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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 DSSResources.com, the Web-based knowledge repository about computerized systems that support decision making; the editor of PlanningSkills.com; 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
Editor, DSSResources.com 

Personal and organizational factors, cultural factors, decision factors, information factors and psychological factors vary among decision situations. Every decision situation can not and should not be supported with a computerized decision support system (DSS). A major alternative is to conduct a special study using some computer-based analyses. Given that some decision situations are better supported by preparing a one-time special study, what factors indicate that it is more appropriate to prepare a special study than build a decision support system?

Continue reading this classic column at http://dssresources.com/faq/index.php?action=artikel&id=26

Please cite as:

Power, D. J. "What factors indicate a special study is more appropriate than a DSS?" Decision Support News, Vol. 16, No. 25, December 27, 2015 at URL http://dssresources.com/newsletters/410.php

Posted December 27, 2015 11:41 AM
Permalink | No Comments |
by Daniel J. Power
Editor, DSSResources.com 

Data mining is a data analysis innovation first discussed in the 1990s. "Big data" and analytics has led to a renewed and expanded interest in data mining technologies. Academics tend to use the related terms Knowledge Discovery and Intelligent Decision Support Methods (Dhar and Stein, 1997) or more derogatory terms like data surfing or data dredging. In general, data mining is a group of analytical methods like neural networks, genetic algorithms, and decision trees, that help people conduct computerized searchs for patterns in a data set. Data mining is both a process and a set of tools.

Continue reading at http://dssresources.com/faq/index.php?action=artikel&id=39

Please cite as:

Power, D. J. "What is data mining and how is it related to DSS?" Decision Support News, Vol. 16, No. 23, November 29, 2015 at URL http://dssresources.com/newsletters/408.php

Posted November 29, 2015 10:12 AM
Permalink | 3 Comments |
by Daniel J. Power
Editor, DSSResources.com 

Academic disciplines have core concepts, the fundamental building blocks or areas of study of the discipline. In many settings concepts are defined vaguely as ideas, notions, or abstractions. A scientific discipline requires more formal definitions of core concepts. In the discipline variously called Information Systems, Information Technology or Management Information Systems, one group of core concepts should be types/categories of information systems. Historically, a decision support system (DSS) has been considered a type of information system. Decision support is a capability that information systems and information technology can provide.

Continue reading at http://dssresources.com/faq/index.php?action=artikel&id=15

Please cite as:

Power, D. J. "Is DSS or Decision Support a core concept in Information Systems?" Decision Support News, Vol. 16, No. 04, February 22, 2015 at URL http://dssresources.com/newsletters/387.php

Posted February 22, 2015 6:27 AM
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by Daniel J. Power
Editor, DSSResources.com 

Bad strategic business decisions lead to bad results. The consequences of implementing the decision may have very negative consequences for the organization. Poor or bad decisions may result from process, individual or situational factors. Paul Nutt (1996) concluded "vast sums of money are spent to make decisions that realize no ultimate value for the organization and managers make the same mistakes over and over again as they formulate the decisions." Can improved decision support and analytics make a difference?

Continue reading at http://dssresources.com/faq/index.php?action=artikel&id=318

Please cite as:

Power, D. J. "What are examples of bad strategic business decisions?" Decision Support News, Vol. 16, No. 01, January 11, 2015 at URL http://dssresources.com/newsletters/387.php

Posted January 11, 2015 6:50 AM
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by Daniel J. Power
Editor, DSSResources.com 

Data volume is expanding rapidly, data variety is increasing and is coming from new sources, and data velocity or speed of capture, transmission and processing faster and the need for real-time data is more common. The advent of expanded data sources has led to new interest in analyzing data and exploiting "big data" -- whatever that colorful phrase means to you. More data is the reality in organizations and managers want to know how the many new data sources can be used to benefit the organization. Use cases document how specific data sources can solve real needs for facts in making decisions.

Please continue reading at http://dssresources.com/faq/index.php?action=artikel&id=303

Please cite as:

Power, D. J., "What are some use cases with expanded data sources?" Decision Support News, Vol. 15, No. 26, December 21, 2014 at URL http://dssresources.com/newsletters/386.php .

Posted December 21, 2014 6:00 AM
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