Data Management and Visualization with Tableau · 3/3/2015  · Data Management and Visualization...

Data Management and Visualization with Tableau

Sarah Anne Murphy, Ohio State University

March 3, 2015

Webcast Series

• March 3, 2015: Sarah Anne Murphy, Ohio State University

• March 10, 2015: Jeremy Buhler, University of British Columbia

• March 17, 2015: Rachel Lewellen, University of Massachusetts Amherst

• April 21, 2015: Discussion and Q&A

Martha Kyrillidou Senior Director of

Statistics and Service Quality Programs

Association of Research Libraries

Sarah Anne Murphy

Coordinator of Assessment

and Associate Professor Ohio State University

What is big data?

Every day, we create 2.5 quintillion bytes of data — so much that 90% of the data in the world today has been created in the last two years alone. This data comes from everywhere: sensors used to gather climate information, posts to social media sites, digital pictures and videos, purchase transaction records, and cell phone GPS signals to name a few. This data is big data.

http://www-01.ibm.com/software/data/bigdata/what-is-big-data.html

Retrieved March 3, 2015

Business Intelligence and Analytics Platforms by Gartner

Successful data discovery

the gold standard being Tableau

<http://www.gartner.com/technology/reprints.do?id=1-2AD8O9T&ct=150223&st=sb>

Tableau @ The Ohio State

University Libraries

Tableau @ The Ohio State University Libraries

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3 General Benefits of DataViz 1.  Great visualizations are efficient; 2.  Visualizations can help groups

achieve more insight into the nature of a problem and discover new understanding; and

3.  Great visualizations create a shared view of a situation and align folks on needed actions.

John Sviolkla, “Swimming in Data? Three Benefits of Visualization,” Harvard Business Review Blog Network, December 4, 2009..

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Why Tableau? •  Shifts ownership of creative analytic

work from expert or “techie” to the average user.

•  Enables the average librarian to gather and analyze data in real-time – in concert with thought process.

•  Allows librarians to explore, analyze, and share data interactively.

•  Supports data-informed decision-making and a culture of assessment.

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Why Tableau? Why Not Excel? Access? •  One size does not fit all •  Select tool appropriate for the

situation (Tableau, Excel, Access, SPSS, SAS, R)

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Why Tableau? “In terms of generating useful, multidimensional visual analysis, it’s like going from an Etch-A-Sketch to Industrial Light and Magic.”

-  CFO Magazine (August 2007)

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Dashboards •  Tableau Public – Institutional Data

•  ARL Statistics

•  Tableau Public – Operational Data •  Gate Count •  Research Services Dashboard (ie. LibAnswers)

•  Tableau Public – Library Programming

•  Human Trafficking Collections

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http://go.osu.edu/ARLStatistics

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http://go.osu.edu/ARLStatistics

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Highlight Action

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http://go.osu.edu/GateCount

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http://go.osu.edu/GateCount

Quick Filter

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http://go.osu.edu/OSUL_ResearchServicesDashboard

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Highlight Action

http://go.osu.edu/OSUL_ResearchServicesDashboard

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http://go.osu.edu/OSUL_ResearchServicesDashboard

Filter Action

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http://go.osu.edu/OSUL_ResearchServicesDashboard

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http://go.osu.edu/OSUL_ResearchServices

•  Blends data from LibAnswers and previous incarnations of the OSU Libraries’ Ask Database

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http://u.osu.edu/tuesdaysatthompson/learn-more/learn-more/

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http://u.osu.edu/tuesdaysatthompson/learn-more/learn-more/

Click on Women’s

rights

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http://u.osu.edu/tuesdaysatthompson/learn-more/learn-more/

Click on Women’s

rights

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http://u.osu.edu/tuesdaysatthompson/learn-more/learn-more/

Hidden Table

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http://u.osu.edu/tuesdaysatthompson/learn-more/learn-more/

Click Title

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http://u.osu.edu/tuesdaysatthompson/learn-more/learn-more/

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Dashboards •  Tableau Desktop – Operational Data

•  ILLIAD Borrowing •  Special Collections Deflected Titles •  Librarian Profiles

•  Tableau Public – Fun •  Thompson Library Books

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ILLIAD(AllBorrowing)2010-

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ILLIAD(AllBorrowing)2010-

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ILLIAD(AllBorrowing)2010-

• Data blended from ILLIAD, Sierra, and other sources

•  Librarians assigned to user department •  User department not a good surrogate for

interdisciplinary research areas

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Service Profiles for Subject Librarians

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Service Profiles for Subject Librarians

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QUESTIONS?

Sarah Anne Murphy, MLS, MBA Coordinator of Assessment

University Libraries 221C Thompson Library, 1858 Neil Avenue Mall,

Columbus, OH 43210 614-247-7236 Office

murphy.465@osu.edu u.osu.edu/murphy.465/

If you are using Tableau or other data analytics platforms, please join and post your examples in

arl-assess@arl.org

ARL-ASSESS Google group

Thank you