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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!

January 2010 Archives

A staff member at the local business magazine approached me about writing an article on decision support for managers in small businesses. I hesitantly agreed and now my deadline is approaching.  

I am contemplating discussing small scale applications built using tools like MS Excel and MS Access and hosted applications like Salesforce.com. Also, in some lines of business you can find packaged applications with some decision support capabilities.

The big problem is that in 800-1000 words it is easy to overstate the need and the possibilities. My limited experience with small businesses has focused on cost estimating applications for small manufacturing companies, bid generators for catering companies, and construction cost estimators for residential.

Customer relationship management and improved data-driven forecasting are also promising applications for many small businesses.  

I'll give this some additional thoughts in the new year. Comments, suggestions appreciated.

Posted January 1, 2010 7:28 AM
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