Enterprise Insight Analysis

The aim of the project is to advance the Data Curation and Analytics techniques to help organizations turn overwhelming and disparate data into actionable insight and intelligence. The solution helps organizations develop a comprehensive understanding of their (open, private and social) data by analyzing current and historical facts and to make predictions about future/unknown events. The combination of machine-led analytics (encompassing a variety of statistical techniques from data mining, predictive modelling, and machine learning) and human-led analysis (crowdsourcing and end-user analytics) capabilities will lead in designing a system to quickly find hidden connections and critical patterns buried in internal, external and open-source data.