Conviva Inc.

Jose Caldeira Jesus

Aditya Ravikumar Ganjam

Yan Li

Haijie Wu

Hui Zhang

Konstantin Shinkarenko

Evaluating multi-dimensional information includes providing a plurality of initial dimensions. Each dimension represents a factor related to performance. It further includes receiving a first selection of a value for a first dimension in the plurality of initial dimensions. It further includes providing a plurality of potentially significant dimensions from among a set of dimensions. It further includes receiving a second selection of a second dimension from among the plurality of potentially significant dimensions. It further includes determining the plurality of potentially significant dimensions based on an indication of presence of outliers in the potentially significant dimension. A dimension that significantly affects performance is identified.

Automated surfacing of multi-dimensional insights

Determining a stateful metric includes receiving a first mapped event that is generated based on semantic mapping of a first raw event associated with a first time. It further includes receiving a second mapped event that is generated based on semantic mapping of a second raw event associated with a second time that is subsequent to the first time. It further includes determining a stateful metric based on the first mapped event and the second mapped event.

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London, United Kingdom

Jose Caldeira Jesus