Industrial-Driven Big Data
as a Self-Service Solutions
Organizations leverage data pools to drive value, while it is variety, not volume or velocity, which drives big-data investments. The convergence of Internet of Things (IoT), cloud, and Big Data, create new opportunities for Big Data analytics. Human and machine created data are being aggregated, transforming our economy and society.
To face these challenges, companies call upon expert analysts and consultants to assist them. However, a different paradigm – Big Data as a self-service – will be transformative for organizations; it will empower their employees with the right knowledge, and give the true decision-makers the insights they need to make the right decisions. It will shift the power balance within an organization, increase efficiency, reduce costs, improve employee empowerment, and increase profitability.
The H2020 European Union-funded I-BiDaaS project – Industrial-Driven Big Data as a Self-Service Solution aims to develop a Big Data as a self-service solution that will empower users to easily utilize and interact with big data technologies. I-BiDaaS will achieve this by designing, building, and demonstrating, a unified solution 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. The project’s solution will be tangibly validated by three real-world, industry-lead experiments, in the domains of banking, manufacturing, and telecommunications.
In more detail, the I-BiDaaS project sets the following specific objectives:
• Develop, validate, demonstrate, and support, a complete and solid big data solution that can be easily configured and adopted by practitioners.
• Break inter- and intra-sectorial data-silos, create a data market and offer new business opportunities, and support data sharing, exchange, and interoperability.
• Construct a safe environment for methodological big data experimentation, for the development of new products, services, and tools.
• Develop data processing tools and techniques applicable in realworld settings, and demonstrate significant increase of speed of data throughput and access.
• 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.
• Demonstrate how data fabrication can help companies in their Big Data experimentation and testing.
The Big Data Value Summit 2019 in Riga is an excellent opportunity for I-BiDaaS to showcase the project highlights. Currently being mid-way from the project start (i.e., at month 18), I-BiDaaS has already carried out several important activities and accomplished several significant achievements, which will be presented at the Summit. First, we will showcase the project’s vision, main objectives, and relation with the BDVA strategic objectives and the EU data economy. Second, we will demonstrate a version of the platform integration on a pilot from the banking sector, provided by the CAIXA bank. The demonstration includes both batch and streaming analytics and deals with finding relations between bank customers for security checks, given a set of their IP address connections to online banking services. Third, we will highlight several technological advances on the individual tools and technologies brought in by the project partners and advanced during the course of the project, or created during the project. Finally, we will describe several activities and initiatives carried out during the project that contribute to breaking internal and external data silos and contribute to data sharing within the consortium and with general scientific community, including the First I-BiDaaS workshop-Info Day organized in January 2019 in Novi Sad (Serbia), the hackathon which will be organized at Fiat (FCA)’s Campus Melfi in June 2019 in Melfi, Italy, as well as a hackathon planned for subsequent stages of the project, to be organized at Telefonica’s premises in Barcelona, Spain.