The plethora of datasets available to Data Scientist inside any big corporation transfers us a great power that might convey important consequences. In numerous situations these datasets represent companies´ clients and their activities with them. In this talk we will analyze the best practices to do “evil with data”, by which we mean actions such as to promote clients churn, reduce products benefits or provide the worst client service, to mention just a few examples that can be achieved through data analysis. We will review the most modern modelling techniques that can ensure that our potential evil plans have their intended consequences.
Escuela Politécnica Superior | Universidad Autónoma de Madrid | Francisco Tomás y Valiente, 11 | 28049 Madrid | Tel.: +34 91 497 2222 | e-mail: informacion.eps@uam.es
