Accenture Global Services Gmbh

Ryan Matthew LaSalle

Hillery D Simmons

Rhazes Spell

Emil Robert Martinsek

Karoline Evans

Daniel R Madigan

Sanjay Mathur

Carie Anne Bottenfield

Kyle William Smith

Charles Nebolsky

Peter W Park

Garth R Andrus

Matthew J Majer

Eric R Miller

Janet A Tafoya

Anouk Trudel

A knowledge model discovery system is configured to provide an interactive view having simultaneously displayed sub-views that include a relational data element view and a contextual view. Using the interactive view, a user may perform search and analysis of information organized with a knowledge management tool in conjunction with contextual information. The relational data element view may provide a relational visualization that displays data elements provided with the knowledge management tool as narrowed by the context of a user analysis. The contextual view may provide a depiction of the same data elements using a similar context. The relational data element view and the contextual view may be operated in coordination to maintain cohesiveness and similar context of the information displayed in the views.

Knowledge discovery system with user interactive analysis view for analyzing and generating relationships

A knowledge model discovery system is configured to provide an interactive view having simultaneously displayed sub-views that include a relational data element view and a geophysical view. Using the interactive view, a user may perform search and analysis of information organized with a knowledge management tool in conjunction with geographic information. The relational data element view may provide a relational visualization that displays data elements provided with the knowledge management tool as narrowed by the context of a user analysis. The geophysical view may provide a geographically based depiction of the same data elements using a similar context. The relational data element view and the geophysical view may be operated in coordination to maintain cohesiveness and similar context of the information displayed in the views.

Methods, data structures, and systems by which entities can efficiently discover, extend, validate and establish business relationships over a digital network are disclosed. A transitive trust system can be utilized by any number of interconnected entities in which at least two of the entities are capable of sharing information. One or more entity trust lists contain, for at least two of the entities, at least one characteristic. Each characteristic can, for example, describe or pertain to the actual or perceived dependability, reliability and/or credibility of an entity. The system also includes at least one transactional trust list that contains at least one parameter relative to an exchange between at least two of the entities through at least one degree of separation between the entities. The transactional trust list can, for example, be a listing of any type of parameters that define or describe business exchanges within a particular industry segment. The transactional trust list can also list information about the types of transactional activities that can take place and proxy actions available to cooperating entities. The system retrieves information from the entity trust list and the transactional trust list in order to provide a framework for at least two of the entities to establish relationships with one another.

Transitive trust network

A method that includes obtaining human performance related data from at least one remotely located application service provider, organizing the data into at least one metric, preparing an interpretation of the data and providing interactive, on-line access to the data and the interpretation.

Providing human performance management data and insight

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Chicago, IL, United States of America

Ryan Matthew LaSalle