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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!

September 2012 Archives

by Dan Power
Editor, DSSResources.com 

Some software vendors claim their decision support, analytics 
or business intelligence applications provide a competitive 
advantage. This broad claim is made for decision support 
applications built using many technologies, including business 
intelligence tools, business performance management software, 
data mining tools, and quantitative models. Supposedly all 
organizations that implement a vendor's solution gain a 
competitive advantage. This broad promise sounds too good to be 
true and it is not believable. Vendors need to temper claims 
with words like may, can, often or should. Exaggerated vendor 
technology optimism creates unrealistic expectations and in 
some cases contributes to technology cynicism. Computerized 
decision support, analytics and BI may and can create 
competitive advantage. 

Continue reading at 

appeared in DSS News, Vol. 13 No. 19, September 30, 2012
You may read online at http://dssresources.com/newsletters/327.php


Posted September 30, 2012 8:00 AM
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by Dan Power
Editor, DSSResources.com 

Analytics refers to quantitative and statistical analysis of data. Analytic capabilities are important in both data-driven and model-driven DSS. Analysis using quantitative and statistical tools is the focus of ad hoc and routine special studies. Various sources identify three categories of analytics: 1) reporting, 2) prescriptive, and 3) predictive. Reporting summarizes data using descriptive statistics. Prescriptive analysis uses data to inform a recommendation for action. Prediction involves causal or correlational analysis. 


appeared in DSS News, Vol. 13, No. 18, September 16, 2012

Posted September 16, 2012 6:40 AM
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by Dan Power
Editor, DSSResources.com 


Many people use computerized decision support for work and in recent years to aid in personal decision making. Identifying the targeted or intended users for computerized decision support helps differentiate the specific system. Knowing who does or will use a capability provides useful information about how the content and design of the application might or should differ. This discussion provides examples of job titles and occupations of targeted users for decision support, business intelligence and analytic systems. 

Continue reading at http://dssresources.com/faq/index.php?action=artikel&id=118

from DSS News, Vol. 13, No. 17, September 2, 2012

Posted September 2, 2012 6:45 AM
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