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INTERNAL USE ONLY INTERNAL USE ONLY Big data? Big deal! SAP Forum Istanbul 2014 Dr. Jürgen Brock Vice President Global Marketing [email protected] Fujitsu Technology Solutions GmbH Mies-van-der-Rohe-Str.8, 80807 Munich, Germany.

BIG DATA, BIG DEAL!

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SAP FORUM İstanbul 2014 FUJITSU "Big Data nedir? Nasıl bir öneme sahiptir? Fujitsu Global Pazarlama Başkan Yardımcısı Dr. Juergen Brock; örnek bir vaka çalışması eşliğinde Big Data ile işletmenizin sahip olduğu değeri nasıl artırabileceğinizi anlatacak."

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Page 1: BIG DATA, BIG DEAL!

0 INTERNAL USE ONLYINTERNAL USE ONLY Copyright 2014 FUJITSU

Big data? Big deal!

SAP Forum Istanbul 2014

Dr. Jürgen Brock

Vice President

Global Marketing

[email protected]

Fujitsu Technology Solutions GmbH

Mies-van-der-Rohe-Str.8, 80807 Munich, Germany.

Page 2: BIG DATA, BIG DEAL!

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Agenda

1. The big data context

2. A big data case…with a twist

3. Synthesis and conclusions

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Agenda

1. The big data context

2. A big data case…with a twist

3. Synthesis and conclusions

Page 4: BIG DATA, BIG DEAL!

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Big data… rise of an old concept

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Big data… rise of an old concept

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The three “Vs” of big data

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So where are we?

Source: Big data survey 2014, ETH Zurich and Fujitsu.

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Agenda

1. The big data context

2. A big data case…with a twist

3. Synthesis and conclusions

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Co-creation in the automotive industry

Stage 1

“Bayesian Virtual Adviser”

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Co-creation in the automotive industry

Stage 2

“Opportunity trigger”

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Co-creation in the automotive industry

Stage 3

“Virtual engineer” Hi, I am Tom your car design engineer. You have specified

requirements that our currently available cars cannot

meet.

For example, you said that you want a full size truck with 4

cylinders. Generally, our smaller trucks come with 4 cylinder engines. With some

further information from you, you can help us design a more

suitable truck.

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Co-creation in the automotive industry

Stage 4

“Opportunity sizing”

Identified business opportunity:

1-2bn $!

The twist?

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Agenda

1. The big data context

2. A big data case…with a twist

3. Synthesis and conclusions

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Synthesis and conclusions

Big data? Big deal! people – information - infrastructure

People From researcher to

data scientist

Information From data to

information

Infrastructure From legacy to

digital transformation

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