Data-Driven HR: How to Use AI, Analytics and Data to Drive Performance

✍ Scribed by Bernard Marr

• Publisher: Kogan Page
• Year: 2023
• Tongue: English
• Leaves: 241
• Edition: 2
• Category: Library

✦ Synopsis

How can HR professionals utilize and leverage their organization's data effectively, with the use of AI, for more talent attraction, better employee engagement and higher talent retention to ultimately drive performance?

AI is now an integral part of being data-driven. With this updated edition of Data-Driven HR, practitioners can unlock business potential and success through data and analytics. Covering topics such as recruitment, employee engagement, performance management, wellbeing and training, HR practitioners can benefit from knowing how to really be data-driven through the use of data and AI.

HR teams will learn how to identify business goals, scrutinize useful sources of data and gain rich and diverse insights from their vast amounts of data. This book brings guidance on how to manage challenges that come with data and AI, as well as how to responsibly and transparently use data to improve decision making. It also includes predictive analytics and how to place warning systems into databases for any potential workforce issues. Packed with practical advice, key takeaways and real-life examples, this is essential reading for all HR professionals looking to make a measurable difference in their organizations.

✦ Table of Contents

Cover
Contents
01 How data and AI are transforming HR
HR and the ‘intelligence revolution’
Defining intelligent HR
A (brief) word on automation
How to use this book
Key takeaways
Notes
PART ONE Laying the groundwork for data-driven, AI-enabled HR
02 How data and AI have come to revolutionize HR
The emergence of HR and its early evolution
HR in the 21st century: The rise of people analytics
The changing technology landscape – and its impact on HR
The changing nature of work
New skills for a new era of work
So what lies ahead for data-driven HR?
Key takeaways
Notes
03 The data, analytics and AI tools available to HR
The amazing capabilities of analytics and AI tools (and how to use them in HR)
Tapping into other data-driven and AI-enabled tech
The secret sauce: Data, data and more data
Key takeaways
Notes
04 Challenges and pitfalls of AI and data-driven HR
Understanding the value of data
The biggest data-related challenges
AI pitfalls
Key takeaways
Notes
05 Finding the right ways to use data and AI in HR
Why it all starts with strategy
Begin with your objectives
Creating your strategy
Making the business case for data- and AI-driven HR
Returning to your strategy in the future
Key takeaways
Notes
PART TWO Data-driven and AI-enabled HR in practice
06 Better HR insights and decision making
The role of HR analytics
The evolution of HR analytics
So, what can be measured and analysed with HR analytics?
Using HR analytics to inform decision making: Reporting and dashboards
Key takeaways
Notes
07 Recruitment and candidate selection
Boosting your employer brand
Identifying the most effective recruitment channels for you
Identifying and assessing the best candidates for your business
AI-enhanced automation in recruitment
Recruitment in the metaverse era
Key takeaways
Notes
08 Improving employee onboarding
Onboarding in the AI era
Onboarding new hires in the metaverse
Key takeaways
Notes
09 Performance monitoring and management
Lessons from the world of sports
Intelligently measuring employee performance
Intelligently reviewing employee performance (and not on an annual basis)
Lessons from Amazon: How not to handle people monitoring and reviews
Finding the right balance between trusting and tracking
Key takeaways
Notes
10 Data-driven employee training and development
How data and AI are positively disrupting the education sector
What skills does your organization need?
The major trends in data-driven workplace learning
The cutting edge: Incorporating VR, AR, digital twins and the metaverse
A quick look at the downsides of data-driven training and development
Key takeaways
Notes
11 Employee safety and wellbeing
Improving employee safety with data and analytics
The cutting edge of workplace safety: VR and AR
Improving employee wellbeing and wellness
The cutting edge of wellness: Tapping into VR and the metaverse
The potential downsides of data-driven employee safety and wellness
Key takeaways
Notes
PART THREE Making data-driven and AI-enabled HR happen
12 Identifying the use cases for your organization
Why talk about use cases now?
Identifying potential use cases
Fleshing out your use cases
Linking your use cases to your wider data/AI strategy
Learning from other businesses that have been on the data and AI journey
Key takeaways
13 Building skills and aligning culture
What skills do HR professionals need?
Data literacy and HR
Addressing the data skills shortage
Preparing for a cultural shift in HR and the organization
Building an AI and data culture – practical steps
Key takeaways
Notes
14 Creating the technology and data infrastructure
Your HR technology strategy – and how it fits with the wider business strategy
Putting in place the right data and AI infrastructure
Key takeaways
Notes
15 The future of HR
Future trends that will shape HR
Decentralized and fully remote work structures
Building the workplaces we want
Tell me what you think
Index