Yashas BS

In contemporary firms, HR analytics is essential for supporting strategic decision-making processes pertaining to human resource management. With the use of predictive modeling approaches, this article gives a thorough study of HR data and provides corporate leadership with actionable insights. Future attrition rates are forecast and previous attrition trends are analyzed with the use of logistic regression, random forest, and decision tree classifiers. The decision tree classifier is found to… Show more

In contemporary firms, HR analytics is essential for supporting strategic decision-making processes pertaining to human resource management. With the use of predictive modeling approaches, this article gives a thorough study of HR data and provides corporate leadership with actionable insights. Future attrition rates are forecast and previous attrition trends are analyzed with the use of logistic regression, random forest, and decision tree classifiers. The decision tree classifier is found to be the most accurate model, and the research shows variations in attrition rates over time. All models show potential for improvement in terms of recall and precision, despite this. Implementing staff engagement programs, retention tactics, and routine monitoring are suggested as ways to address attrition in light of these findings. This work adds to the expanding corpus of research on HR analytics Show less

Historically auto insurance companiesput more focus on policy sales as an important guiding metric when it comes to measuring their marketing success. New customers are the lifeline of any growing business. But while sales remain an important result of a successful customer acquisition effort, it is important to make sure that policy sales aren’t the only metric used to measure performance. Not all customers purchased insurance are equal. Someone who purchases an inexpensive policy is going to… Show more

Historically auto insurance companiesput more focus on policy sales as an important guiding metric when it comes to measuring their marketing success. New customers are the lifeline of any growing business. But while sales remain an important result of a successful customer acquisition effort, it is important to make sure that policy sales aren’t the only metric used to measure performance. Not all customers purchased insurance are equal. Someone who purchases an inexpensive policy is going to be less valuable for business than someone who purchases an expensive one, and longtime customers will bring in more money than those who buy a one-year policy and do not renew. This concept is called customer lifetime value (CLV). And if a company is not paying attention to it, it is going to wind up overpaying for low-value customers and losing out on high-value customers it might have had. As it turns out, modern companies can analyze their historical data to determine the lifetime value of their customers and determine the factors that can affect the CLV. Show less