taag - dataviz - gsl060413
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© 2010 Cisco and/or its affiliates. All rights reserved. Cisco Confidential 1
DataVisualization[DataViz]
© 2010 Cisco and/or its affiliates. All rights reserved. Cisco Confidential 2
What is Data Visualization (DataViz)?
• Purpose – Communication of data• Leads to better understanding through…
• Trends, outliers, relationships, correlations, etc.• Appropriate Context• It need NOT be beautiful!!• Must inform…must inform…must inform!!
• Tell a Story…• Flow• Consistency
• Color palette• Font• Naming conventions
• Annotations, legends, scales• Commentary
Characteristics Consider the Following
This is…About communicating data with deliberate purpose for:
Impact Insight Clarity Better understanding
This is NOT… Intended to make you an instant expert…
DataViz is a discipline; it takes time, practice and education to do well
A conversation about tools The end of your DataViz education Personal
© 2010 Cisco and/or its affiliates. All rights reserved. Cisco Confidential 3
Exercise 1 Find the 7’s
© 2010 Cisco and/or its affiliates. All rights reserved. Cisco Confidential 4
What else can hide in the data?
© 2010 Cisco and/or its affiliates. All rights reserved. Cisco Confidential 5
Hans Rosling
© 2010 Cisco and/or its affiliates. All rights reserved. Cisco Confidential 6
Why Does This Matter? – Lotus 1-2-3
© 2010 Cisco and/or its affiliates. All rights reserved. Cisco Confidential 7
MicheleEggersDirector, SAS Product Management
michele.eggers@sas.comLinkedIn
Greg HodgesDirector, Business Intelligence Product
Managementgreg.hodges@sas.com
Kevin TaylorBusiness Analyst@KevinTaylorNC
ketaylo2@cisco.comLinkedIn
Dr. DerekXiaoyu WangAssociate Director of the Charlotte
Visualization Center and Coordinator ofBig-Data Analytics of the Department of
Computer Sciencederek.xy.wang@gmail.com
Gregory LewandowskiMgr; Innovation, Metrics & Analytics
@lewandogglewando@cisco.com
Today’s Panel
Building Awareness
Data Visualization
Principles of Good Data
VisualizationAnalytics
driven Insights
What’s Next for the
Consumer?
Academia / Building Talent
Big Data
Copyr ight © 2013, SAS Inst i tute Inc. Al l r ights reserved.
Audience Q&A
Copyr ight © 2013, SAS Inst i tute Inc. Al l r ights reserved.
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