Natural language metric condition alerts
First Claim
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1. A method implemented at least in part by a computer, the 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 in one or more enterprise data sources, wherein a particular metric condition rule specifies automatic analysis dimensions and the metrics are respectively segmented using a plurality of 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;
responsive to activation of the further detail, displaying further drill down detail configured to allow free movement within the further drill down detail beyond what was specified in the metric condition;
subsequently navigating back to the story page responsive to activation of a user interface element; 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.
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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.
75 Citations
18 Claims
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1. A method implemented at least in part by a computer, the method comprising:
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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 in one or more enterprise data sources, wherein a particular metric condition rule specifies automatic analysis dimensions and the metrics are respectively segmented using a plurality of 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; responsive to activation of the further detail, displaying further drill down detail configured to allow free movement within the further drill down detail beyond what was specified in the metric condition; subsequently navigating back to the story page responsive to activation of a user interface element; 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. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16)
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17. A computing device comprising:
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one or more processors; memory; a display screen displaying an original list of alerts, generated by detecting metric conditions in one or more enterprise data sources according to a set of metric condition detection rules, comprising headlines comprising natural language descriptions of respective metric conditions detected for metrics within the one or more enterprise data sources, wherein a particular metric condition rule specifies automatic analysis dimensions and the metrics are respectively segmented using a plurality of dimensions, 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 by animation to emphasize that the story page is expanding upon the alert, other alerts out of the original list of alerts are hidden from view, and said further detail comprises a drill down synopsis comprising segments generated by automatic drill down via the automatic analysis dimensions; responsive to activation of the drill down synopsis, display further drill down detail configured to allow free movement within the further drill down detail beyond what was specified in the metric condition, wherein a first user interface element can be activated to reveal a dimension picker; subsequently navigating back to the story pane responsive to activation of a second user interface element; 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.
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18. One or more non-transitory computer-readable storage media comprising computer-executable instructions causing a computing system to perform a method comprising:
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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, the metrics have associated sample size thresholds to avoid statistical anomalies, and the metrics are respectively segmented using a plurality of 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 by animation to show that the story page is expanding upon the alert, and other alerts out of the original list of alerts are hidden from view; responsive to activation of the drill down synopsis, displaying further drill down detail configured to allow free movement within the further drill down detail beyond what was specified in the metric condition, wherein a first user interface element can be activated to reveal a dimension picker; subsequently navigating back to the story page responsive to activation of a second user interface element; 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 hidden from view via alert activation.
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Specification