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Introduction to People Analytics

2020-04-03 Business & Economics
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Release : 2020-04-03
Genre : Business & Economics
Kind : eBook
Book Rating : 82X/5 ( reviews)

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Book Synopsis Introduction to People Analytics by : Nadeem Khan

Download or read book Introduction to People Analytics written by Nadeem Khan. This book was released on 2020-04-03. Available in PDF, EPUB and Kindle. Book excerpt: An understanding of people analytics is a crucial skill for all HR professionals. No longer limited to employees in data teams or those with analyst in their job titles, people analytics is now an integral part of every HR job. Introduction to People Analytics allows all HR professionals to get to grips with analytics, feel confident in their ability to handle employee and organizational data and use analytics to move from opinions to insights. From where to find data in an organization, how to collect it and analyse it through to how to use these findings to add business value, Introduction to People Analytics is essential reading for all HR professionals. With case studies and thought leadership insights from companies who have leveraged people analytics to improve culture and employee engagement, increase performance and reduce costs including NHS, Brompton Bikes, British Heart Foundation, King, Experian and AstraZeneca, FIS and Swarovski, this book shows how and where HR analytics can make a tangible difference to organizations. There is also expert guidance and practical advice on how to embed analytics into HR processes and adopt a data-driven approach to all workplace activities.

People Analytics For Dummies

2019-03-19 Business & Economics
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Release : 2019-03-19
Genre : Business & Economics
Kind : eBook
Book Rating : 769/5 ( reviews)

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Book Synopsis People Analytics For Dummies by : Mike West

Download or read book People Analytics For Dummies written by Mike West. This book was released on 2019-03-19. Available in PDF, EPUB and Kindle. Book excerpt: Maximize performance with better data Developing a successful workforce requires more than a gut check. Data can help guide your decisions on everything from where to seat a team to optimizing production processes to engaging with your employees in ways that ring true to them. People analytics is the study of your number one business asset—your people—and this book shows you how to collect data, analyze that data, and then apply your findings to create a happier and more engaged workforce. Start a people analytics project Work with qualitative data Collect data via communications Find the right tools and approach for analyzing data If your organization is ready to better understand why high performers leave, why one department has more personnel issues than another, and why employees violate, People Analytics For Dummies makes it easier.

Data-Driven HR

2018-04-03 Business & Economics
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Release : 2018-04-03
Genre : Business & Economics
Kind : eBook
Book Rating : 478/5 ( reviews)

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Book Synopsis Data-Driven HR by : Bernard Marr

Download or read book Data-Driven HR written by Bernard Marr. This book was released on 2018-04-03. Available in PDF, EPUB and Kindle. Book excerpt: FINALIST: Business Book Awards 2019 - HR and Management Category Traditionally seen as a purely people function unconcerned with numbers, HR is now uniquely placed to use company data to drive performance, both of the people in the organization and the organization as a whole. Data-Driven HR is a practical guide which enables HR professionals to leverage the value of the vast amount of data available at their fingertips. Covering how to identify the most useful sources of data, collect information in a transparent way that is in line with data protection requirements and turn this data into tangible insights, this book marks a turning point for the HR profession. Covering all the key elements of HR including recruitment, employee engagement, performance management, wellbeing and training, Data-Driven HR examines the ways data can contribute to organizational success by, among other things, optimizing processes, driving performance and improving HR decision making. Packed with case studies and real-life examples, this is essential reading for all HR professionals looking to make a measurable difference in their organizations.

Introducing HR Analytics with Machine Learning

2021-06-14 Psychology
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Release : 2021-06-14
Genre : Psychology
Kind : eBook
Book Rating : 269/5 ( reviews)

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Book Synopsis Introducing HR Analytics with Machine Learning by : Christopher M. Rosett

Download or read book Introducing HR Analytics with Machine Learning written by Christopher M. Rosett. This book was released on 2021-06-14. Available in PDF, EPUB and Kindle. Book excerpt: This book directly addresses the explosion of literature about leveraging analytics with employee data and how organizational psychologists and practitioners can harness new information to help guide positive change in the workplace. In order for today’s organizational psychologists to successfully work with their partners they must go beyond behavioral science into the realms of computing and business acumen. Similarly, today’s data scientists must appreciate the unique aspects of behavioral data and the special circumstances which surround HR data and HR systems. Finally, traditional HR professionals must become familiar with research methods, statistics, and data systems in order to collaborate with these new specialized partners and teams. Despite the increasing importance of this diversity of skill, many organizations are still unprepared to build teams with the comprehensive skills necessary to have high performing HR Analytics functions. And importantly, all these considerations are magnified by the introduction and acceleration of machine learning in HR. This book will serve as an introduction to these areas and provide guidance on building the connectivity across domains required to establish well-rounded skills for individuals and best practices for organizations when beginning to apply advanced analytics to workforce data. It will also introduce machine learning and where it fits within the larger HR Analytics framework by explaining many of its basic tenets and methodologies. By the end of the book, readers will understand the skills required to do advanced HR analytics well, as well as how to begin designing and applying machine learning within a larger human capital strategy.

Handbook of Regression Modeling in People Analytics

2021-07-29 Business & Economics
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Release : 2021-07-29
Genre : Business & Economics
Kind : eBook
Book Rating : 897/5 ( reviews)

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Book Synopsis Handbook of Regression Modeling in People Analytics by : Keith McNulty

Download or read book Handbook of Regression Modeling in People Analytics written by Keith McNulty. This book was released on 2021-07-29. Available in PDF, EPUB and Kindle. Book excerpt: Despite the recent rapid growth in machine learning and predictive analytics, many of the statistical questions that are faced by researchers and practitioners still involve explaining why something is happening. Regression analysis is the best ‘swiss army knife’ we have for answering these kinds of questions. This book is a learning resource on inferential statistics and regression analysis. It teaches how to do a wide range of statistical analyses in both R and in Python, ranging from simple hypothesis testing to advanced multivariate modelling. Although it is primarily focused on examples related to the analysis of people and talent, the methods easily transfer to any discipline. The book hits a ‘sweet spot’ where there is just enough mathematical theory to support a strong understanding of the methods, but with a step-by-step guide and easily reproducible examples and code, so that the methods can be put into practice immediately. This makes the book accessible to a wide readership, from public and private sector analysts and practitioners to students and researchers. Key Features: 16 accompanying datasets across a wide range of contexts (e.g. academic, corporate, sports, marketing) Clear step-by-step instructions on executing the analyses Clear guidance on how to interpret results Primary instruction in R but added sections for Python coders Discussion exercises and data exercises for each of the main chapters Final chapter of practice material and datasets ideal for class homework or project work.

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