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Stephen Few - Visual Business Intelligence Workshop

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Stephen Few

The sight is the most important sense we have for input of information. Visualization of data is therefore one of the most effective tools we have. Choosing the right visualization form is not intuitive. It must be learned and requires training and experience to be good.

Stephen Few has over 25 years experience in information design
and visualization. He teaches at University of California, Berkeley. He established his own company Perceptual Edge  in 2003 to teach others to visualize information for effective analysis and communication. Stephen Few arranges his workshops around the world and are known to be among the top in the field of Visual Business Intelligence.

The art of visualization, i.e communicate a message, is to manage to show what's important, while avoiding noise!

 

Individual Registrations

We recommend to attend all three days but if only one or two days are more suitable for you the price per day is NOK 5.500,-.

You can register online for all 3 courses by clicking on the "Registration" button or you may also register by phone by calling +47 911 95 337, Training Manager Bente Leirvik

 

Registration Fee and Discounts for 3 days workshop:

Duration      Price after August 15 Early bird fee until August 15 Group Fee (2+)
3 days NOK 16 500,- NOK 13 500,-  NOK 12.000,-
Publikum

The ability to communicate quantitative information effectively is not intuitive; it requires a set of skills that must be learned. Most quantitative information is presented in tables and graphs. Unfortunately, most are poorly designed—often to the point of misinformation. Why? Because almost no one, including specialists such as financial analysts and business intelligence professionals, have been trained in effective chart design.
Mål

Show Me the Numbers: Table and Graph Design , September 19th

This full-day course will teach you how to effectively communicate quantitative business data using tables and graphs. You will learn how to select the appropriate medium of communication (table vs. graph, and which type) and how to visually design each component to express your message clearly and compellingly.

All attendees will receive a copy of the book Show Me the Numbers: Designing Tables and Graphs to Enlighten.

 

Information Dashboard Design , September 20nd

Dashboards offer an exciting new way to provide people at a glance with the critical information they must monitor to do their jobs. This full-day course reaches past the hype to give you the unique design skills required to build dashboards that really work.

All attendees will receive a copy of the book Information Dashboard Design: The Effective Visual Communication of Data.

 

Now You See It: Visual Data Analysis , September 21st

Most business data analysis requires skills and practices involving the use of graphs that can be easily learned, but resources that teach them are almost impossible to find. Almost all books and courses on data analysis teach sophisticated statistical and financial analysis techniques, but only about 10% of business data analysis requires them. This full-day course is for those responsible for the remaining 90%.

All attendees will receive a copy of the book Now You See It: Simple Visualization Techniques for Quantitative Analysis.
Innhold

September 19, 2012

Show Me the Numbers: Table and Graph Design

 

Dag1.

You Will Learn To

  • Match your message to the right type of display
  • Design tables and graphs to effectively tell the stories that live in your data 
  • Recognize the common problems in dashboard design
  • Match your message to the right means of display
  • Avoid clutter and arrange data in a way that communicates clearly and at a glance

This Course Covers

1. The current state and challenges of data presentation

2. Introduction to table and graph design

a. The two fundamental challenges of data presentation

b. The characteristics of quantitative information

c. The differing characteristics and uses of tables and graphs

d. The seven common quantitative relationships in business graphs

e. Visual perception and how it applies to data presentation

f. Steps in the visual design process

g. Visual design methods for highlighting data

3. Table design

4. Graph design

a. Visual objects used to encode values in graphs, including the best uses of each

b. Matching the right visual encoding objects to the seven fundamental quantitative

relationships in graphs

c. Graph design at the component level

September 20, 2012

Information Dashboard Design

 

dag 2

You Will Learn To

  • Recognize the common problems in dashboard design
  • Match your message to the right means of display
  • Avoid clutter and arrange data in a way that communicates clearly and at a glance

This Course Covers

  1. The current state of dashboards
  2. The definition and potential benefits of dashboards
  3. The fundamental challenges of dashboard design
  4. The 13 common mistakes in dashboard design
  5. The characteristics of well-designed dashboards
  6. Steps in the dashboard design process
  7. Common dashboard information and techniques for enriching its meaning
  8. Selecting appropriate media for displaying the data
  9. An ideal library of dashboard display mechanisms

10.  The best practices of dashboard design

September 21, 2012

Now You See It: Visual Data Analysis

 

dag3.

You Will Learn To

  • Understand each of the prominent quantitative relationships and the stories they have
  • to tell (time-series, distribution, correlation, etc.)
  • Use the best graphs, visual analysis techniques, and practices for analyzing each type of quantitative relationship
  • Recognize the visual characteristics of data that are meaningful
  • Navigate through data analytically and efficiently
  • Apply the findings of information visualization research to the analysis of business data

This Course Covers

1. An introduction to visual data analysis

2. The traits of top data analysts

3. The best data for meaningful analysis

4. Visual perception and data visualization

5. Visual characteristics to look for in the data

6. Quantitative business analysis techniques by type

a. Analyzing time series

b. Analyzing rankings and parts-to-whole

c. Analyzing deviations

d. Analyzing distributions

e. Analyzing correlations

f. Analyzing multivariate profiles

g. Analyzing geo-spatial data

7. Analytical navigation

8. The critical contributions from the information visualization research community
Tid
  • 19.09. - 21.09.2012
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