
Data-Driven HR
Creating Value with HR Metrics and HR Analytics
Paperback | 10 September 2019
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278 Pages
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Data-Driven HR: Create Value with HR Metrics and HR Analytics
Which job applicants have hidden talents? Which job roles are most prone to long-term absenteeism? Which of your teams really satisfy customers? Many organizations wrestle with these questions, even as they sit atop a treasure trove of valuable information collected by their HR information systems and other business software.
This book, a Dutch best seller now translated into English, shows how to use the data you already have to answer burning questions like these. It demonstrates how you can progressively refine your HR analytics by defining, implementing, and monitoring HR interventions, policy, and strategy. This data-driven approach puts HR in a better position to help the organization improve its performance and increase employees’ productivity and job satisfaction. HR metrics and HR analytics help you create value for the organization by: formulating business questions that are relevant to HR; using all available data, including big data; to reveal patterns and correlations within the organization; proactively identifying trends, risks, and opportunities; and developing predictive models.
“Human Resource Management (HRM) is crucial for the performance of organizations. HR professionals and HR scholars struggle to reform HRM into a strong profession with high reputation and credibility. Important ways to enhance the reputation and credibility of HRM are HR Metrics and HR Analytics. The book written by Irma Doze and Toine Al is an excellent tool to learn more about these methods. A “must read” for both management students, HR professionals, and HR scholars.”
Karin Sanders, Professor HRM, School of Management, UNSW Business School, Sydney, Australia
“HR analytics will be a game-changer in the long term. It will ensure that HRM is based on systematic scientific research that provides evidence of whether something works or not.”
Jorrit van der Togt, EVP of HR Strategy & Internal Communications, Shell
This book is for anyone who is interested in understanding the advantages of data-driven HR policy and applying data analytics and related disciplines within their own organization and HR practice. Data-driven HR has advantages for all types of commercial, noncommercial, and government organizations. The book has been written with a number of audiences in mind: HR managers and directors, HR business partners, current and future HR analysts, HR consultants, business analysts, controllers and line managers who want to deepen their knowledge of the subject and make use of the opportunities presented by HR analytics to help them do their work.
This edition of the book, the first to appear in English, has also recently been revised to add an updated chapter on privacy and the protection of personal data, information on hypothesis-driven analysis versus data mining, artificial intelligence (AI), machine learning, and self-learning software, and information on the Voice of the Employee.
“This book is one of a kind. It’s substantial but deserves kudos for its thoroughness and readability.”
Mark de Lat, director, Randstad Nederland
“HR analytics will be essential for HR to continue to make a critical contribution to organizational strategy in the future.”
Hein Knaapen, Global HR Director, ING
Industry Reviews
“This book is one of a kind. It’s substantial but deserves kudos for its thoroughness and readability.”
Mark de Lat, director, Randstad Nederland
“HR analytics will be a game-changer in the long term. It will ensure that HRM is based on systematic scientific research that provides evidence of whether something works or not.”
Jorrit van der Togt, EVP of HR Strategy & Internal Communications, Shell
“A magnificent piece of work; sound, thorough, and perfectly readable even for those who know little or nothing about HR analytics.”
Tiny Beks, Lecturer in HRM, Avans Hogeschool
“HR analytics will be essential for HR to continue to make a critical contribution to organizational strategy in the future.”
Hein Knaapen, Global HR Director, ING
“Very practically oriented without ever losing sight of the theory and without requiring the reader to have any prior knowledge of statistics or data analysis. I heartily recommend this book to every HR professional—period.”
Bas van de Haterd, speaker, author, and consultant
“HR analytics gives us a method to better understand the effect of HR policies and activities.”
Patrick Coolen, Manager of HR Metrics & Analytics, ABN AMRO
“Data-driven HR policy is the future, and this book has everything it needs to become a standard text for HRM education and training. Recommended for anyone who wants to get into personnel management.”
Michiel van Asbeck, director, RaymakersvanderBruggen
“Wonderful book! Great storylines—and very thorough.”
Gerard Evers, director of EuroHRM,
former professor of Human Capital Valuation, Tilburg University
1 What is HR analytics?
2 Why use HR analytics?
3 HR analytics as part of a continuous organizational process
3.1 The data-driven HR policy life cycle
3.2 HR analytics and the HR policy life cycle
3.3 Measuring HR: how to quantify personnel and organizations
3.4 Expanding the HR policy life cycle with HR analytics
3.5 The eight process steps of a data-driven HR policy life cycle
3.6 Roles and responsibilities of managers, HR managers, and HR analysts
3.7 The data-driven HR policy life cycle is complete
4 Step 1: Determine the business question
4.1 The importance of a good business question
4.2 Formulating a business question
4.3 The ISBK method
4.4 Success factors and pitfalls
5 Step 2: Translate the business question into analytics problems
5.1 A deeper dive into business questions
5.2 Defining the analytics problem
5.3 Determining the best type of analysis
5.4 Creating an issue tree
5.5 Scope: what to include in (and exclude from) the analysis
6 Step 3: Collect data
6.1 Assembling data sources from the outside in
6.5 Using primary research to gain more insight into the “why”
6.6 Using big data for HR analytics
7 Step 4: Prepare the data
7.1 Data management: look before you leap
7.2 The difference between raw and aggregated data
7.3 Organizing your data intelligently
7.4 Creating a library of all data definitions
7.5 Data hygiene delivers results
8 Step 5: Analyze the data
8.1 From description to prediction by way of explanation
8.2 Not all data is the same
8.3 Descriptive analytics
8.5 Diagnostic analytics
8.7 Correlation is not causation
8.8 Predictive analytics
8.9 Prescriptive analytics
8.11 Analyzing sample data
8.12 Conclusions and insights
9 Step 6: Report and visualize the results and make recommendations
9.1 Reporting using a pyramid structure
9.3 Reinforcing your message with data visualizations
9.7 Making reports actionable
9.8 Getting results as an advisor
10 Step 7: Translate insights into HR policy and implement it
11 Step 8: Measure and monitor the results
11.1 Metrics or performance indicators
11.2 Key performance indicators (KPIs)
11.4 Using analytics to select the right target value
11.5 Measuring the results of an analytics project
11.6 HR-wide metrics
11.7 The HR scorecard
11.8 The lifetime value of an employee as a performance indicator
11.10 Data visualization in dashboards and metrics reports
12 Organizing and implementing the HR analytics process
12.1 Start small, no matter how large your ambitions
12.4 What tools and information systems are needed for HR analytics?
12.6 What competencies are needed for HR analytics?
13 Privacy: using personal data for HR analytics
13.1 Privacy is a hot-button issue
13.2 Privacy and the processing of personal data
13.3 What are employers permitted to do with personal data?
13.4 When is data considered to be personal data?
13.5 Fundamental principles of processing personal data safely
13.6 Employee monitoring: how far can you go?
13.7 Providing personal data to data processors or third parties
13.8 How long can employee data be stored for analytics purposes?
13.9 The GDPR requires privacy management
13.10 Transparency, trust, and full disclosure
14 Getting to work with HR analytics
14.1 Pitfall: won’t this focus on data overwhelm the human side of HR?
14.5 Self-evaluation: where is the organization currently?
14.7 Maturity model for HR analytics within the organization
ISBN: 9789090321936
ISBN-10: 9090321934
Published: 10th September 2019
Format: Paperback
Language: English
Number of Pages: 278
Audience: Professional and Scholarly
Publisher: IRTI Intelligence Publishing Amsterdam
Dimensions (cm): 24.41 x 16.99 x 1.93
Weight (kg): 0.6
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