Stephen Few, one of the world’s renowned experts and thought leaders on business analytics, quantitative techniques and data analysis, will conduct an interactive half-day seminar on how to effectively present and analyze quantitative business data on Sept. 11 at the University of Tennessee, Knoxville.
Registration is now open for the event, which will take place from 9 a.m. to noon in the Shiloh Room in the Carolyn P. Brown University Center on the UT campus. The cost is $250 per person or $195 if three or more participants attend from the same organization.
The seminar is open to the public and the UT campus community.
Few’s seminar will feature highlights from his three full-day courses on Table and Graph Design, Information and Dashboard Design, and Visual Data Analysis. Seminar topics will include:
- Effectively communicating quantitative business data using tables and graphs
- Avoiding clutter and arranging data that is communicated clearly and quickly
- Navigating data analytically and efficiently
- Applying the findings of information visualization research to the analysis of business data
To register, visit https://tiny.utk.edu/few or email Julie Ferrara at firstname.lastname@example.org.
Few founded the consultancy firm Perceptual Edge in 2003. With 25 years of experience as an innovator, consultant and educator in the fields of business intelligence and information design, he is considered a leading expert in using data visualization so that individuals can make sense of data and properly communicate it.
Few authors the quarterly “Visual Business Intelligence” newsletter and speaks, teaches and consults internationally about data visualization and communciation. In 2004, he wrote the first comprehensive and practical guide to business graphics, “Show Me the Numbers,” now in its second edition. In 2006, he wrote the first and only guide to the visual design of dashboards titled “Information Dashboard Design,” which also is now in its second edition. In 2009, he wrote the book, “Now You See It,” which was the first book written for non-statisticians about visual data analysis.