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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 2013 Archives

What is machine data?

by Daniel Power
Editor, DSSResources.com 

Machine data can be used to provide decision support for relevant decision tasks in organizations. Machine refers to a computing machine and its associated operating system and application software. So machine data is all of the data generated by a computing machine while it operates. Companies like Splice Machine and Splunk are innovating and developing tools and methods to capture, organize and analyze machine data. Examples of machine data include: application logs, clickstream data, sensor data and Web access logs. Machine data is helping to create the "big data" phenomenon for decision support and analytics. 

Continue reading at http://dssresources.com/faq/index.php?action=artikel&id=255

Power, D. "What is machine data?" Decision Support News, Vol. 14, No. 02, January 20, 2013.

Posted January 20, 2013 8:25 AM
Permalink | No Comments |

What criteria should be used to evaluate data warehouse vendor solutions?

by Daniel Power
Editor, DSSResources.com 

Selecting a data warehouse vendor solution is an important information technology infrastructure investment. Major traditional data warehouse vendors include: IBM/Netezza, Microsoft, Oracle, SAP/Sybase, and Teradata. Of these companies, Gartner Inc. (February 2012) listed Teradata as the leader in its Magic Quadrant for data warehouse database management systems. Gartner rated Teradata ahead of Oracle and IBM on both of the key dimensions of 1) "ability to execute", a measure of market share and financial resources; and 2) "completeness of vision", a measure of product features. There are however other important standards that should be considered in a selection decision. A detailed criteria list linked to needs and objectives is useful in making a rational decision. 

Continue reading at http://dssresources.com/faq/index.php?action=artikel&id=203

Power, D. "What criteria should be used to evaluate data warehouse vendor solutions?" Decision Support News, Vol. 14, No. 01, January 06, 2013.

Posted January 5, 2013 3:57 PM
Permalink | No Comments |


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