Date: 6th – 8th October
Location: The Marker Hotel, Dublin 2
The Analytics Store is excited to bring Stephen Few to Dublin to deliver one of his world famous data visualisation workshops. Using material from his “Show Me the Numbers: Table and Graph Design” and “Now You See It: Visual Data Analysis” books Stephen Few will show delegates how to effectively present quantitative information so as to extract maximum advantage from their data.
About Stephen Few: Stephen Few has over 30 years of experience as an innovator, consultant, and educator in the fields of business intelligence and information design and is a leading expert in data visualization for sense-making and communication. Stephen writes the quarterly Visual Business Intelligence Newsletter, speaks and teaches internationally, and provides consulting services. Stephen Few is also author a number of books.
Who Should Attend:. This course is for anyone who works with quantitative business data as part of their job. Some key titles include:
- Analytics Professionals
- Business Intelligence Professionals
- Reporting Specialists
- Data Scientists
- Business Analysts.
“Stephen is a brilliant and effervescent teacher. His passion for his subject and his breadth of knowledge are inspiring. His crystal clear, logical, step-by-step, and interactive method of presenting is both entertaining and invigorating. Stephen Few is a rare find! I’m looking forward to sharing some of Stephen’s insights and techniques with my MBA students and continuing my own study in this richly rewarding area.”
Paula Ecklund, Professor, Duke University
“One of those enlightening presentations, at once simple, novel, and compelling.”
Paul Winsberg, Senior Director, Global 360
Every delegate will receive a complete set of Stephen Few’s books including his new publication ‘Signal’.
To get a flavour of the material covered, and to help convince someone (such as your boss) that it’s worth your while to attend this course, the articles “Rare Business Assets: Tables and Graphs that Communicate” and “The Power of Visual Analytics” might be useful.
Section 1: Show Me the Numbers -Table and Graph Design
No information is more important to most organizations than quantitative information—numbers that measure performance, identify opportunities, and predict the future. Most quantitative information is presented in tables and graphs. Unfortunately, most tables and graphs produced in organizations today are poorly designed—often to the point of misinformation. The ability to present quantitative information effectively is not intuitive; it requires visual communication skills that must be learned. Following Stephen Few’s clear precepts, communicated through examples of what works, what doesn’t work, and explanations of why, you will learn to design tables and graphs that present data clearly and drive your message home.
Section Topics Include:
- Match your message to the right type of display
- Design tables and graphs to communicate information simply, clearly, and accurately
- The current state and challenges of quantitative data presentation
- Introduction to table and graph design
- Fundamental challenges of data presentation
- Key characteristics of quantitative information
- Differing characteristics and uses of tables and graphs
- Eight common quantitative relationships featured in graphs
- Steps in the visual design process
- Visual objects used to encode values in graphs, and the best uses of each
- Matching the right visual encoding objects to the eight fundamental quantitative relationships in graphs
- Graph design at the component level
Section 2: Now You See It – Visual Data Analysis
Ninety percent of all business data analysis can be done using simple graphing techniques to discern meaningful patterns in data. The remaining 10%, which requires sophisticated statistical and advanced analytics skills, are well addressed by available resources, but where are the resources that teach the skills needed by the rest of us? Even though these skills are easy to learn and apply with proper guidance, very few people involved in analysing business data know them. This section of the workshop provides the solution.
Section Topics Include:
- Understand each of the prominent quantitative relationships and the stories they have to tell (time-series, distribution, correlation, etc.)
- 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
- An introduction to visual data analysis
- The traits of top data analysts
- The best data for meaningful analysis
- Visual perception and data visualization
- Visual characteristics to look for in the data
- Quantitative business analysis techniques by type including: Analysis of time series, rankings, parts-to-whole, deviations, distributions, correlations, multivariate profiles, and geo-spatial data.