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Data-driven decision making for a more efficient society

Objective

The rapid diffusion of digital information technologies has created an explosive growth in the amount of digital data. 90% of the world’s data today has been created in the last two years alone. The availability of this data has opened up an opportunity to create significant value on all levels of the society. More extensive use of this data for data-driven decision-making (by companies, governments, researchers) could improve European GDP by more than €120 billion by 2020. However, this opportunity is currently restricted by privacy regulations, distrust and business secrets.

Sharemind is the first technology that truly enables the use of confidential data for data-driven decision-making, and thereby fundamentally enhances the potential value of big data. The novelty of Sharemind lies in its ability to extract useful information from private data without even seeing the data. Sharemind makes new types and more data available for sharing/analysis and simplifies the data analysis process, and thereby enables applications that have been impossible before. Users of Sharemind gain new insights that can be used for making decisions, improving productivity, optimising marketing, developing new products and services and implementing new business models.

Sharemind has been validated in an operational environment with five piloting customers (TRL7). Our go-to-market action plan foresees approaching our existing list of interested prospects as soon as the limitations to Sharemind global scale-up have been removed in the BiggerDecisions project. We have identified 250 customer leads, of which 30 are currently in sales negotiations with us.

One of the main factors supporting our commercialization efforts is the enforcement of General Data Protection Regulation in 2018, requiring a level of data privacy and security that is beyond what most organisations are currently equipped to manage.

We will execute a business strategy yielding over €94 million in revenues in 2021.

Fields of science (EuroSciVoc)

CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: The European Science Vocabulary.

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Programme(s)

Multi-annual funding programmes that define the EU’s priorities for research and innovation.

Topic(s)

Calls for proposals are divided into topics. A topic defines a specific subject or area for which applicants can submit proposals. The description of a topic comprises its specific scope and the expected impact of the funded project.

Funding Scheme

Funding scheme (or “Type of Action”) inside a programme with common features. It specifies: the scope of what is funded; the reimbursement rate; specific evaluation criteria to qualify for funding; and the use of simplified forms of costs like lump sums.

SME-2 - SME instrument phase 2

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Call for proposal

Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.

(opens in new window) H2020-SMEInst-2016-2017

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Coordinator

CYBERNETICA AS
Net EU contribution

Net EU financial contribution. The sum of money that the participant receives, deducted by the EU contribution to its linked third party. It considers the distribution of the EU financial contribution between direct beneficiaries of the project and other types of participants, like third-party participants.

€ 1 281 437,00
Address
MAEALUSE 2
12618 TALLINN
Estonia

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SME

The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed.

Yes
Region
Eesti Eesti Põhja-Eesti
Activity type
Private for-profit entities (excluding Higher or Secondary Education Establishments)
Links
Total cost

The total costs incurred by this organisation to participate in the project, including direct and indirect costs. This amount is a subset of the overall project budget.

€ 1 830 625,00
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