Dr. Stefan Schwarz - Data is the New Oil

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

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

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

4







Agenda

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)

7







Agenda

8

Upstream: Sourcing relevant heterogenic data in real time & huge volumes

Best in class ingestion engine for IoT data Very 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







Agenda

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

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







Agenda

13

Multi-genre Advanced Analytics On-demand

Machine Learning Text Graph

Time Series Pattern

Path

Stats

Multi-genre Advanced Analytics

Transformations Data Access

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

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







Agenda

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

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

Dr. Stefan Schwarz Director Business Consulting Lead Telco, M&E TERADATA

M: +49-173-74-88381 [email protected]

Dr. Stefan Schwarz - Data is the New Oil

Documents

Transcript of Dr. Stefan Schwarz - Data is the New Oil