PREDICTIVE ANALYTICS: EMPLOYEE ATTRITION Harvard Case Solution & Analysis

PREDICTIVE ANALYTICS: EMPLOYEE ATTRITION  Case Solution

This software application is to accompany the case. Shivani and her group lastly got an access to the open information of near to 1500 participants. This information gets on the workers' group in addition to expert variables like age, gender and variety of years of experience, task function and so on. Being a trainee of last year of her Management program, she needs to perform term job for her elective course entitled 'Company Analytical'. As the function and the goal of making use of this information are not readily available, group had actually invested rather substantial quantity of your time to comprehend the information. While doing so, they found that the information were connected to workers characteristics like age, academic background, gender, task function, marital status, overall years of work experience and years of work experience in the existing function and more notably the attrition status (i.e., whether the worker is still operating in this company or stop) and so on. Shivani being a trainee of Human Resources expertise proposed to the group 'why not we will make an effort to anticipate the attrition status of an employee utilizing the offered information'. As the majority of the variables are function of attrition, the group had actually accepted the proposition. So, Shivani and her group are anticipated to propose a design that can possibly be utilized to forecast the attrition status of an employee i.e., to forecast the possibilities of an employee not giving up the company utilizing employee's readily available information.

This is just an excerpt. This case is about  Business

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