This book is about innovation, big data, and data science seen from a business perspective. Big data is a buzzword nowadays,
and there is a growing necessity within practitioners to understand better the phenomenon, starting from a clear stated definition.
This book aims to be a starting reading for executives who want (and need) to keep the pace with the technological breakthrough
introduced by new analytical techniques and piles of data. Common myths about big data will be explained, and a series of
different strategic approaches will be provided. By browsing the book, it will be possible to learn how to implement a big
data strategy and how to use a maturity framework to monitor the progress of the data science team, as well as how to move
forward from one stage to the next. Crucial challenges related to big data will be discussed, where some of them are more
general - such as ethics, privacy, and ownership - while others concern more specific business situations (e.g., initial public
offering, growth strategies, etc.). The important matter of selecting the right skills and people for an effective team will
be extensively explained, and practical ways to recognize them and understanding their personalities will be provided. Finally,
few relevant technological future trends will be acknowledged (i.e., IoT, Artificial intelligence, blockchain, etc.), especially
for their close relation with the increasing amount of data and our ability to analyse them faster and more effectively.