From Concept to Visualization with Actionable Data
Anyone can make a pretty bar graph, but can you make sound decisions based on what your development staff currently provides? How do you turn a flashy concept into an actionable visualization? Can you see the end result? Will your ideas become reality? Do you have the vision and drive to figure out how to get from today to tomorrow before it becomes yesterday?
American mathematician John Tukey once said, "The greatest value of a picture is when it forces us to notice what we never expected to see." What value do you see in your data? And what ideas do you have when you see it? Learn how you can capitalize on your ideas and turn them into reality by blending the internal with the external, leveraging them into a cohesive strategy for both the short term AND the long term. See the five "Stages of the Spectrum" in action while discovering the difference between impact and influence, and how that plays into making data actionable.
Outline/Structure of the Talk
To elaborate on the above "promotional teaser" description, this is a high-level outline that forms the framework of my presentation: The Five Stages of the Spectrum (along the way from concept to reality) are...
1. Conception (Start the RACE) - key word: Articulate
2. Inception (Make the CASE) - key word: Advocate
3. Perception (Motivate the BASE) - key word: Educate
4. Inspection (Give it some SPACE) - key word: Investigate
5. Direction (Put it in PLACE) - key word: Effectuate
The participant will...
- understand and recognize the five stages of visualization spectrum
- learn how to leverage these steps into a cohesive visualization strategy
- discover the difference between impact/influence and how that plays into making data actionable
- ascertain how the four-step iterative implementation cycle works: Deploy --> Discover --> Discern --> Develop
Professionals who wish to ensure the graphs and data visualizations they create are actionable. Decision makers who desire to know the best practices to ensure their data helps make a decision, answer a question, or solve a problem.
Prerequisites for Attendees
They should be prepared to understand the importance of actionable data.