HR Turnover App
Intelco
This Qlik Sense app was created with the goal of creating interactive dashboards on turnover and absenteeism rates in HR feld.
Turnover (or turnover rate) refers to staff turnover within an organization. It indicates how often employees leave the company and are replaced by new hires.
Absenteeism refers to the frequency with which employees are absent from work, whether for excused (e.g., illness, vacation) or unexcused (unauthorized absences) reasons.
The Employee Turnover dataset is a real dataset used to predict an Employee's risk of quitting (with a Survival Analysis Model). It explained that "Survival Analysis" is one of the most importance but it's not the most popular algorithm to predict employee turnover. By inspiration, dataset containing the data was taken from Kaggle: https://www.kaggle.com/datasets/davinwijaya/employee-turnover
Discoveries
Absenteeism rate, Turnover rate, Anticipation of leaving employment, Industries with higher turnover rate
Impact
It is possible to predict the abandonment of staff employment, it is possible to predict the rate of staff absenteeism
Audience
The application can be used by HR departments (such as management control manager, finance manager, etc.) of companies to make informed decisions.
Data and advanced analytics
KPIs are used with statistical and predictive analysis. Time-based and behavior-based analysis.
