1. ​Data is the new Oil
​Dr. Stefan Schwarz, Director Business Consulting, Telco & ME Lead, Teradata

2. 2
• The obligatory slide:
But I will not speak about Teradata
• How it all began:
The evolution of data
• Upstream:
Sourcing relevant data
• Midstream:
Storing Big Data
• Downstream:
Analyzing and enabling value
• Reality Check:
High Value Reference Cases
Agenda

3. 3
Teradata:
Data means nothing, unless it means something to you!

4. 4
• The obligatory slide:
But I will not speak about Teradata
• How it all began:
The evolution of data
• Upstream:
Sourcing relevant data
• Midstream:
Storing Big Data
• Downstream:
Analyzing and enabling value
• Reality Check:
High Value Reference Cases
Agenda

5. 5 © 2014 Teradata
“There were 5 Exabytes of
information created between the
dawn of civilization through 2003,
but that much information is now
created every 2 days.””
(Eric Schmidt, ex Google CEO, 2010)
"Big Data, for better or worse:
90% of world's data generated
over last two years."
(ScienceDaily, 22 May 2013)

6. 6

7. 7
• The obligatory slide:
But I will not speak about Teradata
• How it all began:
The evolution of data
• Upstream:
Sourcing relevant data
• Midstream:
Storing Big Data
• Downstream:
Analyzing and enabling value
• Reality Check:
High Value Reference Cases
Agenda

8. 8
Upstream:
Sourcing relevant heterogenic data in real time & huge volumes
Best in class ingestion engine for IoT dataVery modern concept ingest 100s of source near realtime
Teradata Customer examples utilizing Teradata Listener/Kafka
Customer Example LinkedIn:
Some key figures
• 220B messages/day
• 3.25M messages/second peak
• 40TB in (70MB/s), 160TB out
(400MB/s)

9. 9
• The obligatory slide:
But I will not speak about Teradata
• How it all began:
The evolution of data
• Upstream:
Sourcing relevant data
• Midstream:
Storing Big Data
• Downstream:
Analyzing and enabling value
• Reality Check:
High Value Reference Cases
Agenda

10. 10
• In the presence of big choice
• Typical Questions are
– What platform to use for what
data?
– What are the price points per
platform?
– What other criteria need to be
matched (e.g. work load
management)
• Our Answer:
Midstream:
Storing Big Data
The user couldn’t (& shouldn’t) care less

11. 11
The Data Intelligence Hub (based on Teradata UDA) is a modular open
platform allowing to source, store & analyze huge amounts of maximal
heterogenic data in near real time.

12. 12
• The obligatory slide:
But I will not speak about Teradata
• How it all began:
The evolution of data
• Upstream:
Sourcing relevant data
• Midstream:
Storing Big Data
• Downstream:
Analyzing and enabling value
• Reality Check:
High Value Reference Cases
Agenda

13. 13
Multi-genre Advanced Analytics On-demand
Machine Learning Text
Graph
Time Series
Pattern
Path
Stats
Multi-genre
Advanced
Analytics
Transformations Data
Access

14. 14
Enable Discovery Development and Execution
Single discovery analytics solution with interface for – Business, Analyst, R User & Data Scientist
IDE
SELECT n.event_path, count(*)
FROM nPath(
ON (
SELECT *
FROM telco_data td, profile p
WHERE d.customer_id = p.customer_id
)
PARTITION BY customer_id
ORDER BY timestamp
MODE( overlapping )‫‏‬
PATTERN(‘EVENT+.CANCEL_SERVICE_EARLY’)‫‏‬
SYMBOLS(
action‫‘‏><‏‬CANCEL‫‏‬SERVICE’‫‏‬AS‫‏‬EVENT,
SQL Client
Business /BI User Business Analysts R User Data Scientists
R Client
BI & Open Source Visualization Tools (for Discovery Insights)
Time to Value Acceleration
(actionable insights in hours, days or weeks)
AppCenter & Guided
Development Interface (GDI)

15. 15
Aster Analytics Evolving Use & Value Examples
Affinity & Influencer Analysis:
(Product, Service, Social, Warranty)
Predictive Analysis
(Behaviors, Components, Social,…)
Behavioral (paths & pattern sequences)
Text Analytics
(sentiment, documents, voice of customer )

16. 16
• The obligatory slide:
But I will not speak about Teradata
• How it all began:
The evolution of data
• Upstream:
Sourcing relevant data
• Midstream:
Storing Big Data
• Downstream:
Analyzing and enabling value
• Reality Check:
High Value Reference Cases
Agenda

17. 17
​Transforming business models
​The Internet of Trains
​Opportunity
• Increase share of travel from plane (renfe)
• Boost NPS & reputation (renfe)
• Change to superior business model (Siemens)
​Approach
• Move to condition-based, predictive maintenance
• Ensure commercial sustainability by preventing
failure on the track
• Enabled thru near real time analytics of sensor data
​Results
• If delay > 1 h train ticket price will be reimbursed in full
• “Most reliable high-speed train in the whole network”
• Share of plane travel down from 80% to 30%
• Change single asset sale to long term service contract
• New offering (incl. risk share & perf. based contracts)
17 © 2014 Teradata
Similar cases
“It is a whole new business model.
Instead of selling our customers a train,
we sell them its performance over a
certain period of time.”
– Gerhard Kress, Director of Mobility
Data Services at Siemens.

18. 18
Revolutionizing automotive
Connected cars
18 © 2014 Teradata
• 80-90% of cars connected to Volvo cloud, analyzed by Teradata Aster
• Share data within Volvo & with local cities, eg. for road maintenance
• Volvo use cases include failure prediction, early warning system for drivers,
cloud based remote control for the car and the goal of making Volvo cars
“death-proof” (Volvo) by 2020
• Design for future cars is highly influenced by sensor data & AoT
Volvo: “Cars shouldn’t crash…”
• “BMW already has the best car connectivity [record] of any company,”
(BMW), with six million of its cars directly connected to the internet.
• BMW built a data lake based on Teradata involving the whole organization.
• Current & future use cases include autonomous driving, services enhancing
the driving experience through big data analytics
BMW: “A revolution for the car industry”
• “The launch of Pay-As-You-Drive insurance [gives] motorists access to
insurance specifically tailored to them & their driving habits.” (Aviva)
• Teradata enabled Norwich Union rating & managing a much larger set of
customer trips on a daily basis, while better managing the associated risk
Aviva/Norwich Union: “A revolutionary new product”
“When we come to ‘Transportation as a
Service’ or ‘Mobility as a Service,’ there’s
a game changer for the whole
society. [..] The full ownership of the
vehicle will look different at least in the
bigger cities and megacities in the
future. That is a full change of our
business principles.”
– Jan Wassén, Director of Business
Analytics, Volvo Cars

19. 19
Dr. Stefan Schwarz
Director Business Consulting
Lead Telco, M&E
TERADATA
M: +49-173-74-88381
stefan.schwarz@teradata.com

20. 2020 © 2014 Teradata