Data-driven HR
how to use AI, analytics and data to drive performance
- ISBN: 9781398614567
- Editorial: Kogan Page Ltd.
- Fecha de la edición: 2024
- Lugar de la edición: London. Reino Unido
- Edición número: 2n ed.
- Encuadernación: Rústica
- Medidas: 24 cm
- Nº Pág.: 304
- Idiomas: Inglés
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.
How data and AI are transforming HR
Part one Laying the groundwork for data-driven, AI - enable HR - How data and AI have come to revolutionize HR
The data, analytics, and AI tools available to HR
Challenges and pitfalls of AI and data-driven HR
Finding the right ways to use data and AI in HR
Part two Data-driven and AI-enabled HR in practice - Better HR insights and decision making - Recruitment and candidate selection - Improving employee onboarding - Performance monitoring and management - Data-driven employee training and development - Employee safety and well-being - Part three Making data-driven and AI-enabled HR happen - Identifying the use cases for your organization - Building skills and aligning culture - Creating the technology and data infrastructure - The future of HR
