Data Science & Predictive Social Analytics
We develop and work with a plethora of analytical and computational tools to manage risk and uncertainty in markets
Data Science describes the field in which researchers identify, gather and interpret data to address urgent, and relevant problems facing society as a whole, and organizations in specific. We develop and work with a plethora of analytical and computational tools to manage risk and uncertainty in markets in times that are characterized by high volume, high velocity, and/or high variety of information assets.
Based on this information, we create insights and make predictions on social behavior, support decisions, and optimize modern marketing processes.
We closely collaborate with different industries to discover their recent challenges and needs in this field. Especially, we encourage and accompany them to not only be confronted with big data, but to raise big questions, frame them with big morality and enact big decisions.
In our recent past, we have mainly worked with consumer goods industry, retailers, online platforms, telecommunications, insurances, service industries and banks. In all our projects, we strive to create long-term partnerships and make clear proof-of concept through field experiments demonstrating the value of our work we believe in.
valuating customers through intelligent, network-based customer-lifetime values, estimating customer churn probabilities and automatized marketing based on complex, multiple networks data
Identifying and managing fraud users, and criminal activity (e.g. artificial IDs, multiple accounts usage, credit card fraud, money laundry) based on several networks of interaction layers (call-detail-records, email, skype, web,…)
Customized marketing campaigning in the retail sector based on past transactions.
Managing team collaboration and enhancing team performance through an intelligent, network-based evaluation system
Exploiting and analyzing complex data to impact strategic decision making and operational planning