Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: Methods and systems that compute an efficiency coefficient of a set of virtual machines (“VMs”) running in a cloud-computing facility are described. The set of VMs may be a collection of VMs that form a VDC or the set of VMs may be a subset of a larger set of VMs that comprises a VDC. The efficiency coefficient is a metric that may be used to evaluate effective use of cloud-computing facility resources by the set of VMs. The efficiency coefficient is calculated based on ideal and actual cumulative cost of the set of VMs utilization of cloud-computing facility resources. As a result, the efficiency coefficient may also be used to assess cost effective use of cloud-computing facility resources by the set of VMs.

Abstract: Methods and systems that compute an efficiency coefficient of a set of virtual machines (“VMs”) running in a cloud-computing facility are described. The set of VMs may be a collection of VMs that form a VDC or the set of VMs may be a subset of a larger set of VMs that comprises a VDC. The efficiency coefficient is a metric that may be used to evaluate effective use of cloud-computing facility resources by the set of VMs. The efficiency coefficient is calculated based on ideal and actual cumulative cost of the set of VMs utilization of cloud-computing facility resources. As a result, the efficiency coefficient may also be used to assess cost effective use of cloud-computing facility resources by the set of VMs.

Abstract: Tools and techniques to develop case management application software are disclosed. In various embodiments, a definition is provided via a visual tool of entities and processes required to be included in a case management workflow. On receiving the definition, a processor is used to generate programmatically, based at least in part on the definition, a model of at least a portion of a case management software application to implement the workflow. The processor is used to generate software code automatically for the case management software application, based at least in part on the model.