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

Marr, Bernard

Hardcover

ISBN 10: 1398614580 ISBN 13: 9781398614581

Publisher: Kogan Page, 2023

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.

About this title

About the Author

Bernard Marr is a bestselling author, keynote speaker, strategic performance consultant, and analytics, KPI, AI & Big Data guru. He has worked with and advised many of the world's best-known organisations. LinkedIn has recently ranked Bernard as the number one LinkedIn Top Voice among UK influncers. He writes on the topic of data and analytics for various publications including Forbes, HuffPost, and LinkedIn Pulse. His blogs and SlideShare presentation of the topic have millions of readers.

Edition details

• Publisher: Kogan Page
• Publication date: 2023
• Language: English
• ISBN 10: 1398614580
• ISBN 13: 9781398614581
• Binding: Hardcover
• Edition number: 2
• Number of pages: 240