Project description
Advanced, user-friendly data analytics tools for the masses
The data analytics field is changing significantly, making it challenging for organisations to extract useful information from raw data in order to remain competitive and effective. Current tools have either failed to keep up with developments or are designed only for data scientists. To date, there are no tools combining advanced data science methods with user-friendly value-creation results and front ends that could help business analysts and decision makers. The EU-funded GRAPHEXT project intends to radically change the current data science and business intelligence analytics market. To do this, it will combine the full-stack functionalities in one seamless cloud-based software-as-a-service solution. This new approach to data analysis will integrate advanced data science into the mainstream.
Objective
The landscape for data analytics is undergoing profound changes, 1) because of the growing awareness of organisations in the intrinsic value of the data, 2) because of the huge explosion in amount and sources of data accessible, and 3) because of developments in tools and methods to extract value from the data.
The challenge for organisations is to optimally extract intrinsic value (economic, social and environmental) to remain effective and competitive. Organisations that can achieve this rapidly and most economically will certainly excel. Currently, the tools available on the market have are scattered and diverse, on one hand being conventional BI that have failed to keep up (with traditional databases and visualisation schema designed for structured data), and on the other there are sophisticated tools designed for use by data scientists, creating a major gap in between, to reach business analysts and decision makers.
To date there are no tools on the market that combine these advanced data science methods together with user-friendly value-creation results and front-ends, aimed at tactical and strategic decision making.
Graphext disrupts the existing market for data-science and BI analytics, by combining the full-stack functionalities in one seamless cloud-based SaaS solution. Graphext’s revolutionary approach in the analysis and visualization of complex datasets, brings the field of advanced Data Science to the mainstream.
Graphext delivers an advanced system for data analytics and value-creation - providing direct ‘actionable insight` for decision makers. Graphext applies advanced scientific techniques with unsupervised automated learning together with advanced data visualisation. This is an entirely different approach to data analysis as it takes a network and statistical approach, e.g. through employing techniques such as heuristics, looking at inherent patterns, anomalies and extracting intrinsic meaning from the data - doing the work of the data scientist.
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.
- natural sciences computer and information sciences databases
- natural sciences computer and information sciences data science business intelligence
- natural sciences computer and information sciences artificial intelligence heuristic programming
You need to log in or register to use this function
We are sorry... an unexpected error occurred during execution.
You need to be authenticated. Your session might have expired.
Thank you for your feedback. You will soon receive an email to confirm the submission. If you have selected to be notified about the reporting status, you will also be contacted when the reporting status will change.
Keywords
Project’s keywords as indicated by the project coordinator. Not to be confused with the EuroSciVoc taxonomy (Fields of science)
Project’s keywords as indicated by the project coordinator. Not to be confused with the EuroSciVoc taxonomy (Fields of science)
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.
-
H2020-EU.2.3. - INDUSTRIAL LEADERSHIP - Innovation In SMEs
MAIN PROGRAMME
See all projects funded under this programme -
H2020-EU.3. - PRIORITY 'Societal challenges
See all projects funded under this programme -
H2020-EU.2.1. - INDUSTRIAL LEADERSHIP - Leadership in enabling and industrial technologies
See all projects funded under this programme
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 - SME instrument
See all projects funded under this funding scheme
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
See all projects funded under this callCoordinator
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.
18014 Granada
Spain
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.