RMA APPA Data Visualization aa as Effective Communication...
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Valerie Elaine Barret, Space Planner, Senior Lisa M. Keith, Principal Data Visualization as an Effective Communication Tool
Transcript of RMA APPA Data Visualization aa as Effective Communication...
Valerie Elaine Barret, Space Planner, Senior
Lisa M. Keith, Principal
Data Visualization as an Effective Communication Tool
Learning OutcomesTranslate information in a manner that captures your intended
audience.Recognize why stakeholders understand content better after
interacting with the outcomes of an analysis. Identify different tools and resources needed to create data
visualizationsDiscuss data visualization in your organization
Telling The Story
Why Data Visualization Is A Priority
Telling a Space Story for Fact Based Decision Making
A Non-Architect in an Architect’s World
People Learn and Absorb Information Differently
Educator’s RoleCollaborative Learning/Active Learning Pedagogies
www.thestorytellers.com/blog
Data Visualization DefinedTHE ART OF COMMUNICATING DATA CLEARLY + EFFICIENTLY
grasp difficult information
identify new patterns
easily analyze and reason large amounts of data at different levels
stimulate viewer engagement and attention
data visualizations are not infographics
“Excellence in statistical graphics consists of complex ideas communicated with clarity, precision and efficiency.”
Data Visualization Research Cool Infographics, Randy Klum
Beautiful Evidence, Edward R. Tufte
Visualize This, Nathan Yau
Show Me the Numbers, Stephen Few
Now You See It: Visualization Techniques for Quantitative Analysis, Stephen Few
Beautiful Data, Toby Segaran and Jeff Hammerbacher
Research Performance Analytics
Research Performance Analytics
AVERAGE PRODUCTIVITY
AVERAGE SPACE ALLOCATION
GOOD GRAPHICS REVEAL DATA
Why Interactive?
Tell me and I forget;Teach me and I remember;Involve me and I learn.
modern translation from Xun-zi (312-230 B.C.)
Why Interactive?
Reading
Listening
Viewing
Watching a Demonstration
Participating or Presenting
Simulation or Doing the Real Thing
The Learning Pyramid, National Training Laboratories
What we READ
What we HEAR
What we SEE
What we SEE & HEAR
What we SAY
What we SAY & DO
Why Interactive?
JANE MCGONIGALGame Designer
ENGAGEMENT
Super-Empowered Hopeful Individuals
Planning Visualizations
Walk Circles
Student LifeAdministration
Housing
Athletic + RecFacilities
Academics
Primary Building Uses
General Space Classifications
General Space Classifications
Planning Visualizations
Relationships
Research Performance Analytics
AVERAGE PRODUCTIVITY
AVERAGE SPACE ALLOCATION
The Right Graphic = SUCCESSFUL STORY
+10%
+17%
+6%
+12%+2%
Enrollm ent Growth Since 2010
ActivityAT YOUR TABLES, SPEND 5 MINUTES DISCUSSINGWhat areas in your organization/work could be using data
visualization?What layers of data could be made available?Are there areas that could be related to each other through data
that are not obvious but could tell a meaningful story?
SHAREInsights + Successes + Failures
Northern Arizona University Opened its doors in 1899
Flagstaff Mountain Campus-Main740 Acres39 Major Academic and Administrative Buildings41 Support Facilities22 Residential Buildings139 independent buildings
Oldest Building: Old Main, built in 1894
Newest Building: Aquatic and Tennis Center that opened in Spring 2016
Northern Arizona UniversityMountain Campus Growing Student Population
2016 total students- 22,134 (Mountain Campus Only)
39% increase in student population in 10 years
Current Projections: continued 3-4% growth per year0
5000
10000
15000
20000
25000
2006 2007 2008 2009 2010 2011 2012 2013 2014 2015 2016
TOTA
L STUDEN
TS
Student HeadcountFlagstaff Mountain Campus
+39%
Snapshot of Space on Campus- 2014
First major space study of all departments on campusEnrollment growth created space
deficits in several departments36% of campus buildings in poor
condition, due in part to lack of deferred maintenance fundingSeveral buildings under construction
and in planning stages, but not addressing all space needs
With and without data visualization
WITHData summarization is fluidAudience can quickly form their
own conclusion
WITHOUTData must be summarizedAudience must be guided to a
conclusion
Bottom-line
WITHData summarization is fluidAudience can quickly form their
own conclusionUser can explore data on their
ownAmbiguities in space are readily
identifiable
WITHOUTData must be summarizedAudience must be guided to a
conclusionData is static and difficult to
investigateAmbiguities in space are not
readily identifiable
Strategic Outlay Software / Tools
Time
People / Culture
Data / Process
How Fit is your Data?Garbage In = Garbage Out
People Resources
Expertise
Investment
Culture
Governance
Investment Process
Governance/ Infrastructure
These resources work
together!
Visualization Tools
ActivityAT YOUR TABLES, SPEND 5 MINUTES DISCUSSING
Of the four areas of resources, which are the most/least developed in your organization? Why?What resources could you re-purpose or re-focus to support data
viz and analytics for decision making?
SHAREInsights + Successes + Failures
Inspiration
Telling The Story
