SynopsisHR professionals are increasingly expected to understand and apply data analytics, but many don't know where to start. The Practical Guide to HR Analytics offers a clear, practical guide to understanding and applying data to real-world HR issues. From making the business case for analytics to launching an HR analytics function, the book walks readers through the forms, uses, and interpretations of data in an HR context. It covers essential topics like avoiding common pitfalls, visualizing data effectively and using storytelling to communicate findings. With straightforward language and actionable advice, it helps demystify analytics for professionals at all levels. Whether you're new to analytics or seeking to sharpen your skills, this is your go-to resource for data-driven HR., The need for HR professionals to understand and apply data analytics is greater than ever. Today's successful HR professionals must ask insightful questions, understand key terms, and intelligently apply data, but may lack a clear understanding of the many forms, types, applications, interpretations, and capabilities of HR analytics.HR Analytics provides a practical approach to using data to solve real HR challenges in organizations and demystifies analytics with clear guidelines and recommendations for making the business case, starting an HR analytics function, avoiding common pitfalls, presenting data through visualization and storytelling, and much more., The need for HR professionals to understand and apply data analytics is greater than ever. Today's successful HR professionals must ask insightful questions, understand key terms, and intelligently apply data, but may lack a clear understanding of the many forms, types, applications, interpretations, and capabilities of HR analytics. HR Analytics provides a practical approach to using data to solve real HR challenges in organizations and demystifies analytics with clear guidelines and recommendations for making the business case, starting an HR analytics function, avoiding common pitfalls, presenting data through visualization and storytelling, and much more.