Big Data - 9781032336992

ISBN: 9781032336992
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$55.99
SKU:
9781032336992
Availability:
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Minimum Purchase:
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Product Details

Author:
Benoit Leclerc, Jesse Cale
Format:
Paperback
Pages:
148
Publisher:
Taylor & Francis (June 13, 2022)
Language:
English
ISBN-13:
9781032336992
Weight:
7.25oz
Dimensions:
6.125" x 9.1875"
File:
TAYLORFRANCIS-TayFran_250528043251213-20250528.xml
Folder:
TAYLORFRANCIS
List Price:
$55.99
Series:
Criminology at the Edge
Case Pack:
10
As low as:
$49.27
Publisher Identifier:
P-CRC
Discount Code:
H
Audience:
College/higher education
Country of Origin:
United States
Pub Discount:
30
Imprint:
Routledge

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Overview

The internet has launched the world into an era into which enormous amounts of data are

generated every day through technologies with both positive and negative consequences.

This often refers to big data . This book explores big data in organisations operating in the

criminology and criminal justice fields.

Big data entails a major disruption in the ways we think about and do things, which

certainly applies to most organisations including those operating in the criminology and

criminal justice fields. Big data is currently disrupting processes in most organisations – how

different organisations collaborate with one another, how organisations develop products

or services, how organisations can identify, recruit, and evaluate talent, how organisations

can make better decisions based on empirical evidence rather than intuition, and how

organisations can quickly implement any transformation plan, to name a few.

All these processes are important to tap into, but two underlying processes are critical

to establish a foundation that will permit organisations to flourish and thrive in the era of

big data – creating a culture more receptive to big data and implementing a systematic data

analytics-driven process within the organisation.

Written in a clear and direct style, this book will appeal to students and scholars in

criminology, criminal justice, sociology, and cultural studies but also to government

agencies, corporate and non-corporate organisations, or virtually any other institution

impacted by big data.

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