About the Course
Business Intelligence, Data Visualization and Infographics are hot topics. As the trend of data analytics intensifies and becomes more ingrained in corporations, the need for people who can present data visually is rising.
Alberto Cairo, the Father of Infographics, introduced a premise in his recently published book, The Functional Art, that we should view visualization as a technology. He isn’t referring to its physicality, but its essence in that it is an extension of ourselves and a means for us to achieve goals.
Stephen Few, data visualization visionary and author of the seminal book on Information Dashboard Design, discusses how we are overwhelmed by information and can’t seem to find better ways to understand it. In this age of Big Data, we have vast amount of information that we have collected, but we don’t have a good way of making sense of this data and communicating its meaning to others.
This workshop will explore the world of Business Intelligence Design. We will discuss what Business Intelligence is, how it has evolved over the years, how to have a successful business intelligence implementation in your environment, and data visualization tools and techniques that will allow us to gain insight and make better use of those valuable pools of data your company has collected.
You will learn:
An Introduction to Business Intelligence
- What is Business Intelligence?
- The Evolution of Business Intelligence
- The Business Intelligence Environment
- Characteristics of Successful Business Intelligence
- A brief review of the major Business Analytics (BA) methods and tools
- Describe how online analytical processing (OLAP), data visualization, and multidimensionality can improve decision making
- Creating a Business Intelligence Center of Excellence (BICOE)
- Moving to self-service business intelligence
- Case Study: Self-Service BI
- Describe Geographical Information Systems (GIS) and their support to decision making.
- Implementation issues related to BI.
- The emergence of the Data Scientist
- Data Visualization Best Practices and Principles
- History of Data Visualization
- The challenges of presenting data
- Visual perception and data visualization
- The visual information design process
- Visual design methods for highlighting data
- Effective ways to encode quantitative information graphically
- Determining the right visual to convey your message
- Component-level graph design (colors, scales, labels, etc.)
- Dashboard design best practices
- An introduction to visual data analysis
- The best data for meaningful analysis
- 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
- A brief introduction to Infographics
- Emerging Data Visualization Technologies
This course is for anyone interested in learning how to create value with BI, how to manage BI in their organizations, and how to set up a BI Competence Center (BICC) or launch a BI initiative. Business and/or IT professionals, analysts and managers will all benefit from this course.
About the Instructor
Michael Sandberg has worked in decision support for more than 30 years and has specialized in business intelligence design since 2000. He has worked on numerous business intelligence projects in Asia, Europe, and the USA. He has developed, reviewed and enhanced designs for clients within financial services, entertainment and media, insurance, education, e-commerce and retail.
Michael held Business Intelligence Solutions Architect positions at American Express, The Walt Disney Company, AAA Insurance, and The Apollo Group (The University of Phoenix). He now works independently through Caserta Consulting based in New York providing business intelligence consultancy and education worldwide.
Michael was the 2013 Winner of the MicroStrategy Excellence in Dashboard Design, MicroStrategy World 2013, Las Vegas, NV. He was also the 2006 Winner of the MicroStrategy Best Practices in Business Intelligence – Extranet Deployment, MicroStrategy World 2006, Miami, FL.
Michael holds a Master of Science degree in Software Engineering from Southern Methodist University with an emphasis on Business Intelligence and Data Mining. He is also author of the popular data visualization blog, www.datavizblog.com.