DocumentCode
54335
Title
Decision Exploration Lab: A Visual Analytics Solution for Decision Management
Author
Broeksema, Bertjan ; Baudel, Thomas ; Telea, Alex ; Crisafulli, P.
Author_Institution
IBM France Center for Adv. Studies, Univ. of Groningen, Groningen, France
Volume
19
Issue
12
fYear
2013
fDate
Dec. 2013
Firstpage
1972
Lastpage
1981
Abstract
We present a visual analytics solution designed to address prevalent issues in the area of Operational Decision Management (ODM). In ODM, which has its roots in Artificial Intelligence (Expert Systems) and Management Science, it is increasingly important to align business decisions with business goals. In our work, we consider decision models (executable models of the business domain) as ontologies that describe the business domain, and production rules that describe the business logic of decisions to be made over this ontology. Executing a decision model produces an accumulation of decisions made over time for individual cases. We are interested, first, to get insight in the decision logic and the accumulated facts by themselves. Secondly and more importantly, we want to see how the accumulated facts reveal potential divergences between the reality as captured by the decision model, and the reality as captured by the executed decisions. We illustrate the motivation, added value for visual analytics, and our proposed solution and tooling through a business case from the car insurance industry.
Keywords
business data processing; data visualisation; decision support systems; expert systems; ontologies (artificial intelligence); ODM; artificial intelligence; business domain; business logic; decision exploration lab; decision logic; expert system; ontologies; operational decision management; visual analytics solution; Analytical models; Data visualization; Decision making; Statistical analysis; Visual analytics; Analytical models; Data visualization; Decision making; Decision support systems; Model validation and Analysis; Multivariate statistics; Program Analysis; Statistical analysis; Visual analytics; Artificial Intelligence; Computer Graphics; Computer Simulation; Decision Making; Decision Support Techniques; Models, Theoretical; Operations Research; User-Computer Interface;
fLanguage
English
Journal_Title
Visualization and Computer Graphics, IEEE Transactions on
Publisher
ieee
ISSN
1077-2626
Type
jour
DOI
10.1109/TVCG.2013.146
Filename
6634184
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