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Combining the power
of Tableau and Teradata
2/Dec/2013 / Geert Janssen
geert.janssen@vodafone.com
Topics
1. Background information
2. Choosing a Data Discovery & Visualisation tool
3. Combining Tableau and Teradata
4. Using Tableau to make the right Business decisions
Background information
About me…
Geert Janssen
• BI Demand/Capability Manager at Vodafone NL

• Working for Vodafone since 2006 in various BI jobs

Some Facts & Figures about Vodafone NL
• Part of Vodafone Group Plc, one of the largest Telco’s in the world
• 5,3 Million connections in NL

• 2800 Employees (mainly at Amsterdam and Maastricht offices)
• 111 Vodafone Shops, 148 BelCompany shops
• Revenues/Turnover FY13: 1,873 Billion Euro
Vodafone NL BI Model
Choosing a Data Discovery
& Visualisation tool
Why we needed a Data Discovery & Visualisation tool
Growing demand from business end users for interactive and visual
data exploration, but:
• Current BI tools did not have sufficient functionality
• Current BI tools were not user friendly

• Result: increasing workload for BI teams, delivered reports triggered
new requests etc.
Reason: we were not answering the real underlying question:
What do I
need to do to
improve my
business?
Insert Confidentiality Level on title master
Target group
Data Discovery/Visualization is not for everyone. It’s mainly aimed at Business users
- With analytical skills

- With an interest to further explore and analyze data
- Without BI knowledge
Possible jobs/roles that can benefit from Data Discovery:
• Business managers
• Business analysts
• Process managers
• Marketeers
• Sales managers
• Controllers
High level requirements for a data explorer tool
• The tool has to be able to process large amounts of data quickly

• The tool has to be able to run on existing BI infrastructure (including live connection to
EDW)
• The tool should be able to retrieve and combine data from different sources
• The tool has a user friendly, intuitively designed interface

• The tool has user friendly filtering, downdrilling and slicing/dicing functionalities
• The tool has an abundance of easy to use visualization functionalities
• The tool can be used to create interactive dashboards
• Dashboards and analysis can be saved, shared and scheduled to be refreshed
• The tool has an export functionality (Excel, CSV, Picture etc.)
• The tool must be able to run on tablets (Mobile BI)
Vodafone chose Tableau as the best tool
What we liked about Tableau:
• Implementation speed
• User interface

• Great performance with huge datasets
• Excellent online learning & training material (free)
• Strong Visualisation functions
• Excellent customer support
Currently 20 Desktop licenses and >100 server interactors
Combining Tableau and
Teradata
Connecting Tableau to Teradata (or any other source)
Native Teradata connector:

• Optimized connection
• Drag & Drop querybuilder or custom SQL
Importing data vs live connection
• Importing data (extract) used for
large datasets
• Great performance, even with
modest hardware
• Extracts can be scheduled on server

• Extracts on server can be shared
Using Tableau to make
the right Business
decisions
Use case 1: 4G Network rollout planning

• Plotted revenue per
network cell on map
• Identified high value area’s
• Used this information for
rollout planning of 4G
Thank you

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Combining the power of Teradata and Tableau

  • 1. Combining the power of Tableau and Teradata 2/Dec/2013 / Geert Janssen geert.janssen@vodafone.com
  • 2. Topics 1. Background information 2. Choosing a Data Discovery & Visualisation tool 3. Combining Tableau and Teradata 4. Using Tableau to make the right Business decisions
  • 4. About me… Geert Janssen • BI Demand/Capability Manager at Vodafone NL • Working for Vodafone since 2006 in various BI jobs Some Facts & Figures about Vodafone NL • Part of Vodafone Group Plc, one of the largest Telco’s in the world • 5,3 Million connections in NL • 2800 Employees (mainly at Amsterdam and Maastricht offices) • 111 Vodafone Shops, 148 BelCompany shops • Revenues/Turnover FY13: 1,873 Billion Euro
  • 6. Choosing a Data Discovery & Visualisation tool
  • 7. Why we needed a Data Discovery & Visualisation tool Growing demand from business end users for interactive and visual data exploration, but: • Current BI tools did not have sufficient functionality • Current BI tools were not user friendly • Result: increasing workload for BI teams, delivered reports triggered new requests etc. Reason: we were not answering the real underlying question:
  • 8. What do I need to do to improve my business? Insert Confidentiality Level on title master
  • 9. Target group Data Discovery/Visualization is not for everyone. It’s mainly aimed at Business users - With analytical skills - With an interest to further explore and analyze data - Without BI knowledge Possible jobs/roles that can benefit from Data Discovery: • Business managers • Business analysts • Process managers • Marketeers • Sales managers • Controllers
  • 10. High level requirements for a data explorer tool • The tool has to be able to process large amounts of data quickly • The tool has to be able to run on existing BI infrastructure (including live connection to EDW) • The tool should be able to retrieve and combine data from different sources • The tool has a user friendly, intuitively designed interface • The tool has user friendly filtering, downdrilling and slicing/dicing functionalities • The tool has an abundance of easy to use visualization functionalities • The tool can be used to create interactive dashboards • Dashboards and analysis can be saved, shared and scheduled to be refreshed • The tool has an export functionality (Excel, CSV, Picture etc.) • The tool must be able to run on tablets (Mobile BI)
  • 11. Vodafone chose Tableau as the best tool What we liked about Tableau: • Implementation speed • User interface • Great performance with huge datasets • Excellent online learning & training material (free) • Strong Visualisation functions • Excellent customer support Currently 20 Desktop licenses and >100 server interactors
  • 13. Connecting Tableau to Teradata (or any other source) Native Teradata connector: • Optimized connection • Drag & Drop querybuilder or custom SQL
  • 14. Importing data vs live connection • Importing data (extract) used for large datasets • Great performance, even with modest hardware • Extracts can be scheduled on server • Extracts on server can be shared
  • 15. Using Tableau to make the right Business decisions
  • 16. Use case 1: 4G Network rollout planning • Plotted revenue per network cell on map • Identified high value area’s • Used this information for rollout planning of 4G