Overview

In today's competitive business environment, retaining top talent is essential for organizational success, and employee experience plays a key role in this process. Data-driven strategies enable companies to create a motivating and supportive work environment, leading to increased engagement, productivity, and retention. By measuring and improving the employee experience, organizations can adapt to the evolving needs of their workforce, strengthen their culture, and foster positive leadership that prioritizes employee well-being. These practices not only enhance individual satisfaction but also contribute to the overall success and sustainability of the organization. Approaching Employee Experience Management With Data Science explores the concept of employee experience management, offering a comprehensive overview of its role in improving organizational outcomes. It provides valuable insights, innovative methods, and practical strategies for HR professionals and leaders to enhance employee experience, with a focus on talent acquisition, retention, and overall business success. Covering topics such as artificial intelligence (AI), employer branding, and talent management, this book is an excellent resource for HR professionals, organizational leaders, business executives, researchers, academicians, and more.

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Paula Figueiredo has a degree in Economics with a specialization in Human Resources Economics, a Master in Human Resources Management and a PhD in Management. She is currently a professor at higher education institutions, and she has also been the Director of an institution since 2019. Paula has 20 years of experience in the business area with functions of direction, coordination, and consultancy. Throughout her professional experience, she has collaborated on leadership development projects. At the research level, she has developed research on Human Resource Development, more specifically Leadership Development in organizations, with some publications in scientific journals and conferences.

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