Trivadis Techevent presentation about Tableau 10.09.2016

1. BASLE BERN BRUGG DÜSSELDORF FRANKFURT A.M. FREIBURG I.BR. GENEVA
HAMBURG COPENHAGEN LAUSANNE MUNICH STUTTGART VIENNA ZURICH
Data Analytics and Visualisation with
Tableau
Gergely Szecsenyi
Wien-BI

2. Agenda
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1. What is Tableau
2. Versions of Tableau
3. Features
Data Sources
Modules
File Types
Data Roles
4. Lab – Visa Applications
5. Lab – Web Data Connector
6. Whats next?
7. Thank you!

3. What is Tableau?
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Tableau is a Rapid Data Analysis tool
Developed by Tableau Software Inc
Stanford University, 2003
3000 employee, 650Mio USD
Tableau supported the Wikileaks with a Visualisation Software for Wikileaks
documents

4. Pros and cons
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Pros:
– Easy to learn, hard to master
– Modern, intuitive UI (pretty charts, good colors, fast application)
– Easy to adopt to the system
– Support additional data sources with Web Data Connector
Cons:
– Built in Analytical functions are limited
– R libraries are not supported directly, only when the Rstudio is running in the
background

5. Tableau Functions
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Data Analytics
– Built in analytical functions, analytical visualisations
– Can read from analytical files (for example rdata)
– Supports aggregate calculations
Data Visualisation
– Chart support,
– Openstreetmap integration
– Recognise Geographical data

6. Analytical functions
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Forecast
– Support 8 forecast algorithm
– The „best“ is selected automatically
Trend Line
– Searching for correlation between dimensions
– Predection
– Trend line types are linear, logaritmic, exponential, logaristics

7. Visualisation functions
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Manual and computed sorting
Creating additional groups of data
Annotations
Multidimensional hierarchies
Disable / enable the update of data views (better performance)

8. Customers of Tableau
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Google
NASA
Harvard
Microsoft
NSA
1000‘s more

9. Versions of Tableu
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Tableau Desktop
Create
Tableau Server
Share - Web
Tableau Reader
Share - Local
+ business intelligence
solution scales to
organizations of all sizes
+ share visual analytics with
anyone with a web browser
+ publish interactive analytics
or dashboards
+ share visualizations &
dashboards on the desktop
+ filter, sort, and page
through the views
+ “Acrobat for Data”
+ free download
+ ad hoc analytics,
dashboards, reports,
graphs
+ explore, visualize, and
analyze your data
Tableau Public
Share - Everyone
+ create and publish
interactive visualizations
and dashboards
+ embed in websites and
blogs

10. Components of Tableau
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With the following components
– Connection component: supports more than 40 file formats, database servers
– Data Interpreter: Analyse and clean the source data
– Workbook
– Worksheet
– Dashboard
– Story

11. Workbook, worksheet, story
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Each workbook contains worksheets, dashboards and stories
Worksheet is where you build views of your data by dragging and dropping
Dashboard is a combination of serveral worksheets
A story is a sheet that contains a sequence of worksheets or dashboards that work
together to convey information.

12. Data Sources
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File connectorsExcel
– CSV
– Statistic Files (*.rdata, etc)
Database connectors
– Popular databases like Oracle,
MSSQL, MySQL
– New technoligies like Spark, Hadoop
Hive, etc.
Community connectors with
Web Data Connector
– Runkeeper
– Reddit
– Elasticsearch

13. Tableau File Type
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Tableau Workbook (.twb)
– Second level
Tableau Packaged Workbook
(.twbx)
– Second level
Tableau Datasource (.tds)
– Second level
Tableau Packaged Datasource
(.tdsx)
– Second level
Tableau Data Extract (.tde)
– Second level
Tableau Bookmark (.tbm)
– Second level
Tableau Map Source (.tms)
– Second level
Tableau Preferences (.tps)
– Second level
Others like tlr, tlf

14. Separated data roles
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Data roles are selected automatically
Dimensional columns
– Qualitive, categorical informations
Measures
– Quantitive values, numeric variables

15. Name Presentation16 5/14/2017
Lab – Visa applications

16. Name Presentation17 5/14/2017
Lab – Web Data Connector

17. Whats next?
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This was a T-1, Technology 1 session
Next session could be a T-2 session, about:
• Working with R in Tableau
• Working with Tableau Server
• Comparing the forecast algoriths which are used in Table
• With 2-3, but very enthusiastic participants

18. Gergely Szecsenyi
Senior BI and BigData Consultant
gergely.szecsenyi@trivadis.com
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