1. Vodafone Germany’s Value Add Program
- BIG Value through ALL Data -
How BI & Big Data seamlessly support
a most complex quad play business

2. Join the current F1 champion on a lap of Monaco
2

5. Controversies that will lead
you through the next ½ hour.
Why not Big Data standalone? Why Big Data via BI?
BI & Big Data as Value Driver // Cost Driver
Prototype approach as
a proper strategy // predestined flop?
Why should you not do BI & Big Data?

6. Table of Content
Teradata Partner Presentation
1 Where do we come from
2 How to overcome central barriers
3 Pros & cons of prototype approach
4 Sharing learning around our use cases

7. We scanned the whole company in depth for quick wins
7

8. Quick results & high returns makes stake holders smile
8

9. Table of Content
Teradata Partner Presentation
1 Where do we come from
2 How to overcome central barriers
3 Pros & cons of prototype approach
4 Sharing learning around our use cases

10. Key requirements for BI & Big Data
10

11. Why not Big Data? Why Big Data via BI?
11

12. DOs and DON’Ts of BI & Big Data
12

13. Table of Content
Teradata Partner Presentation
1 Where do we come from
2 How to overcome central barriers
3 Pros & cons of prototype approach
4 Sharing learning around our use cases

14. How to marry agile and traditional thinking
14

15. BI Demand Fulfilment Model: Accountability
15

16. Pros & Cons of Prototype Approach
16

17. Table of Content
Teradata Partner Presentation
1 Where do we come from
2 How to overcome central barriers
3 Pros & cons of prototype approach
4 Sharing learning around our use cases

18. Use Case Examples: SNA
18

19. Use Case Examples: Pricing
19

20. Use Case Example: Network driven churn
20
• Analyzing network data to optimize the
network from a customer point of view (“fix
what matters”)
• Understand the service quality the network
offers to what customers
• Understand handset performance from a
customer point of view
• Enable better service
Network driven churn

21. Use Case: Media Spend Optimization & Churn Modeling
21

22. Different use cases rely on different parts of the same ecosystem
22
TD
EDW
TD
Appliance
TD Aster
AbInitioETL
Tableau
TD
EDW
TD
Appliance
AbInitioETL
Clint
view
Tableau
QueryGrid
TD
EDW
TD
Appliance
HortonWorks
Hadoop
Appliance
TD Aster
AbInitioETL
SAS R Tableau
QueryGrid
TD
EDW
TD
Appliance
HortonWorks
Hadoop
Appliance
TD Aster
AbInitioETL
SAS R Tableau
TD
EDW
AbInitioETL
Clint
view
Tableau
Acquisition & Retention
Householding Price driven churn Network driven Churn
Sentiment Analysis
SAS

23. An integrated BI & Big Data ecosystem maximizes return,
minimizes invest, integrates results  enables success
23

24. Join the current F1 champion on a lap of Monaco
24

25. Agile BI projects are like F1 races in Monaco
If you have everything under control you are going too slow
25 https://youtu.be/93ayXRxbY6E

26. If everything’s under
control, you’re
going too slow.
Mario Andretti
former Nascar & F1 Champion
26

27. We Love Feedback
Questions/Comments
Email:
Follow Me
LindedIn
Rate This Session
with the PARTNERS Mobile App
Remember To Share Your Virtual Passes
Follow Teradata 2015 PARTNERS
www.teradata-partners.com/social
sven.ophey01@vodafone.com
Sven Ophey
27