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Gene Carr's Patron Technology Blog

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July 2008. June 2008. May 2008. April 2008. March 2008. February 2008. January 2008. December 2007. November 2007. October 2007. July 22, 2008. July 17, 2008. July 08, 2008. June 26, 2008. June 25, 2008. June 02, 2008. May 29, 2008. May 19, 2008. May 13, 2008. About.

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From Shared Databases to Communities of Practice: A Taxonomy of Collaboratories

Buzz Marketing for Technology

2007). Additional information on this project and extended case studies will be published in a forthcoming book, Science on the Internet (Olson, Zimmerman, & Bos, 2007). Grudin, 1994; DeSanctis & Gallupe, 1987) has classified technology as to how well it supported different task types and different configurations of local and distant workers. The technique chosen needed to be flexible enough to both classify and describe, so elements of extreme and deviant case sampling, which pays special attention to unusual or atypical cases, were incorporated. JCMC Home.

Toward a New Knowledge Society

Buzz Marketing for Technology

Slideshow Statistics. Slide 1: Toward a Future Knowledge Society Stephen Downes VENUS Seminars Gebruary 14, 2007 Slide 2: Once upon a time there was order We had two types of knowledgeâ?¦ content author, publisher, classifier) Distributed metadata â?? © 2008 SlideShare Inc. (beta). My Slidespace. Upload. Community. Widgets. Latest. |. Most Viewed. |. Most Embedded. |. Featured. |. Most Favorited. |. Most Downloaded. |. Slidecasts. Uploading. Download not available The user has chosen not to allow download of this file. All Comments (3). downes.


Hard Data to Justify Your Marketing Automation Investment

Customer Experience Matrix

It includes five pages of properly sourced industry statistics from Aberdeen , Forrester , Gartner and SiriusDecisions. The Heart of Growing Conversion Rates," 2008): Best in Class Average % higher Inquires to Marketing Qualified Leads (MQLs) nearly 10% 3.9% Statistics include: • 16.5% These follow a standard format: use performance to classify companies as best-in-class (top 20%), average (mid 50%) and laggard (bottom 30%) companies, and then look at differences the business processes and technology. Here's a bunch. The data is a couple of years old but still valid.