visualization periodic chart

Courtesy of Lorene Kenard and as we discussed at last night's meeting...
A Periodic Table of Visualization Methods http://www.visual-literacy.org/periodic_table/periodic_table.html

Mouse over each box to see an example of each method.

November 9th meeting: KM Metrics Roundtable

Please join us for a roundtable discussion on the topic of knowledge management measures and metrics. Purvi Kadakia, from Deloitte Consulting, will share how they currently use KM metrics as one approach to measuring the value of knowledge management. We encourage anyone who currently has this figured out or has a point of view related to KM metrics to bring forth their methods and ideas to share as well. We know from several past presentations on this topic that it’s always an area that sparks good conversation and debate.

Purvi Kadakia has been working in the area of metrics for knowledge management for 4 years. Having invested significant time and effort in the front- and back-end (using primarily Omniture) to enable these metrics, Purvi will share her experience with the technology that supports these metrics as well as examples of the end product and how it has evolved and matured.

October 12th Meeting: Knowledge Management at Allstate

Join us October 12th when Patricia Kelly will speak to us about Knowledge Management at Allstate.

Patricia is the Enterprise Architect for content management, collaboration, search, taxonomy, and social computing. Pat came to Allstate’s Northbrook, Illinois campus in 2001 to work on the enterprise portal acquisition team and has since been a founding member of the enterprise Knowledge Management and Content Management teams.

A technical communications consultant for many years, Patricia has provided content architecture assistance for a variety of companies including Motorola, Chicago Title, Abbott Labs and Ford Motor Company. Patricia is a member of Content Management Professionals and the Society for Technical Communications.

Presentation: Practical Dos and Don'ts of Enterprise Prediction Markets

The slides presented during our September meeting, "Practical Dos and Don'ts of Enterprise Prediction Markets" are now available.

Practical dos and don'ts of enterprise prediction markets

View more presentations from KM Chicago.

September 14th Meeting: Practical Dos and Don'ts of Enterprise Prediction Markets

Rebecca and Robin will deliver a presentation that includes practical dos and don'ts of enterprise prediction markets. They will share their thoughts on what makes it work and why as a medium for predicting the future, from the “father of prediction markets,” as well as success factors based on case studies that Consensus Point has experience with in implementing prediction markets technology into client organizations.

Rebecca Whitehead Munn is the Senior Vice President of Sales at Consensus Point, a prediction markets technology company.

Dr. Robin Hanson is the Chief Scientist at Consensus Point and is considered the “father of prediction markets.” At Consensus Point, he advises on innovative technologies and development of prediction markets, and consults with customers on market design, best practices and quantitative analysis. Dr. Hanson pioneered the field in 1988 as the first person to write in detail about using markets to improve forecasts and inform decisions. In 1990, he led the first internal corporate market.

Dr. Hanson, associate professor of economics, George Mason University, and research associate at Oxford University, received his Ph.D. in social science from California Institute of Technology and masters in physics and masters in the philosophy of science from University of Chicago. Robin has diverse research interests, with papers on spatial product competition, health incentive contracts, group insurance, product bans, evolutionary psychology and bioethics of health care, voter information incentives, incentives to fake expertize, Bayesian classification, agreeing to disagree, self-deception in disagreement, probability elicitation, wiretaps, image reconstruction, the history of science prizes, reversible computation, the origin of life, the survival of humanity, very long term economic growth, growth given machine intelligence, and interstellar colonization. “I also plan to continue to pursue my core areas of trying to understand better why we disagree, and trying to construct idea futures”