The document summarizes the European Data Incubator (EDI) project. EDI will incubate over 140 startups and SMEs using big data tools over three iterations from 2018-2021 with €7.7 million in funding. It will provide infrastructure, tools, training, and business support to help startups develop MVPs and generate businesses addressing challenges in various industries. The incubation process involves an open call, explore, experiment, and evolve phases for selected startups. EDI aims to build an ecosystem of over 3,000 stakeholders and leverage results to enable big data experimentation and business generation in Europe.
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EDI - European Data Incubator - Public Presentation
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Public Presentation
Dr. Diego López-de-Ipiña González-de-Artaza
Project Coordinator – University of Deusto/DeustoTech
http://www.edincubator.eu @edincubator
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Project Fiche
1st January 2018 – 30th June 2021
7,721,340.00 (cost) – 7,142,856.76(EU contribution)
20 partners from 10 countries
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Context
• Big Data has been identified as one of the main
trends in technology for the past years
• Big Data has the potential to transform businesses
and industries and to unlock tremendous value
– Look at Amazon or Google success
• EU data economy value will increase to EUR 643
billion by 2020, representing 3.17% of the overall EU
GDP
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Big Data
"Big Data are high-volume, high-velocity, and/or high-variety
information assets that require new forms of processing to enable
enhanced decision making, insight discovery and process
optimization“ Gartner, 2012
Opportunity to encounter perceptions in new emerging types of data and contents, to:
• Make the business more agile
• Answer complex queries which were before beyond your scope
“Data is the new oil of the 21st century”
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EDI – European Data Incubator: Mission
EDI will enable Big Data focused EXPERIMENTATION and
BUSINESS INCUBATION by …
– Making available the tools (hardware & software), data
and the resources (funding and business orientation) for
the future Big Data companies in Europe
• EDI will eliminate barriers for Big Data Business Incubation:
– free infrastructure with open source tools
– training on the most known off-the-self solutions
– previous experience in incubators (DEC & etventure) and
accelerators in FIWARE (FINODEX)
– Connection with the largest online network for start-ups
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EDI Objectives (I)
• Main objective: to incubate SMEs and start-ups who use Big
Data open source tools to address major challenges in
different businesses from their data assets analysis
• Main specific Objectives:
– Objective 1 - Experiment: to incubate around 140 start-ups following a
funnel incubation approach to develop a MVP
– Objective 2 - Business generation: to facilitate the business
generation of the best companies per call (3) focusing on the
development of skills (business planning and modelling, marketing &
communication, technology, crowd and public funding, fundraising,
human resources, product design/user interface, corporate and
legalese or pitch)
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EDI Objectives (II)
The complementary objectives to enabling Big Data focused
EXPERIMENTATION and BUSINESS GENERATION are:
– Objective 3 - Open Calls: to launch three open calls to select around
140 top-leading Big Data start-ups/SMEs out of a pool of above
– Objective 4 - Ecosystem and exploitation: to build a solid ecosystem
around Big Data stakeholders with over 3,000 participants (including
start-ups, SMEs, data providers, investors and Big Data experts
ensuring gender equality) leveraging the results of sub-granted project
– Objective 5 - Coordination: to adequately manage and coordinate the
EDI project according to the rules of the H2020 and the coordination
with other Big Data PPP initiatives
• The consortium will be initially comprised by 20 partners (including 15
data providers) and will disburse funds to over 140 SMEs/start-ups from
all over Europe
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• Early involvement of 15 data providers (finance, retail,
energy, transport & logistics, media & Internet ) as catalysers
to promote sub-granted experiments solving proposed
challenges
– EDI foresees the inclusion of additional 10 different data providers
from non-covered sectors mainly to increase the offer and
experiments going on in the incubator in the 2nd and 3rd open calls
• Start-ups/SMEs will count with a set of technical and
business services offered by EDI incubator:
– Dedicated coaches and mentors, a technical infrastructure with a set of
tools ready to be used (Big Data analytics ), a different set of training
modules on Big Data and personalized business development support
EDI Highlights (I)
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EDI Highlights (II)
• Each sub-grantee reaching the Experiment phase will have to meet a set of KPIs
that will monitor the progress of the work and result in funding
– Each start-up/ SME will be assigned one coach - either from eSH or from DEUSTO - who
will have regular coaching sessions with the teams regarding their development
– ENG and DEUSTO will be responsible to provide teams with a supporting technical
environment and Big Data expertise to enable the Experimentation phase activities
– Funding is not under a traditional administrative-justification system, but results-driven
• €5M (70%) of the funds requested will be directly invested in the SMEs as equity
free funding
– Funds will be divided in two paths: a) domain specific challenges and b) the cross-
domain challenges
• The project will be active for 42 months, whilst open call winners will have 8
months to develop their projects through the EXPLORE (2 months),
EXPERIMENTATION (4 months) and EVOLVE (2 months) phases
