Több mint 4 millió cím angol és más nyelveken! Fedezd fel új történetedet még ma!

Big Data Analytics: A Management Perspective

Name: Big Data Analytics: A Management Perspective
Brand: Springer International Publishing AG
SKU: 9783319817866
Price: 51266 HUF
Availability: InStock

Szerző: FRANCESCO COREA

Nyelv:

Kötés: Puha kötésű

Kiadó: Springer International Publishing AG

Elérhetőség: Beszállítói készleten alacsony példányszámban

Küldés 13-18 napon belül

51 266 Ft

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

Információk a könyvről

Szerző

FRANCESCO COREA

Nyelv

Angol

Kötés

Könyv - Puha kötésű

Kiadva

2018

oldal

EAN

9783319817866

ISBN

9783319817866

Enbook ID

19755611

Kiadó

Springer International Publishing AG

Súly

454

Méretek

155 x 235 x 3

Teljes leírás

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.