Learn simple tricks to enhance reporting to make it easier to understand, and provide the actionable insight so users can spend time managing rather than reporting. Gain insight into how people interpret visual data, what memory limits are, how we make sense of objects, and how this new understanding should be used to deliver actionable insight to your dashboard and reporting users. Discover the limits of human perception and how to encode data for better perception, and learn how to use these to your advantage in creating reports and dashboards that speak clearly to users.
Field of Reporting Dreams: Build it and users will come?
1. z al
an
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ate
Field of Reporting Dreams
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How data visualization can give you an
t
erbringing and maintaining
r p
extra edgeoin
P happy users
Iain Curtain
Edgewater Ranzal
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2. Agenda
• Introduction z al
an
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• Reporting systems ate
ew
dg
• UnderstandingEthe customer
of
• Usability perty
P ro
• What makes good design
• Summary and examples
• Questions
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3. About Ranzal
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4. Customer Sample
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5. If you build it, will users come?
It depends z al
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• It depends
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• It depends
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6. Reporting Systems
• Resistance To Change an z al
te rR
wa
• Departmental Silos ge
Ed
of
rty ownership
•
ro pe
Politics over
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• Excel based
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7. Organization Maturity
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Scorecards
y of
ert Dashboards
Prop
Mgmt Reports
Operations
Foundation
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8. Organization Maturity
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Areas
w
ge
to
grow
d
o fE
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Maintain
P
current
business
operations
Area 1 Area 2 Area 3
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9. User Requirements
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Talk to users an
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• Listen to usersE d ge
y of
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• Ask why,pwhy,
P ro why?
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10. Usability
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How do users use the system
a ter
g ew
•
Ed
How do they navigate
y of
ert
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WatchPand learn
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11. Usability
z al
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How do users use the system
a ter
g ew
•
Ed
How do they navigate
y of
ert
• rop
WatchPand learn
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12. Design Examples
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13. Design Examples
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14. Design Examples
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15. Design Examples
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16. Good design concepts
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Memory limits an
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• Encoding data Ed gerapid perception
for
of
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Gestalt rprinciples of perception
•
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17. Memory Limits
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Iconic memory an
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• Short term memory Ed
of
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Long term pe memory
•
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18. Data Encoding
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19. Data Encoding
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20. Gestalt Principles
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Proximity
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• Enclosure
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21. Gestalt Principles
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nz
• Closure
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d ge
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• Connection
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22. Applying concepts
• Focus on the value add you nzal showing
are
Ra the data
ter
by organising and minimising
wa
shown. ge
f Ed
yo
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Arrange information in a way that makes
rop
•
sense, P
making sure that the important
data stands out.
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23. Edward R Tufte
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24. Data Ink Ratio
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25. Chart Junk
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26. Chart Junk
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27. Chart Junk
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28. Chart Junk
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29. Chart Junk
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30. Colin Ware
z al
an Colin Ware
rR
ate for Design, 2000
Information Visualization -
ew
Perception
dg
f E “We can easily see patterns
t yo
er
rop
presented in certain ways, but if
P they are presented in other
ways they become invisible.”
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31. Colin Ware
z al
Ran Colin Ware
VisualrThinking for Design,
ate
ew 2008
E dg
y of “…at any given instant, we
ert
rop
apprehend only a tiny amount
P of the information in our
surroundings …”
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32. Colin Ware
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• r Color
ate
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f Ed
rt yo
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• Form
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33. Colin Ware
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• r Position
ate
g ew
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rt yo
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• Motion
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34. Stephen Few
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35. Stephen Few
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36. How does this help us?
Simplify z al
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Simplify o fE
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• Simplify
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37. Examples
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38. Examples
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39. Design Examples
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40. z al
a n
REdward R Tufte
er
tThe Visual Display of
wa Information, 1983
ge
Quantitative
f Ed
yo
rt “Graphical excellence is that which
ro pe
P gives the viewer the greatest
number of ideas in the shortest time,
with the least ink in the smallest
space.”
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41. Questions
z al
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d ge
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Iain Curtainpe rty
P ro
Senior Consultant
icurtain@ranzal.com
202 683 0874
ranzal.com
thinsliced.wordpress.com
ranzal.wordpress.com/
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42. More Info
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• Usability an
rR
http://uxmag.com/
w ate
d ge
Stephen Fewo fE
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•
ro pe
http://www.perceptualedge.com/
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• Edward Tufte
http://www.edwardtufte.com
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