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Dan Power

Greetings to all of my friends who work in the area of computerized decision support. This blog is a way for me to share stories from my encounters related to decision support, to comment on industry events, and to comment on other blogger's comments, especially those of my friends on the Business Intelligence Network. I'll try to state my opinions clearly and provide an old professor's perspective on how computers and information technology are changing the world. Decision making has always been my focus, and it will be in this blog as well. Your comments, feedback and questions are welcomed.

About the author >

Daniel J. "Dan" Power is a Professor of Information Systems and Management at the College of Business Administration at the University of Northern Iowa and the editor of, the Web-based knowledge repository about computerized systems that support decision making; the editor of; and the editor of DSS News, a bi-weekly e-newsletter. Dr. Power's research interests include the design and development of decision support systems and how these systems impact individual and organizational decision behavior.

Editor's Note: More articles and resources are available in Dan's BeyeNETWORK Expert Channel. Be sure to visit today!

by Daniel J. Power

A person-machine interface is central to the effective use 
of a computerized system like a decision support system (DSS). 
The user interface (UI) shapes the user experience (UX). 
Decision support application developers must be kinowledgeable 
about user interface design concepts and principles. This article 
discusses what it means to elicit values in the context of 
building a model-driven DSS, reviews three approaches for 
eliciting values, and then proposes some hypotheses and design 
guidelines for a DSS interface design that is "best" for 
eliciting values.

Please continue reading this classic column at

Power, D. J. "What DSS interface design is 'best' for eliciting values" Decision Support News, Vol. 15, No. 17 August 17 2014 at URL

Posted August 17, 2014 9:00 AM
Permalink | No Comments |
by Dan Power

There are many "kinds" of decision support for diverse decision making 
situations. Both IS/DSS software designers and managers should ask about 
appropriate decision support for a situation. Decision support analysts 
and designers should know enough to answer the question given the facts 
about the decision making situation. The "kind of DSS" needed is a 
generic question. If we analyze a business decision as a situation, 
abstractly we can define elements like a decision maker, impacted parties, 
the decision setting, and the business environment. We can also analyze a 
specific decision at a specific time and identify the specific decision maker, 
the impacted parties with specific characteristics, the specific setting, 
the decision content, and the interpersonal dynamics that were occurring. 
We can view the situation from the point of view of the specific decision 
maker, a specific stakeholder, an interest group, or an outside observer. 
Let's explore a specific scenario and review questions or criteria to evaluate 
an array of situations. A number of years ago, "Jimmy" posted a decision 
support scenario and asked this question.

Continue reading this classic column at

Power, D. J. "What kind of DSS does Mr. X need?" Decision Support News, Vol. 15, No. 16, August 3, 2014 at URL

Posted August 3, 2014 7:08 AM
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Predictive "natural" laws provide some comfort in a complex, volatile and uncertain world. The "laws" simplify and make sense of otherwise complex phenomena. Gordon Moore's Law (1965) has provided that type of comfort to many technologists for almost 50 years. Moore, co-founder of Intel Corporation, made a significant observation about computing. So what is Moore's Law and how has it impacted our thinking about decision support?

Continue reading at

Please cite as:

Power, D. J. "How has and will Moore's Law impact computerized decision support?" Decision Support News, Vol. 15, No. 12, June 8, 2014 at URL

Posted June 8, 2014 9:19 AM
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by Daniel Power

Since the early 1950s, much has been written about project management. This literature prescribes generic steps and issues associated with a broad class of projects. In general, a project is a discreet, goal-oriented task or endeavor. A decision support project has a more specific goal of supporting decision making, but there are many ways to do that using a variety of technologies. A decision support project varies in terms of what decision will be supported, what decision makers will use the system, when and how it will be used and what type of decision support will be provided. Also, the technology solution may be poorly understood. Decision support projects are often hard to structure and manage. Moving from an informal exploration of a suggestion for support to a formal project is an important step.

Please cite as:

Power, D. J. "How should decision support projects be managed?" Decision Support News, Vol. 15, No. 10, May 11, 2014 at URL

Posted May 13, 2014 6:02 AM
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by Daniel Power

For at least one hundred years, warehousing has referred to the short- or long-term storage of items in a specially designed facility. Originally this general definition described the storage of inventory and other physical items. In the early 1990s, Bill Inmon advocated creating specialized data warehouses for decision support applications. The term data warehousing refers to the process of creating and maintaining a data warehouse.

Continue reading at

Please cite as:

Power, D. J. "What are the basics of data warehousing?" Decision Support News, Vol. 15, No. 9, April 27, 2014 at URL

Posted April 27, 2014 10:05 AM
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