EGI-InSPIRE RI EGI-InSPIRE EGI-InSPIRE RI EGI Business Engagement Program for SMEs Javier Jiménez Business Development Expert 21/05/ EGI CF’14 – Helsinki 21 May 2014

EGI-InSPIRE RI VT Business Engagement Programme for SMEs SMEs as key drivers for growth Business Engagement Programme −Bringing SMEs into the EGI ecosystem to create mutual value Output: −Definition of a framework for relationship −What can a federated EGI collaboration offer? What is the value for both parts? What would be the forms of engagement? What cannot be done? −Leads: Identification of SMEs potentially interested −Ideally, a few pilot cases and KPIs Tool: a very active VT, dynamic telcos, and homework. 21/05/ EGI CF’14 – Helsinki 21 May 2014

EGI-InSPIRE RI SMEs as key drivers for growth The Small and Medium size Enterprises represent more than the half of the EU economy More than 99% of all European businesses are SMEs Role to play in job creation, growth and innovation −Contributing in many sectors up to 80% of all employment, especially for young people European Commission site 21/05/ EGI CF’14 – Helsinki 21 May 2014

EGI-InSPIRE RI Business Model Example 1 21/05/ EGI Infrastructure (Federated Cloud) User Communities Research Group The Long Tail Commercial Partner Enabler, reach, distribution channel EGI CF’14 – Helsinki 21 May 2014

EGI-InSPIRE RI Business Model Example 2 21/05/ EGI CF’14 – Helsinki 21 May 2014

EGI-InSPIRE RI Open Data Value Chain Scientific Data Producers Raw Data Processed Data Knowledge 21/05/ Makes sense of dataCreate value of data Value 1.Data Suppliers 2.Data Enablers (storage & publish) 3.Aggregators (open data + proprietary data) 4.Developers, added value services 5.Enrichers, enrich their own products 6.Consumers (Scientists, Business, Public Bodies) 7.Users EGI CF’14 – Helsinki 21 May 2014

EGI-InSPIRE RI Business Models on Open Data (1/2) 21/05/ Data Enabler Open Data Supplier Business Public Institutions Consumers Researchers Business First Level Processor Public Institutions Revenue Streams Aggregators Developers Enrichers Downstream Processor Revenue Streams EGI CF’14 – Helsinki 21 May 2014

EGI-InSPIRE RI Business Models on Open Data (2/2) 21/05/ Open Data Supplier (i.e. Copernicus) Data Enabler Open Data Supplier Business Public Institutions Consumers Researchers Business First Level Processor Public Institutions Revenue Streams Aggregators Developers Enrichers Downstream Processor Revenue Streams EGI CF’14 – Helsinki 21 May 2014

EGI-InSPIRE RI Value Generation Open Data 21/05/ Public Institutions Researchers Business Work with processed data Easier to make predictions Easier to find patterns Visualisation of complex relationships Efficiency gain Value: Excellent Science Prediction of catastrophes Health care benefits Climate change mitigation, Disease prevention, etc. Societal Challenges Economic Growth Job Creation Research & Innovation New products and services Enriched products Less costs, etc. Users EGI CF’14 – Helsinki 21 May 2014

EGI-InSPIRE RI Summary / Conclusions Funding Agencies −Research and tool development for project purposes no longer enough – must demonstrate that what is created has external or persistent value (i.e. societal and economic impact) −Your job is to innovate and produce excellent science, so need to create relationships and partnerships EGI in a unique position to facilitate value chain from research to industry What could be done: −Joint technical development (e.g. user interfaces; data applications) −Pre-commercial prototyping (e.g. SMEs don’t have money to invest in concepts, feasibility tests raise market potential) −Increased visibility/Network effect reaching a wider audience through promotional agreements −Exploitation of scientific data for social/economic value in the EU If there is value generation there are revenue streams = increased exploitation of scientific results −Puts you/us in better positioning for H2020 and national funding 21/05/ EGI CF’14 – Helsinki 21 May 2014

EGI-InSPIRE RI Thank you! 21/05/ Any question? EGI CF’14 – Helsinki 21 May 2014