Abstract: Methods and systems disclosed herein relate generally to evaluating resource loads to determine when to transform queues and to specific techniques for transforming at least part of queues so as to correspond to alternative resources.

Abstract: An embodiment may involve defining a process by first and second process design applications, wherein the process includes a set of stages; receiving, by a process visualization application, a reference to a parent entry and a definition of the process referencing the parent entry; based on the parent entry, identifying a first transformer class associated with the first process design application and a second transformer class associated with the second process design application, wherein the individual classes contain executable functions; converting an output of the first and second process design applications in a first configuration into a second configuration based on a first transformer class associated with the first process design application and a second transformer class associated with the second process design application, wherein the second configuration is accessible to the process visualization application; generating a display of the process in a hierarchical arrangement, wherein the hierarch

Abstract: An embodiment may involve defining a process by first and second process design applications, wherein the process includes a set of stages; receiving, by a process visualization application, a reference to a parent entry and a definition of the process referencing the parent entry; based on the parent entry, identifying a first transformer class associated with the first process design application and a second transformer class associated with the second process design application, wherein the individual classes contain executable functions; converting an output of the first and second process design applications in a first configuration into a second configuration based on a first transformer class associated with the first process design application and a second transformer class associated with the second process design application, wherein the second configuration is accessible to the process visualization application; generating a display of the process in a hierarchical arrangement, wherein the hierarch

Abstract: Methods and systems disclosed herein relate generally to evaluating resource loads to determine when to transform queues and to specific techniques for transforming at least part of queues so as to correspond to alternative resources.

Abstract: An embodiment may involve a definition of a process, wherein the process is referenced by a parent entry, wherein the process includes a set of stages, wherein the stages in the set of stages are respectively associated with sets of activities, and wherein a process design application was used to define the process. The embodiment may also include one or more processors configured to: (i) receive a reference to the parent entry; (ii) identify a transformer class associated with the process design application, wherein the transformer class converts output in a first configuration related to the process design application to input in a second configuration; (iii) receive, from the transformer class, data related to the process in the second configuration; and (iv) generate a graphical user interface that displays the process and the set of stages in a hierarchical arrangement.

Abstract: Methods and systems disclosed herein relate generally to evaluating resource loads to determine when to transform queues and to specific techniques for transforming at least part of queues so as to correspond to alternative resources.

Abstract: Methods and systems disclosed herein relate generally to evaluating resource loads to determine when to transform queues and to specific techniques for transforming at least part of queues so as to correspond to alternative resources

Abstract: Methods and systems disclosed herein relate generally to evaluating resource loads to determine when to transform queues and to specific techniques for transforming at least part of queues so as to correspond to alternative resources.

Abstract: An embodiment may involve a definition of a process, wherein the process is referenced by a parent entry, wherein the process includes a set of stages, wherein the stages in the set of stages are respectively associated with sets of activities, and wherein a process design application was used to define the process. The embodiment may also include one or more processors configured to: (i) receive a reference to the parent entry; (ii) identify a transformer class associated with the process design application, wherein the transformer class converts output in a first configuration related to the process design application to input in a second configuration; (iii) receive, from the transformer class, data related to the process in the second configuration; and (iv) generate a graphical user interface that displays the process and the set of stages in a hierarchical arrangement.

Abstract: Methods and systems disclosed herein relate generally to evaluating resource loads to determine when to transform queues and to specific techniques for transforming at least part of queues so as to correspond to alternative resources

Abstract: Methods and systems disclosed herein relate generally to evaluating resource loads to determine when to transform queues and to specific techniques for transforming at least part of queues so as to correspond to alternative resources.

Abstract: Methods and systems disclosed herein relate generally to evaluating resource loads to determine when to transform queues and to specific techniques for transforming at least part of queues so as to correspond to alternative resources

Abstract: Methods and systems disclosed herein relate generally to evaluating resource loads to determine when to transform queues and to specific techniques for transforming at least part of queues so as to correspond to alternative resources.

Abstract: Methods and systems disclosed herein relate generally to evaluating resource loads to determine when to transform queues and to specific techniques for transforming at least part of queues so as to correspond to alternative resources

Abstract: Methods and systems disclosed herein relate generally to evaluating resource loads to determine when to transform queues and to specific techniques for transforming at least part of queues so as to correspond to alternative resources.

Abstract: Methods and systems disclosed herein relate generally to evaluating resource loads to determine when to transform queues and to specific techniques for transforming at least part of queues so as to correspond to alternative resources

Abstract: Methods and systems disclosed herein relate generally to evaluating resource loads to determine when to transform queues and to specific techniques for transforming at least part of queues so as to correspond to alternative resources.

Abstract: Methods and systems disclosed herein relate generally to evaluating resource loads to determine when to transform queues and to specific techniques for transforming at least part of queues so as to correspond to alternative resources.

Abstract: With the widespread use smartphones, sensors, connected devices the volume of data generated by users is staggering. Cloud based systems allow the statistical evaluation of user data which is vital for analyzing trends but privacy remains a major concern. What's needed is a system that establishes trust by providing the user full control over his data by specifying what parts of the data, how, when and for how long is shared with a particular program sponsor or an ecosystem partner that can improve the outcomes of the program. While this will set the stage to reward each user for the relevant events and data that they collect., the key to making this a reality is establishing a system that also provides the convenience of a single marketplace for the user to engage multiple sponsors who may be interested in the user's data and for the program sponsors to engage multiple ecosystem partners that can improve program outcomes.