Project description
AI-based solution for managing data
Many platforms and solutions exist for managing data but they remain disconnected, inconsistent and increasingly complex. The processes are costly and time consuming and the knowledge is fragmented and dispersed. The EU-funded DEMS project has developed a semantic and linguistic Artificial Intelligence to translate human language business rules into machine code. DEMS is a multilingual system for the interrogation of databases in natural language and it automates data governance. Data remains at the source, and no data integration is required. The project intends to commercialise DEMS-NiXuS, an evolution of the DEMS solution, in three areas: data, community and business rules. The solution includes a data-sharing component, enabling data exchange among organisations and allowing self-discovery of business rules from data.
Objective
Data is a crucial asset to every organization; for supporting internal processes and for showing the way to new business models. In order to support informed business decisions making, data is aggregated from operational systems in painstaking ETL processes that deliver information to BI tools. Those processes are becoming so complex that they cause of confidence in reported and predicted information. Not only the initial cost of an ETL/BI solution is very high but data scientists spend 80% of their time preparing and managing data rather than extracting valuable information of it.
Our groundbreaking solution, DEMS, uses Artificial Intelligence to translates human language business rules to machine code which extracts the data, calculates the measurements, compares them to the target and automatically generates reports and dashboards. DEMS measurements are always connected directly to operational transactions so they are trusted and root cause of failed performance can be easily found. We started developing DEMS in 2007 and since then it has evolved to a fully production solution. Our core aim is to commercialize DEMS-NiXuS, an evolution of DEMS in three aspects of data, community and business rules. It will include a Data Sharing Sphere – enabling extra-organization data sharing; the platform will evolve to become the “social network” for enterprises and will enable self-discovery of rules from data. The prototype is already in place. The BI global market is forecast to reach $18.3 billion in 2017 and grow at a high CAGR of 21%. Founded in 2007, Global Data Excellence is based in Geneva and counts more than 30 major customers in the manufacturing, finance, transport and public sectors. EU funding will help us accelerate the development and ensure that we keep our position as technology leaders in the market.
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.
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.
- humanities languages and literature general language studies
- social sciences sociology governance
- social sciences political sciences political transitions revolutions
- social sciences economics and business business and management business models
- natural sciences computer and information sciences data science business intelligence
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Programme(s)
Multi-annual funding programmes that define the EU’s priorities for research and innovation.
Multi-annual funding programmes that define the EU’s priorities for research and innovation.
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H2020-EU.2.3. - INDUSTRIAL LEADERSHIP - Innovation In SMEs
MAIN PROGRAMME
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H2020-EU.3. - PRIORITY 'Societal challenges
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H2020-EU.2.1. - INDUSTRIAL LEADERSHIP - Leadership in enabling and industrial technologies
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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.
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.
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-1 - SME instrument phase 1
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Call for proposal
Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.
Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.
(opens in new window) H2020-EIC-SMEInst-2018-2020
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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.
1228 PLAN-LES-OUATES
Switzerland
The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed.
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.