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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

LinkedIn

Gregory LewandowskiMgr; Innovation, Metrics & Analytics

@lewandogglewando@cisco.com

LinkedIn

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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