1. Techniques for Decision-Making: Data Visualization Sam Affolter

2. Introductions Class Overview, Structure, and Expectations Pre-Test What is BI and Data Visualization Class Exercise Examples of DV Discussion of Class Project

3. Duration Retail1.5 Business Analysis (Manager)1.5 Insurance5.75 Marketing Analysis (Manager)1.75 Product Analysis3 Risk Analysis1 Finance1.5 Project Management1.5 Education8 Project Management Program1 Masters Degree2 Bachelors Degree5 Data visualization is the most interesting of the 3 Business Intelligence topics because of our ability to quickly and effectively see patterns within data and thereby communicate “Ah ha!” moments to non-analysts. Over 8 years in analytics roles 5 years training, mentoring, and teaching Built dashboards, created new metrics, and presented to all levels of business Sam Affolter www.linkedin.com/pub/samuel-affolter/a/198/991/ www.linkedin.com/pub/samuel-affolter/a/198/991/

4. Name What do you do currently? What attracted you to the Techniques for Decision Making course? What was your worst job experience?

5. Business Intelligence Data Visualization BI Overview Types of tables. When to use tables and best practices. Tables Diagrams’ place in Data Visualization (when and why) Types of diagrams Diagrams Best practices in graph design. Types of graphs and their uses. Graphing Excel and Tableau Power View and discussion of other tools. Tools for Visualization

6. Classes will consist of lecture time, multimedia exhibits, and class exercises. Participation is expected. The more interactive the lectures time is, the better for everyone. Exercises will be discussed in breakout groups with each group discussing examples with the rest of the class.

7. This is will not affect your grade! The test touches many of the topics we will be covering in this class. Two principle reasons for this test: – To give you an impression of some of the things covered. – To help me understand where the class is and how to pace course materials.

9. A set of tools that allow individuals to transform raw data into meaningful and useful information for business purposes. Traditionally focused on the use of a consistent set of metrics to measure and guide the business. Closely aligned with Business Analytics

10. 3 main divisions of Business Intelligence and Business Analytics – Data Mining (sorting through large amounts of data to retrieve relevant data) – Data Analysis (studying data to extract useful information and develop conclusions) – Data Visualization (creation and study of visual representations of data to inform and communicate)

12. Analysis – Using visualizations to gain insight. Communication – Passing a message to others. Monitoring – Tracking information about performance. Planning – Predicting and preparing for the future.

13. Job Satisfaction By Income, Education, and Age College DegreeNo College Degree IncomeUnder 5050 & OverUnder 5050 & Over Up to $50,000643793590724 Over $50,000735928863662

16.  Test markets launched

18. Infographics typically fall into the category of information design rather than data visualization.

19. Think about two examples of data visualization used in either your current or past workplace. Which of the purposes did it serve? Are there things you can think of that would have made it serve that purpose better? Share in groups.