Mobile's Impact on Realitime Decision-Making and Data Visualization, Jesse Beaumont

610 views

Published on

Published in: Technology, Business
0 Comments
0 Likes
Statistics
Notes
  • Be the first to comment

  • Be the first to like this

No Downloads
Views
Total views
610
On SlideShare
0
From Embeds
0
Number of Embeds
1
Actions
Shares
0
Downloads
16
Comments
0
Likes
0
Embeds 0
No embeds

No notes for slide

Mobile's Impact on Realitime Decision-Making and Data Visualization, Jesse Beaumont

  1. 1. How Mobile Impacts Real-TimeDecision Making & VisualizationJesse BeaumontShinobiControls
  2. 2. Why Make Decisions?They are a way to drive a course of actiontowards achieving our goals
  3. 3. Quality of DecisionsOutcomes are the measure; not thedecisions themselves
  4. 4. For Example…
  5. 5. Data informs decisionsStack the odds!
  6. 6. Real-Time DecisionsReal-time decision making requires real-time data access
  7. 7. What is Mobile?Mobile Not So Much
  8. 8. Mobile Revolution• Portable• Connected• Instant Access?• Personalized?• Touch Enabled?
  9. 9. Mobile Has Changed The WorldImages reproduced with permission from :: Suwaif:: and David Boyle
  10. 10. Evolution of Mobile• Lower barrier to entry• Lower “fear factor”• End user experience feels safe• Everyone’s a digital explorer now!
  11. 11. Mobile ExpectationsUsers now expect much more:• Constant availability• Immediate response to touch• Intuitive behavior
  12. 12. How Does Mobile Help?• Portable• Connected• Instant Access?• Personalized?• Touch Enabled?
  13. 13. John Arbuthnot – The Table
  14. 14. 01000200030004000500060007000800090001629 1639 1649 1659 1669 1679 1689 1699 1709Christenings in London by YearMaleFemaleJohn Arbuthnot – The ChartStart ofEnglishCivil WarPlagueSmallpox?
  15. 15. The Original Copy & Paste?Year Male Female1671 6449 60611672 6443 61201673 6073 58221674 6113 57381675 6058 57171676 6552 58471677 6423 62031678 6568 60331679 6247 60411680 6548 62991681 6822 65331682 6909 67441683 7577 71581684 7575 71271685 7484 72461686 7575 71191687 7737 72141688 7487 71011689 7604 72671690 7909 73021691 7662 7392Year Male Female1692 7602 73161693 7676 74831694 6985 66471695 7263 67131696 7632 72291697 8062 77671698 8426 76261699 7911 74521700 7578 70611701 8102 75141702 8031 76561703 7765 76831704 6113 57381705 8366 77791706 7952 74171707 8239 76231708 8239 76231709 7840 73801710 7640 7288
  16. 16. Why Data Visualization?Data visualization is designed to:• Make data easily digestible and reachconclusions quickly• Provide context for raw dataSounds ideal for real-time decision making!
  17. 17. Data Visualization SpectrumPresentation(low skillsrequirement)Exploration(high skills requirement)
  18. 18. Mobile OpportunityUser comfort with mobile means a shifton the data visualization spectrum ispossible
  19. 19. Data Visualization For Real-Time• Need to digest data quickly to makedecisions quickly• Poor Visualizations lead to:– Poor decisions; or– Slow decisions
  20. 20. Information Overload• Form factor is a factor• Smaller screens:– Require more focused information– Shorter user journeys• Larger screens are better for exploration
  21. 21. Example
  22. 22. Not. Enough. Pixels.• Minimize chrome– Embed interaction in context– Remember discoverability• Semantic zoom / drill down• Be focused – don’t try to do too muchon each screen
  23. 23. Examples
  24. 24. Who Let the Designers Out?• Can help to:– Provide natural feel– Meet expectation– Aid discoverability• Beware: can detract from the content
  25. 25. Examples0100020003000400050006000Server 1 Server 2 Server 3 Server 4 Server 5 Server 6HTTPRequestsWebsite Load Distribution0100020003000400050006000Server 1 Server 2 Server 3 Server 4 Server 5 Server 6HTTPRequestsWebsite Load Distribution0100020003000400050006000Server 1 Server 2 Server 3 Server 4 Server 5 Server 6HTTPRequestsWebsite Load Distribution
  26. 26. What Chart?!?Pick the right chart type for your data!
  27. 27. Oh Pie Oh Pie?• Pies are ok for:– Showing parts of a whole– Indicating one dominant category• Very hard to compare slice sizes orshow approximate values
  28. 28. ExamplesSales By CountryUSAUKCanadaAustraliaOther050000100000150000200000250000USA UK Canada Australia OtherSales By CountrySales By CountryUSAUKCanadaAustraliaOther
  29. 29. Choosing the Wrong Colors• Consider accessibility & mediums (e.g.color blindness, printing, etc.)• Increase saturation to stand out• Consider avoiding biased colors• Colors are a key tool for getting themessage across
  30. 30. Examples0100020003000400050006000700080009000Server 1 Server 2 Server 3 Server 4 Server 5 Server 6HTTPRequestsWebsite Load Distribution0100020003000400050006000700080009000Server 1 Server 2 Server 3 Server 4 Server 5 Server 6HTTPRequestsWebsite Load Distribution
  31. 31. ConclusionsMobile offers a huge opportunity forimproving our decision makingMaking it happen requires care and skill!
  32. 32. ShinobiControlsOur UI controls make some of thisstuff easier…
  33. 33. Thanks For Listening!www.shinobicontrols.com@ShinobiControlsjbeaumont@shinobicontrols.com+ =

×