Thoughts on Visualization

Transcript

1. Visualizing (Financial) Data Alberto Conti & Anne Gonnella JWST Innovation

   Team
2. None

3. “Data visualization is just a tool, but good data visualization

   takes the burden of effort off the brain and puts it on the eyes” Stephen Few

4. “When I am working on a problem, I never think

   about beauty... but when I have finished, if the solution is not beautiful, I know it is wrong.” Richard Fuller

5. “Visualization allows information to be derived from data, i.e. we

   look at the picture and gain insight” Anne Gonnella
6. None

7. 45895549723354895167454897975487 98764668733649431149741356866545 34657983567567234437354567334357 53373454494932197945487791231255 79147378448996814571897185295249

8. 45895549723354895167454897975487 98764668733649431149741356866545 34657983567567234437354567334357 53373454494932197945487791231255 79147378448996814571897185295249

9. TELL A STORY

10. From Data to Stories 1. Data + People with knowledge

    of the data 2. Compiled and presented in one place 3. You reveal the story within the data 4. Automate 5. Make it interactive: users explore and find their stories

11. 1. Data + People with knowledge of the data

12. 2. Compiled and presented in one place Congratulations on a

    great 1st step!

13. 3. You reveal the story within the data

14. 4. Automate

15. 4. Automate

16. 4. Automate

17. None

18. 5. Make it interactive so that users can explore and

    find new stories Zillow NYTimes

19. TELL A STORY

20. Next Steps 1. Take the PMO monthly and make into

    an infographic 2. Automate the creation of the PMO monthly infographic 3. Move the PMO monthy to a web dashboard
21. None

22. Next Steps: Implementation We need to match a few people

    with different skills Someone who understands the data and the story it tells (PMO) Someone with the skill to interpret that using visualizations (JIT) Someone with the technical ability to automate this and make a dashboard (Chad is working on a dashboard now) has