PARTNERS 2015 - DR. Stefan Schwarz & Sven Ophey - Value Add Programme
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Transcript of PARTNERS 2015 - DR. Stefan Schwarz & Sven Ophey - Value Add Programme
![Page 1: PARTNERS 2015 - DR. Stefan Schwarz & Sven Ophey - Value Add Programme](https://reader031.fdocuments.net/reader031/viewer/2022030304/58784fd71a28ab68198b6263/html5/thumbnails/1.jpg)
Vodafone Germany’s Value Add Program - BIG Value through ALL Data -
How BI & Big Data seamlessly support
a most complex quad play business
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Join the current F1 champion on a lap of Monaco
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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?
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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
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We scanned the whole company in depth for quick wins
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Drei?
- CVM Smarter
- A&R Optimisation
- ???
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Quick results & high returns makes stake holders smile
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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
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Key requirements for BI & Big Data
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Why not Big Data? Why Big Data via BI?
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DOs and DON’Ts of BI & Big Data
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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
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How to marry agile and traditional thinking
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BI Demand Fulfilment Model: Accountability
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Pros & Cons of Prototype Approach
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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
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Use Case Examples: SNA
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Use Case Examples: Pricing
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Use Case Example: Network driven churn
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• 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
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Use Case: Media Spend Optimization & Churn Modeling
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Different use cases rely on different parts of the same ecosystem
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Analytics Architecture
TD
EDW TD
Appliance
TD Aster
AbInitio ETL
Tableau
TD
EDW TD
Appliance
AbInitio ETL
Clint
view Tableau
Qu
ery
Grid
TD
EDW TD
Appliance
HortonWorks
Hadoop
Appliance
TD Aster
AbInitio ETL
SAS R Tableau
Qu
ery
Grid
TD
EDW TD
Appliance
HortonWorks
Hadoop
Appliance
TD Aster
AbInitio ETL
SAS R Tableau
TD
EDW
AbInitio ETL
Clint
view Tableau
Acquisition & Retention
Householding Price driven churn Network driven Churn
Sentiment Analysis
SAS
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An integrated BI & Big Data ecosystem maximizes return, minimizes invest, integrates results enables success
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Join the current F1 champion on a lap of Monaco
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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
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If everything’s under
control, you’re
going too slow. Mario Andretti
former Nascar & F1 Champion
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Sven Ophey
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