Successfactors, Inc.

Laesa Bolwell

Dominic Philip Haine

Dmitri Krakovsky

Anthony Ashton

Michael Strezo

Lyndal Hagar

Michel Angelo Capraro

Thor Axel Ahlberg

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.

Natural language metric condition alerts

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 generation

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Brisbane, Australia

Laesa Bolwell