Ultra-Scalable and Ultra-Efficient Integrated and Visual Big Data Analytics
The LeanBigData project seeks solutions for processing Big Data analytically, combining the capabilities of operational and analytical data. In order to counteract the existing disadvantages of each type of data, LeanBigData aces three challenges, namely, the costs associated with migrating operational data to analytical processing, the lack of integration of existing technologies to deal with large volumes of information and their high response times, and the insufficient support provided by the end user. Among other objectives, LeanBigData thus attempts to combat these excessively long analysis cycles. The project can be applied in four different areas, including financial direct debit matching, bank fraud detection, behavior monitoring and correlation and failure prediction, targeted advertising, maximising real-time impact and results, and social network analysis.