HR Analytics: The What, Why and How... | 被動收入的投資秘訣 - 2024年7月

HR Analytics: The What, Why and How...

作者:Smith, Tracey
出版社:
出版日期:2013年10月23日
ISBN:9781492739166
語言:繁體中文
售價:898元

Updated in 2019, this book introduces the topic of HR analytics and the business value it can create. A brief history of HR analytics is provided along with the topic of selecting metrics to encourage desired business outcomes. Dashboard design and the two most popular tools for custom-made dashboards are presented. Practical examples are described that are easy for a beginner to understand. Some of the challenges of introducing analytics and building analytics teams are discussed.This book is not intended to teach mathematics, statistics, or scripting languages used in analytics. It is intended for a non-mathematical audience to understand the value of HR analytics. It is not designed to educate the expert that conducts the analysis.The author offers a self-paced, online class with hands-on assignments and quizzes at: https: //www.udemy.com/course/the-light-and-dark-side-of-hrpeople-analytics/?couponCode=NI-WEB9


Tracey has been recognized as one of the "Top 50 Global Influencers in HR Analytics" and one of the "Top 15 HR Analytics Experts to Follow in 2017." Tracey’s career spans the areas of mechanical engineering, supply chain and human resources in multiple industries. Prior to launching her own consulting practice in 2013, Tracey led global strategic initiatives for FedEx Express World Headquarters. Previous positions include leading process improvement projects in supply chain and creating mathematical simulations of engineering products for a global automotive company. Tracey holds degrees in Applied Mathematics, Mechanical Engineering and Business from well-recognized universities in Canada and the U.S. Tracey is the author of multiple books and presents at conferences, industry events and corporate functions, primarily on the strategic benefits of data analysis and its contribution to the bottom line. Tracey has over 25 years of experience in applying analytics to real business problems.


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