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Big Data
Contributor(s): Leclerc, Benoit (Editor), Cale, Jesse (Editor)

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ISBN: 1138492787     ISBN-13: 9781138492783
Publisher: Routledge
OUR PRICE: $161.50  

Binding Type: Hardcover - See All Available Formats & Editions
Published: February 2020
Qty:
Additional Information
BISAC Categories:
- Computers | Data Modeling & Design
- Social Science | Criminology
- Social Science | Statistics
Dewey: 364.028
LCCN: 2019048736
Physical Information: 0.7" H x 6.2" W x 9.1" L (0.90 lbs) 134 pages
Features: Bibliography, Index
 
Descriptions, Reviews, Etc.
Publisher Description:

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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