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Partners
No. Participant organisation Name Short name Country
1 (CO) University of Deusto DEUSTO Spain
2 Zabala Innovation Consulting S.A. ZABALA Spain
3 F6S Network Limited F6S UK
4 Engineering Ingegneria Informatica spA ENG Italy
5 Etventure Startup Hub GmbH ESH Germany
6 MigrosTicaret A.S MIGROS Turkey
7 Jot Internet Media España SL JOT Spain
8 Automobil Club Assistencia S.A. RACC Spain
9 Virtual Power Solutions SA VPS Portugal
10 Sonae Center Serviços II, S.A. SONAE Portugal
11 Yapı Kredi Teknoloji Anonim Sirketi YKT Turkey
12 Agencia EFE, S.A. EFE Spain
13 UBIMET GmbH UBIMET Austria
14 Elektro Ljubljana Podjetje Zadistribucijo Elektricne Energije D.D. ELEK-LJ Slovenia
15 Volkswagen Navarra S.A. VW Spain
16 Via Verde Portugal, Sistemas Electrónicos de Cobrança S.A. VIAVERDE Portugal
17 De Vlaamse Radio en Televisieomroeporganisatie NV VRT Belgium
18 Energa Operator SA ENERGA Poland
19 Empresa Metropolitana de Abastecimiento y Saneamiento de Aguas de Sevilla S.A. EMASESA Spain
20 Technical University of Berlin TUB Germany
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Incubation Process in 3 iterations
The incubator will be based on a 4-phase process (repeated for three
batches): Open Call > Explore > Experiment > Evolve
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EDI’s Open Call Funnel Approach
Selection of winning start-ups will follow a funnel approach, helping the
consortium to focus on the top projects along the incubation programme
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Funding Distribution
The overall amount to fund start-ups and SMEs is €5M
– We will define a maximum budget available for each of the calls
– Any non-spent part of the budget in a call will be transferred to the
following
– Funding from one call to the following will be increased.
Phase Draft no. projects Funds Subtotal
Explore 45 €5,000 €225,000
Experiment 16 €80,000 €1,280,000
Evolve 6 €15,000 €90,000
Call 1 €1,595,000
Explore 47 €5,000 €235,000
Experiment 17 €80,000 €1,360,000
Evolve 7 €15,000 €105,000
Call 2 €1,700,000
Explore 48 €5,000 €225,000
Experiment 17 €80,000 €1,360,000
Evolve 7 €15,000 €105,000
Call 3 €1,705,000
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EDI Technical Infrastructure
• The Data Catalogue will be ready by the time the call is open and be part
of the Open call documentation published
• Application hosting will be ready for EXPLORE phase of 1st iteration
• For EXPERIMENT phase of iteration 1, Big Data Stack ready
EDI Infrastructure for
experiments
Application Hosting
Containers
Explore Experiment and Evolve
Data
Catalogue
Analysis
Tools
Repository
BIG DATA STACK
Data providers APIs
Data
General
Users
Community
users
Proposers
Data and
Computation
hosting
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Technical Services
The services are mainly divided this way:
– Training: Including webinars about several topics such as
the data ecosystem in Europe, legal (regulation 2016/679,
data value workshops and general training on the
infrastructure and tools.
– Support: A first and second support level for the selected
projects has been planned already. Besides that,
mentoring with technical experts from the data providers
are expected with the selected start-ups/SMEs.
– Hands-on events: Starting with a Datathon in the Explore
phase (Berlin) and Tech-training Days in Experimentation
phase (Bilbao).
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Business Services
Business training and coaching activities during the incubation phases
EXPLORE, EXPERIMENT and EVOLVE:
– Training: topics will include design thinking, lean management, agile
methodologies, business model canvas, online marketing,
PR/communications, Sales, pitch training, user experience, growth hacking. A
set of onsite and webinars will be organised during the distinct phases of the
incubation process
– Fund-raising: including a part of training on types of funding (public and
private), analysis of public funding opportunities, due-diligence process,
metrics and, importantly, connection with investors (corporates, VCs).
– Coaching: the Experimentation phase for each project will be guided by a
specialised coach. The coach will define and monitor their metrics, to follow
them up on a monthly basis. Coaches will be the main contact point for the
start-ups within the consortium
– Mentors: External mentors (for cross sectorial projects mainly) and/or data
providers’ mentors will set up 1-hour sessions with the team, every two weeks
(since EXPERIMENT), in order to help the teams develop their ideas and
concepts from a business point of view.
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EDI Opportunities
• Entrepreneurs/start-ups/SMEs: entrepreneurs/start-ups/SMEs with Big Data
related businesses when looking for support in acceleration and incubation.
– The specialized information produced during EDI programme will be public available to
any entrepreneur/start-up/SME who wants to access them.
• Start-ups’ support entities: business incubators networks; business angels and
venture capitalists’ networks; technological platforms and specialists; and any local
entrepreneurial and start-up community supporter
• Corporates with investment programmes: the aim here is presenting an
elaborated portfolio of companies to facilitate their work in future investments. At
the same time, the idea is setting up new agreements for increasing the data
sources in our incubator.
• Big data community: like the organisations represented in the BDVA, participants
in the projects funded by the Big Data PPP (especially BDVe), standardisation
bodies like W3C, etc.
• Policy stakeholders: like EC, EEN, Start-up Europe, national and regional
authorities to assure the exploitation of the project outputs as well as to promote
the results obtained.
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Thanks a lot!
This project has received funding from the European Union’s Horizon 2020
research and innovation programme under grant agreement No 779790