Integration of causal models, business process models and dimensional reports for enhancing problem solving
First Claim
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1. A computer-implemented method comprising:
- via a visual display of a first model from a plurality of models comprising a causal model, an activity model, and a dimensional report model, rendering a plurality of variables, each of said plurality of variables linked together by model element links between each said plurality of models, each model element link rendered as a link symbol, said plurality of variables comprising at least one of a process metric and a control variable, wherein;
user selection of a link symbol of a first link associated with a first variable of said plurality of variables and rendered via said first model is adapted to cause said first variable to be rendered via a second model from said plurality of models, said first link uniquely indicative of the particular model from said plurality of models to which said first link is directed;
if said second model is adapted to render a plurality of instances of said first variable, selection of said link symbol of said first link is adapted to cause a user-selectable list of said plurality of instances to be rendered; and
user selection of said link symbol of said first link is adapted to cause each instance of said first variable to be highlighted in a rendering of said second model.
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Abstract
This invention combines the modeling capabilities of causal models, business process models, and dimensional reporting to allow the locating of root causes of problems. The causal models let the user explore the effects of other parts of the system have on the process in question through accessing dimensional reports. By recording and annotating the problem solving flow, and deriving characteristics of the problem solved, future users can be assisted in other problem solving sessions. Ad-hoc reports created to aid in the problem solving can be attached in the causal model and process model for future use.
22 Citations
26 Claims
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1. A computer-implemented method comprising:
via a visual display of a first model from a plurality of models comprising a causal model, an activity model, and a dimensional report model, rendering a plurality of variables, each of said plurality of variables linked together by model element links between each said plurality of models, each model element link rendered as a link symbol, said plurality of variables comprising at least one of a process metric and a control variable, wherein; user selection of a link symbol of a first link associated with a first variable of said plurality of variables and rendered via said first model is adapted to cause said first variable to be rendered via a second model from said plurality of models, said first link uniquely indicative of the particular model from said plurality of models to which said first link is directed; if said second model is adapted to render a plurality of instances of said first variable, selection of said link symbol of said first link is adapted to cause a user-selectable list of said plurality of instances to be rendered; and user selection of said link symbol of said first link is adapted to cause each instance of said first variable to be highlighted in a rendering of said second model. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24)
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25. A computer implemented method comprising:
recording a user navigation of a plurality of user-selected instances of link symbols, each of said user-selected instances representing a model element link to a corresponding model from a plurality of models, said plurality of models comprising a causal model, an activity model, and a dimensional report model, each of said user-selected instances associated with a corresponding variable occurring in said corresponding model, each of said user-selected instances uniquely indicative of said corresponding model, selection of each of said user-selected instances adapted to cause a display to highlight each instance of said corresponding variable in said corresponding model.
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26. A computer implemented method comprising:
via a recording of a plurality of user navigation paths, each user navigation path from said plurality of user navigation paths comprising a plurality of user-selected instances of links, each of said links representing a connection to a corresponding model from a plurality of models, said plurality of models comprising a causal model, an activity model, and a dimensional report model, each of said links associated with a corresponding variable occurring in said corresponding model, rendering a user selectable list comprising a subset of said plurality of user navigation paths.
Specification