition, or the like.

Claims

1. A method implemented at least in part by a computer, the method comprising:

displaying an original list of alerts comprising headlines comprising natural language descriptions of respective metric conditions detected for metrics in one more enterprise data sources;

receiving an activation of a particular alert out of the original list of alerts;

responsive to activation of the particular alert, displaying a story page comprising further detail about the metric condition of the particular alert, wherein the story page is depicted as emanating from the particular alert, and other alerts out of the original list of alerts are hidden from view; and

subsequently collapsing the story page responsive to a user activation, wherein collapsing the story page comprises continuing to display the particular alert and displaying the original list of alerts, including the other alerts previously hidden from view via alert activation.

2. One or more computer-readable devices comprising computer-executable instructions causing a computing system to perform the method of claim 1.

3. The method of claim 1 wherein:

the story page comprises a display of a metric associated with the metric condition of the particular alert as observed for a plurality of data segments within the enterprise data sources.

4. The method of claim 3 wherein the display of the metric as calculated for a plurality of data segments within the enterprise data sources comprises a drill down synopsis of the metric.

5. The method of claim 4 further comprising:

responsive to activation of the drill down synopsis, displaying an expanded version of the drill down synopsis showing additional data segments.

6. The method of claim 3 further comprising:

via the story page, receiving an indication to view the metric by segments other than those shown on the story page.

7. The method of claim 1 wherein:

the original list of alerts comprises a ranked list of alerts.

8. The method of claim 1 wherein the natural language descriptions of the metric conditions comprise a user-centric description.

9. The method of claim 8 wherein the user-centric description switches from second person grammar to third person grammar depending on to whom directed.

10. The method of claim 8 wherein the user-centric description comprises a description from an organizational chart perspective of a user to whom directed.

11. The method of claim 1 wherein displaying the particular alert comprises displaying a summary graph depicting the metric condition of the particular alert.

12. The method of claim 11 further comprising:

responsive to activation of the summary graph, displaying an expanded version of the summary graph.

13. The method of claim 12 wherein:

the expanded version of the summary graph comprises a natural language description of a specific trend amount over a prior period.

14. The method of claim 1 further comprising:

displaying a collaboration sidebar for the particular alert; and

responsive to activation of a user interface element on the collaboration sidebar, sharing the particular alert with a recipient.

15. The method of claim 1 further comprising:

displaying a user interface for adjusting a target setting for the particular alert, wherein the user interface superimposes a slider over a graph showing data points for the particular alert, and adjusting the slider adjusts the target setting.

16. The method of claim 15 further comprising:

via the user interface for adjusting the target setting, receiving an indication to change a tolerance for the particular alert.

17. The method of claim 1 wherein the particular alert originates from analysis of the one or more enterprise data sources with a plurality of metric condition detection rules.

18. The method of claim 1 wherein the metric condition of the particular alert is a negative metric condition, the method further comprising:

in the story page, displaying an indication of solutions for remedying the negative metric condition.

19. A computing device comprising:

one or more processors;

memory;

a display screen displaying an original list of alerts comprising headlines comprising natural language descriptions of respective metric conditions detected for metrics within one or more enterprise data sources, wherein the display screen is configured to receive an activation of a particular alert out of the original list of alerts; and

the computing device is configured to;

responsive to the activation of the particular alert, display a story page comprising further detail about the metric condition of the particular alert, wherein the story page is depicted as emanating from the particular alert, and other alerts out of the original list of alerts are hidden from view; and

subsequently collapse the story page responsive to a user activation, wherein collapsing the story page comprises continuing to display the particular alert and displaying the original list of alerts, including the other alerts hidden from view via alert activation.

20. One or more computer-readable storage media comprising computer-executable instructions causing a computing system to perform a method comprising:

for alerts generated by detecting metric conditions in an enterprise data source according to a set of metric condition detection rules, displaying the alerts as an original list of alerts comprising headlines comprising natural language descriptions of respective metric conditions detected for metrics within the enterprise data source, wherein a particular metric condition detection rule specifies automatic analysis dimensions;

receiving an activation of a particular alert out of the original list of alerts;

responsive to activation of the particular alert, displaying a story page comprising further detail about the metric condition of the particular alert, wherein the further detail comprises a drill down synopsis comprising segments generated by automatic drill down via the automatic analysis dimensions, the story page is depicted as emanating from the particular alert, and other alerts out of the original list of alerts are hidden from view;

subsequently collapsing the story page responsive to a user activation, wherein collapsing the story page comprises continuing to display the particular alert and displaying the original list of alerts, including the other alerts hidden from view via alert activation.