Predictive Analytics in HR to Identify Toxic Employees and reduce workplace stress: A Case Study

 Firstly, what is predictive analysis?

In technical terms, Predictive analysis is the use of statistics and modeling techniques to determine future performance based on current and historical data.

But, I’m sure we are all familiar with weather prediction which is one of the most common applications of predictive analysis. How do the weather forecasters predict climate every day? By combining real-time observational data with advanced computer models to simulate atmospheric conditions and make predictions based on numerical weather prediction techniques.

That is not all. Predictive analytics have wide range of applications. One which is HR analytics to reduce workplace stress. That is what this case study is about.

Introduction:

One of the main causes of work place stress is the presence of toxic employees. According to a working paper from Harvard Business School, toxic workers can have a great damaging effect on organizations.

Toxic employees are employees who are most likely to engage in toxic behavior like fraud, drugs or alcohol abuse, and sexual harassment. Their behavior disrupts team dynamics, lowers morale, and hinders productivity.

These people are not only damaging to the company; they are highly toxic to the general work environment . On top of that, good employees are more likely to quit when they have to work together with toxic colleagues.