People Analytics in the Era of Big Data

People Analytics in the Era of Big Data
Author : Jean Paul Isson
Publisher : John Wiley & Sons
Total Pages : 416
Release : 2016-04-25
ISBN 10 : 9781119050780
ISBN 13 : 1119050782
Language : EN, FR, DE, ES & NL

People Analytics in the Era of Big Data Book Description:

Apply predictive analytics throughout all stages of workforce management People Analytics in the Era of Big Data provides a blueprint for leveraging your talent pool through the use of data analytics. Written by the Global Vice President of Business Intelligence and Predictive Analytics at Monster Worldwide, this book is packed full of actionable insights to help you source, recruit, acquire, engage, retain, promote, and manage the exceptional talent your organization needs. With a unique approach that applies analytics to every stage of the hiring process and the entire workforce planning and management cycle, this informative guide provides the key perspective that brings analytics into HR in a truly useful way. You're already inundated with disparate employee data, so why not mine that data for insights that add value to your organization and strengthen your workforce? This book presents a practical framework for real-world talent analytics, backed by groundbreaking examples of workforce analytics in action across the U.S., Canada, Europe, Asia, and Australia. Leverage predictive analytics throughout the hiring process Utilize analytics techniques for more effective workforce management Learn how people analytics benefits organizations of all sizes in various industries Integrate analytics into HR practices seamlessly and thoroughly Corporate executives need fact-based insights into what will happen with their talent. Who should you hire? Who should you promote? Who are the top or bottom performers, and why? Who is at risk to quit, and why? Analytics can provide these answers, and give you insights based on quantifiable data instead of gut feeling and subjective assessment. People Analytics in the Era of Big Data is the essential guide to optimizing your workforce with the tools already at your disposal.


RELATED BOOKS:
Scalable Big Data Architecture
Language: en
Pages: 141
Authors: Bahaaldine Azarmi
Categories: Computers
Type: BOOK - Published: 2015-12-31 - Publisher: Apress

This book highlights the different types of data architecture and illustrates the many possibilities hidden behind the term "Big Data", from the usage of No-SQL databases to the deployment of stream analytics architecture, machine learning, and governance. Scalable Big Data Architecture covers real-world, concrete industry use cases that leverage complex
People Analytics in the Era of Big Data
Language: en
Pages: 416
Authors: Jean Paul Isson, Jesse S. Harriott
Categories: Business & Economics
Type: BOOK - Published: 2016-04-25 - Publisher: John Wiley & Sons

Apply predictive analytics throughout all stages of workforce management People Analytics in the Era of Big Data provides a blueprint for leveraging your talent pool through the use of data analytics. Written by the Global Vice President of Business Intelligence and Predictive Analytics at Monster Worldwide, this book is packed
Big Data
Language: en
Pages: 368
Authors: Balamurugan Balusamy, Nandhini Abirami R, Seifedine Kadry, Amir H. Gandomi
Categories: Mathematics
Type: BOOK - Published: 2021-03-15 - Publisher: John Wiley & Sons

Learn Big Data from the ground up with this complete and up-to-date resource from leaders in the field Big Data: Concepts, Technology, and Architecture delivers a comprehensive treatment of Big Data tools, terminology, and technology perfectly suited to a wide range of business professionals, academic researchers, and students. Beginning with
Big Data
Language: en
Pages: 122
Authors: Saswat Sarangi, Pankaj Sharma
Categories: Social Science
Type: BOOK - Published: 2019-09-09 - Publisher: Taylor & Francis

Big Data is everywhere. It shapes our lives in more ways than we know and understand. This comprehensive introduction unravels the complex terabytes that will continue to shape our lives in ways imagined and unimagined. Drawing on case studies like Amazon, Facebook, the FIFA World Cup and the Aadhaar scheme,
Framing Big Data
Language: en
Pages: 116
Authors: Maria Cristina Paganoni
Categories: Language Arts & Disciplines
Type: BOOK - Published: 2019-07-03 - Publisher: Springer

This book addresses big data as a socio-technical construct with huge potential for innovation in key sectors such as healthcare, government and business. Big data and its increasingly widespread use in such influential spheres can generate ethically controversial decisions, including questions surrounding privacy, consent and accountability. This book attempts to