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Big Data Analytics: A Management Perspective

Name: Big Data Analytics: A Management Perspective
Brand: Springer International Publishing AG
SKU: 9783319817866
Price: 134.59 EUR
Availability: InStock

Autor: FRANCESCO COREA

Jazyk:

Väzba: Brožovaná

Vydavateľ: Springer International Publishing AG

Dostupnosť: Skladom u dodávateľa v malom množstve

Odosielame za 13-18 dní

134.59 €

This book is about innovation, big data, and data science seen from a business perspective. Big data...

Informácie o knihe

Autor

FRANCESCO COREA

Jazyk

Angličtina

Väzba

Kniha - Brožovaná

Vydalo

2018

Stránok

EAN

9783319817866

ISBN

9783319817866

Enbook ID

19755611

Vydavateľ

Springer International Publishing AG

Hmotnosť

454

Rozmery

155 x 235 x 3

Kompletný popis

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.