Open Text Corporation

Nathaniel Davidson

Raman Walia

Igor Makhlin

Boris Grinblat

Alex Vladimir Popovich

Uri Kochavi

Dmitry Volchegursky

Aviv Rosenfeld

Multi-dimensional aggregation using user interface workflow composition is described. Data for a computer implemented process is in a set of related data objects in a data store with each object in the set of related data objects representing an entity modelled in the process. A number of levels for a multi-dimensional aggregation associated with a request is determined where each level of the multi-dimensional aggregation represents a different dimension of data values to be aggregated. Data is aggregated at the levels of aggregation based on the relationships between parent objects and children objects. The data for a final level of aggregation is output to a user interface. The final result includes multiple dimensions of data.

Methods and systems for multi-dimensional aggregation using composition

A method for providing automated predictive analysis for a case management system is disclosed and includes providing, by a server, a case management system comprising configuration information defining a plurality of case attributes and performance criteria comprising at least one performance criterion, and comprising case management data associated with the plurality of case attributes and a plurality of cases, and automatically determining a projected outcome associated with a performance criterion included in the configuration information. The method also includes identifying a correlation between a case attribute and the projected outcome based on case management data associated with the case attribute and/or case management data associated with the performance criterion, generating a prediction model based on the correlation and providing a prediction relating to the projected outcome based on the correlation.

Methods and systems for providing automated predictive analysis

Multi-dimensional aggregation using user interface workflow composition is described. A determination is made whether aggregation is complete for each level of a multi-dimension aggregation. Data is retrieved for a level of aggregation in response to a determination that aggregation is not complete for each level of the multi-dimension aggregation. The data is aggregating based on the level of aggregation. The aggregated data is stored for a next level of aggregation. The data for a final level of aggregation is output to a user interface in response to a determination that aggregation is complete for each level of the multi-dimension aggregation.

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Raanana, Israel

Nathaniel Davidson