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A Big Data Value Innovation
Ecosystem for Europe - a
Business Perspective
Networking session at EDF2014 Athens
Date: 20/03/2014
Dr. Harald Schöning, Head of Research, Software AG
NESSI Board Member
The potential of Big Data for Europe
– Industry perspective
Data often reside in isolation
availability of data
trust, security, privacy – European perspective
Complex value chains should be addressed
Bring value to all companies in the value chain
application domains must be involved
Legal regulations on European level
„Possibly one of the few last chances for
Europe‘s software industry to take a true
leadership“ K-H Streibich, CEO Software AG
European Data Forum 2014
European Data Forum 2014
Gains across all sectors, e.g.
Health
Mobility transport and logistics
Energy
Manufacturing and Production
Environment (Geospatial data)
Retail
Media and Content
European Data Forum 2014
Major roadblocks perceived
European ICT suppliers do not play a significant role among the 60
most profitable global Big Data vendors
European companies considered 1-2 years behind US companies
Only 30 % of larger companies in Europe consider themselves as
ahead of competition
Main challenges for successfully creating value of Big Data as seen by
companies:
 Privacy and Security
 Budget and priorities
 Technical challenges in Big Data management and analytics
 Expertise
 Lack of knowledge about Big Data managment and
analytics
 Lack of convincing use cases
Source: Big Data Survey Europe, BARC Institute (2013),
Big Data – Vorsprung durch Wissen, Innovationspotenzialanalyse, Fraunhofer Institute for
Intelligent Analysis and Information Systems, Sankt Augustin, Germany (2012)
and NEM ETP position paper: Big and Open Data (2013)
29 European organisations from industry and research have joined
forces to pursue the vision of European leadership in the global
data-driven digital economy by 2020
European Data Forum 2014
A European Partnership for
Big Data Value Creation
Big Data Value PPP fundamentals
European Data Forum 2014
A European Innovation Space
As innovation space providing
secure places for
• Building Skills
• Identifying Best
Practices,
• maturing ToolsTechnology
Development
Applications
Development
Legal
Social
Implications
Business
Models
Eco Systems
Data
cross-sector
activities
broaden the
availability and
accessibility of
data sources
data ecosystems
combining
• small and large
companies,
• technology and
application,
• research and
industry
assess the
economic
value of data
European Data Forum 2014
Contact us at
office@nessi-europe.com
www.bigdatavalue.eu

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EDF2014: BIG - NESSI Networking Session: Dr. Harald Schöning, Head of Research, Software AG, Germany: A Big Data Value Innovation Ecosystem for Europe - a Business Perspective

  • 1. A Big Data Value Innovation Ecosystem for Europe - a Business Perspective Networking session at EDF2014 Athens Date: 20/03/2014 Dr. Harald Schöning, Head of Research, Software AG NESSI Board Member
  • 2. The potential of Big Data for Europe – Industry perspective Data often reside in isolation availability of data trust, security, privacy – European perspective Complex value chains should be addressed Bring value to all companies in the value chain application domains must be involved Legal regulations on European level „Possibly one of the few last chances for Europe‘s software industry to take a true leadership“ K-H Streibich, CEO Software AG European Data Forum 2014
  • 3. European Data Forum 2014 Gains across all sectors, e.g. Health Mobility transport and logistics Energy Manufacturing and Production Environment (Geospatial data) Retail Media and Content
  • 4. European Data Forum 2014 Major roadblocks perceived European ICT suppliers do not play a significant role among the 60 most profitable global Big Data vendors European companies considered 1-2 years behind US companies Only 30 % of larger companies in Europe consider themselves as ahead of competition Main challenges for successfully creating value of Big Data as seen by companies:  Privacy and Security  Budget and priorities  Technical challenges in Big Data management and analytics  Expertise  Lack of knowledge about Big Data managment and analytics  Lack of convincing use cases Source: Big Data Survey Europe, BARC Institute (2013), Big Data – Vorsprung durch Wissen, Innovationspotenzialanalyse, Fraunhofer Institute for Intelligent Analysis and Information Systems, Sankt Augustin, Germany (2012) and NEM ETP position paper: Big and Open Data (2013)
  • 5. 29 European organisations from industry and research have joined forces to pursue the vision of European leadership in the global data-driven digital economy by 2020 European Data Forum 2014 A European Partnership for Big Data Value Creation
  • 6. Big Data Value PPP fundamentals European Data Forum 2014 A European Innovation Space As innovation space providing secure places for • Building Skills • Identifying Best Practices, • maturing ToolsTechnology Development Applications Development Legal Social Implications Business Models Eco Systems Data cross-sector activities broaden the availability and accessibility of data sources data ecosystems combining • small and large companies, • technology and application, • research and industry assess the economic value of data
  • 7. European Data Forum 2014 Contact us at office@nessi-europe.com www.bigdatavalue.eu