Blog: Dan Power Subscribe to this blog's RSS feed!

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!

December 2014 Archives

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
Permalink | No Comments |
by Daniel J. Power
Editor, DSSResources.com 

Analysis of data should result in telling managers and sponsors stories to summarize what was found. Story telling is however an art. Some of us are born story tellers, many of us need to learn to tell stories. A story has a beginning, a middle and an end. Sometimes a story begins with the final events and then recounts how it happened. Other stories are more sequential and recount events chronologically. There are many story patterns. Data may contain a story, but analysis must reveal the story. Data often has patterns, data is not usually a random collection of observations. During analysis we do need to be careful about removing and eliminating data, removing "outliers", observations that are distant from others, can distort the story.

Continue reading at http://dssresources.com/faq/index.php?action=artikel&id=317

Please cite as:

Power, D. J. "How do you tell a 'good' story based upon data?" Decision Support News, Vol. 15, No. 25, December 7, 2014 at URL http://dssresources.com/newsletters/385.php


Posted December 7, 2014 6:15 AM
Permalink | No Comments |