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.