Big Data (Hardcover)

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.

General

Imprint:	Routledge
Country of origin:	United Kingdom
Series:	Criminology at the Edge
Release date:	February 2020
First published:	2020
Editors:	Benoit Leclerc • Jesse Cale
Dimensions:	234 x 156 x 15mm (L x W x T)
Format:	Hardcover
Pages:	134
ISBN-13:	978-1-138-49278-3
Categories:	Books > Social sciences > Sociology, social studies > Crime & criminology > General Books > Computing & IT > Applications of computing > Databases > General Promotions
LSN:	1-138-49278-7
Barcode:	9781138492783

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