- San Mateo CA, US Michael Strezo - San Mateo CA, US Michel Angelo Capraro - San Francisco CA, US Lyndal Hagar - San Francisco CA, US Anthony Ashton - San Mateo CA, US Laesa Bolwell - Brisbane, AU Dmitri Krakovsky - San Francisco CA, US Thor Axel Ahlberg - Brisbane, AU
Assignee:
SuccessFactors, Inc. - San Mateo CA
International Classification:
G06F 17/27
US Classification:
704 9
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 business 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.
Natural Language Metric Condition Alerts User Interfaces
- San Mateo CA, US Michael Strezo - San Mateo CA, US Michel Angelo Capraro - San Francisco CA, US Lyndal Hagar - San Francisco CA, US Anthony Ashton - San Mateo CA, US Laesa Bolwell - Brisbane, AU Dmitri Krakovsky - San Francisco CA, US
Assignee:
SuccessFactors, Inc. - San Mateo CA
International Classification:
G06T 11/20 G06Q 10/06
US Classification:
705 711, 345440
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 business 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.
Natural Language Metric Condition Alerts Orchestration
- San Mateo CA, US Thor Axel Ahlberg - Brisbane, AU Lyndal Hagar - San Francisco CA, US Laesa Bolwell - Brisbane, AU Anthony Ashton - San Mateo CA, US Dominic Philip Haine - San Francisco CA, US Michel Angelo Capraro - San Francisco CA, US Dmitri Krakovsky - San Francisco CA, US
Assignee:
SuccessFactors, Inc. - San Mateo CA
International Classification:
G06Q 10/06
US Classification:
705 739, 705 711
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 business 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.
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