  In this paper, we present the data preparation activities that we performed
for the Digital Experience Platform (DXP) project, commissioned and supervised
by Doxee S.p.A.. DXP manages the billing data of the users of different
companies operating in various sectors (electricity and gas, telephony, pay TV,
etc.). This data has to be processed to provide services to the users (e.g.,
interactive billing), but mainly to provide analytics to the companies (e.g.,
churn prediction or user segmentation). We focus on the design of the data
preparation pipeline, describing the challenges that we had to overcome in
order to get the billing data ready to perform analysis on it. We illustrate
the lessons learned by highlighting the key points that could be transferred to
similar projects. Moreover, we report some interesting results and
considerations derived from the preliminary analysis of the prepared data, also
pointing out some possible future directions for the ongoing project, spacing
from big data integration to privacy-preserving temporal record linkage.
