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Big data for small business for dummies / by Bernard Marr.

O'Reilly Online Learning: Academic/Public Library Edition Available online

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Format:
Book
Author/Creator:
Marr, Bernard, author.
Series:
--For dummies.
For dummies
Language:
English
Subjects (All):
Small business--Data processing.
Small business.
Big data.
Data mining.
Small business--Management.
Organizational effectiveness--Data processing.
Organizational effectiveness.
Decision making--Data processing.
Decision making.
Business planning--Data processing.
Business planning.
Information technology--Management.
Information technology.
Management--Statistical methods.
Management.
Decision making--Statistical methods.
Physical Description:
1 online resource (xi, 242 pages) : illustrations (some color).
Place of Publication:
Chichester, West Sussex : John Wiley & Sons, Ltd., 2016.
Summary:
This book explains what big data actually is and how you can analyze and use it to improve your business. It shows how to use big data to make sense of user activity on social networks and customer transactions; demonstrates how to capture, store, search, share, analyze and visualize analytics; helps turn your data into actionable insights; and explains how to use big data to your advantage in order to transform your small business.
Contents:
Introduction
Getting started with big data basics. Introducing big data for small businesses ; Digging into the essence of big data ; Identifying big data uses in small business
Unpacking big data. Unpacking the many types of data ; Discovering new forms of data ; Understanding the technology changes that underpin big data
Brave new world for small business. Focusing on the value of insights ; Developing and accessing big data competencies ; Building a big data infrastructure
Show time! Making big data work for small business. Creating a big data strategy ; Applying data in your business : decision making ; Applying data in your business : operations ; Creating a big data culture in your business
The part of tens. Ten biggest big data mistakes to avoid ; Ten free big data sources ; Ten key big data collection tools.
Notes:
Includes index.
Description based on online resource; title from PDF title page (ebrary, viewed April 7, 2016).
ISBN:
9781119027584
1119027586
9781119027041
1119027047
OCLC:
949811158

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