BUS3 152 Lecture Notes - Lecture 1: Employee Retention, Big Data, Absenteeism
Document Summary
Hr analytics hiring, training, retention, performance, etc. Goal is to improve employee performance and employee retention, etc. Not collecting how employees are performing their jobs, but . How to improve the processes of assessing data to make informed decisions. The amount of data from myriad sources. The types of data: structured, semi-structured, unstructured. Speed at which big data is generated. Convincing leaders and professionals of the value of the scientific process. Organizations that have added an hr analytics team. What are we going to do about it. Informs the data to be collected and the type of research design to be used. Step 4: testing the hypothesis via experimentation. Biases in modeling building, testing, and interpretation. Depends on the field of work and the company culture. Considerations for a sustainable hr analytics function: Embed hr analytics into hr and organizational strategies. Integrate hr analytics into the culture of.
