I-BiDaaS is a self-service solution, aiming to empower users to easily utilize and interact with big data technologies by designing, building and demonstrating a unified framework that significantly increases the speed of data analysis while coping with the rate of data asset growth and facilitates cross-domain data-flow towards a thriving data-driven EU economy.
I-BiDaaS will shift the power balance within an organisation, increase efficiency, reduce costs, improve employee empowerment and increase profitability. Moreover, I-BiDaaS will deliver a full array of big data business analytics solutions for structured, unstructured, noisy and potentially synthetic data for companies in multiple industries that are more accessible, cost effective and employee-empowering than existing solutions, which gives companies the confidence to deploy Big Data Self-Service solutions across the organisation, from consumer-facing employees with little IT experience or expertise to top management and helps companies to optimize decision-making at the tactical, operational and strategic levels.
The domains that can exploit such self-service solutions are numerous; I-BiDaaS will explore three critical ones with significant challenges and requirements: banking, manufacturing, and telecommunications.


  • To develop, validate, demonstrate and support, a complete and solid big data solution that can be easily configured and adopted by practitioners.

  • To break inter- and intra-sectorial data-silos, create a data market, offer new business opportunities and support data sharing, exchange as well as interoperability.

  • To construct a safe environment for methodological big data experimentation for the development of new products, services, tools.

  • To develop data processing tool and techniques applicable in real-world settings and demonstrate significant increase of speed of data throughput and access.

  • To develop technologies that will increase the efficiency and competitiveness of all EU companies and organisations that need to manage vast and complex amounts of data.