I-BiDaas

Industrial-Driven Big Data as a Self-Service Solution.
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This project has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No 780787. Views and opinions expressed are, however, those of the author(s) only and do not necessarily reflect those of the European Union or the Directorate-General Communications Networks, Content and Technology, Data, Administration and Finance. Neither the European Union nor the granting authority can be held responsible for them.

Participants

12 members

Start Year / End Year

2018 - 2020

Scope

European

Funding Framework

Horizon 2020 – H2020-ICT-2017-1

Budget

1 472 000,00€

Duration

36 months

About I-BiDaaS

I-BiDaaS is an EU-funded innovation project that set out to make advanced big data analytics accessible to organisations of all sizes. Through a secure, industrial-driven self-service platform, the project enabled users to experiment with, combine and analyse large-scale datasets without specialised technical expertise. By simplifying complex data processes and boosting cross-sector collaboration, I-BiDaaS supported more informed decision-making and accelerated digital transformation across European industries.

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I-BiDaaS
Key Objectives 

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1. Industrial Challenges

Define the industrial challenges of the data provider that the proposed solutions will address.

2. State Analysis

Synthesise and present the current state of the art from the viewpoint of the project’s highlighted problems.

3. Technical Architecture

Describe the technical framework in which the project will develop an outline of the three-layer architecture.

4. Experimental Validation

Specify the test cases for the experiments, including the verification and validation approach, and develop a mapping of the architecture’s mechanics with the streaming data flowing from the data providers.

5. Rapid Analytics

Increase the speed and scalability of big-data analysis to match modern data growth.

6. Real Validation

Demonstrate the platform’s value through large-scale pilots in banking, manufacturing and telecom.

I-BiDaaS Project Focus

Self-Service Analytics

Make big-data analytics accessible to non-experts through an intuitive, self-service platform.

Data Integration

Break intra- and inter-sector data silos to enable unified, cross-domain data flows.

Secure Processing

Provide a safe environment for experimentation using sensitive, real-world industrial data.

Scalable Analytics

Increase speed and scalability of data analysis to match rapidly growing datasets.

Real-World Pilots

Validate the platform through industry-led pilots in banking, manufacturing and telecommunications.

Visualisation Tools

Develop interactive visual tools that support decision-making for users at all levels.

Synthetic Data

Create realistic synthetic datasets when real data is unavailable or sensitive, aiding experimentation.

Resource Optimisation

Improve management of computational and storage resources for efficient analytics operations.





Role of EPBS in I-BiDaaS

Market Analysis

Lead market analysis and business modelling to define the platform’s value and target users.

Exploitation Strategy

Develop the project’s exploitation plan, including pathways for using results in training, executive education and industry.

Skills Development

Use I-BiDaaS outcomes to enhance EPBS programmes and train students and executives in data-driven decision-making.

Impact Expansion

Support dissemination through EPBS networks, events and partnerships, extending the reach of project results to academia and industry.

Project Partners