Data-driven innovation

Collaboration to provide novel services based on big data
Collaboration to provide novel services based on big data
Objective of approach: 
  • Generation of added-value from existing third-party data
  • Cooperation of various organizations and roles (data owner - data consumer - analyst - customer - end-user)

A data owner (e.g. mobility company, production company) provides data to an analyst (e.g. innovative SME, university, RTO) who applies data analytics technologies to generate added-value for a customer (e.g. city planner, production process optimizer). The data can be produced by e.g. the society (e.g. passengers of a mobility company, car drivers), sensors or workers in production environments,... A customer pays for a service delivered by the analyst -> data driven innovation.

  • Generation of a business model out of existing data
  • Data analytics technologies
  • Data
  • Creative data analyst
  • Computation cluster
Success factors: 
  • A good cooperation between data owner and analyst to understand the basic data semantics
  • A good understanding of the needs of the customer or rather end-user
  • Availability / quality of data
  • Data protection laws
Contact information: 

VIRTUAL VEHICLE Research Center Kompetenzzentrum - Das virtuelle Fahrzeug Forschungsgesellschaft, mbH Inffeldgasse 21/A, 8010 Graz Austria