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Facilitating the Analysis of Immunological Data with Visual Analytic Techniques

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Decision exploration lab: a visual analytics solution for decision management.

Bertjan Broeksema¹, Thomas Baudel, Arthur G Telea

¹IBM France Center for Advanced Studies, Institute Johann Bernoulli, University of Groningen, The Netherlands andINRIA, University of Bordeaux, France.

IEEE Transactions on Visualization and Computer Graphics

|September 21, 2013

Summary

This summary is machine-generated.

This study introduces a visual analytics tool for Operational Decision Management (ODM). It helps align business goals with decisions by identifying discrepancies between models and executed outcomes.

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Area of Science:

Artificial Intelligence
Management Science
Visual Analytics

Background:

Operational Decision Management (ODM) requires aligning business decisions with organizational objectives.
Decision models, comprising ontologies and production rules, are crucial for executing business logic.
Executing decision models generates historical data on decisions made for individual cases.

Purpose of the Study:

To provide insights into decision logic and accumulated facts from executed decision models.
To identify potential divergences between the business reality described by decision models and the reality reflected in executed decisions.
To demonstrate the value of visual analytics in addressing challenges within Operational Decision Management.

Main Methods:

Developing a visual analytics solution tailored for Operational Decision Management.
Representing business domains as ontologies and business logic as production rules.
Analyzing accumulated facts from executed decision models to detect discrepancies.

Main Results:

The proposed solution offers enhanced insight into decision-making processes.
Visualizations highlight deviations between intended and actual business decisions.
The approach facilitates a better understanding of the alignment between business goals and operational outcomes.

Conclusions:

Visual analytics provides a valuable approach for understanding and improving Operational Decision Management.
The developed tooling aids in identifying and rectifying divergences in decision execution.
This method enhances the alignment of business decisions with strategic objectives.