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Big data analytics for entrepreneuri...

Sedkaoui, Soraya,

Big data analytics for entrepreneurial success

Record Type:	Language materials, printed : Monograph/item
Title/Author:	Big data analytics for entrepreneurial success/ by Soraya Sedkaoui.
Author:	Sedkaoui, Soraya,
Published:	Hershey, Pennsylvania :IGI Global, : [2019],
Description:	1 online resource (xx, 300 p.)
Subject:	Management - Statistical methods. -
Online resource:	http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/978-1-5225-7609-9
ISBN:	9781522576105 (e-book)

Big data analytics for entrepreneurial success
Sedkaoui, Soraya,

Big data analytics for entrepreneurial success[electronic resource] /by Soraya Sedkaoui. - Hershey, Pennsylvania :IGI Global,[2019] - 1 online resource (xx, 300 p.)

Includes bibliographical references and index.

Section 1. Big data and the business context: mania vs. phobia. Chapter 1. Big data, who are you? ; Chapter 2. What the 3VS acronym didn't put into perspective? ; Chapter 3. Big data applications in business -- Section 2. The hello world of big data analytics. Chapter 4. First of all, understand data analytics context and changes ; Chapter 5. Understanding data analytics is good but knowing how to use it is better! ; Chapter 6. Techniques and methods that help to make big data the simplest recipe for success -- Section 3. Entrepreneur! welcome to your data-driven universe. Chapter 7. Entrepreneurship and big data ; Chapter 8. Plan and rules for data analysis success: a roadmap ; Chapter 9. Big data analytics in action: examples.

Restricted to subscribers or individual electronic text purchasers.

"This book addresses the issue of big data analytics from a practical angle for entrepreneurs with a pedagogical explanation of the operation of its main methods and concrete demonstrations of their use. It also builds a common set of concepts, terms, references, methods, applications and approaches in this area"--Provided by publisher.

ISBN: 9781522576105 (e-book)Subjects--Topical Terms:

585959
Management
--Statistical methods.

LC Class. No.: HD30.215 / .S43 2019e

Dewey Class. No.: 658/.0557

Big data analytics for entrepreneurial success
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020 $a 9781522576105 (e-book)
020 $a 9781522576099 (hardback)
035 $a (OCoLC)1057687151
035 $a 1081021143
040 $a CaBNVSL $b eng $c CaBNVSL $d CaBNVSL
050 0 0 $a HD30.215 $b .S43 2019e
082 0 0 $a 658/.0557 $2 23
100 1 $a Sedkaoui, Soraya, $e author. $3 1234755
245 1 0 $a Big data analytics for entrepreneurial success $h [electronic resource] / $c by Soraya Sedkaoui.
260 $a Hershey, Pennsylvania : $b IGI Global, $c [2019]
300 $a 1 online resource (xx, 300 p.)
504 $a Includes bibliographical references and index.
505 0 $a Section 1. Big data and the business context: mania vs. phobia. Chapter 1. Big data, who are you? ; Chapter 2. What the 3VS acronym didn't put into perspective? ; Chapter 3. Big data applications in business -- Section 2. The hello world of big data analytics. Chapter 4. First of all, understand data analytics context and changes ; Chapter 5. Understanding data analytics is good but knowing how to use it is better! ; Chapter 6. Techniques and methods that help to make big data the simplest recipe for success -- Section 3. Entrepreneur! welcome to your data-driven universe. Chapter 7. Entrepreneurship and big data ; Chapter 8. Plan and rules for data analysis success: a roadmap ; Chapter 9. Big data analytics in action: examples.
506 $a Restricted to subscribers or individual electronic text purchasers.
520 3 $a "This book addresses the issue of big data analytics from a practical angle for entrepreneurs with a pedagogical explanation of the operation of its main methods and concrete demonstrations of their use. It also builds a common set of concepts, terms, references, methods, applications and approaches in this area"--Provided by publisher.
650 0 $a Management $x Statistical methods. $3 585959
650 0 $a Business planning $x Statistical methods. $3 981912
650 0 $a Big data. $3 981821
650 0 $a Entrepreneurship. $3 559908
856 4 0 $u http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/978-1-5225-7609-9

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