Less Absenteeism, more engagement with Predictive Analytics

Less Absenteeism, more engagement with Predictive Analytics

Using data from payroll software and HRIS, MyDataModels helps companies identify absenteeism root causes to prevent it and increase employee engagement. HR and management can improve work safety, reduce risks, and maximize engagement to ensure high levels of productivity.

How to define absenteeism?

Absenteeism is an unplanned employee absence longer than the acceptable time span for its employer. Companies must try and prevent absenteeism. Indeed, it disturbs their organization, generates productivity losses and has indirect consequences like reduced engagement or increased turnover.

How it impacts employee engagement

Absenteeism has been on the rise recently. For instance, the average number of sick leaves in Sweden grew by 14,1% from Q3 2021 to Q3 2022. Every economic sector is affected, from non-profit organizations to businesses and public services. However, caregiving, retail, manufacturing and supply chain are the most affected sectors.

Studies have shown that absenteeism goes with a feeling of deteriorating working conditions. In France, long-term absenteeism (more than 8 days) has been rising in the last few years. Longer and more frequent absences are symptoms of a downward employee engagement. Consequently, this triggers a higher turnover rate for the company – whose social and financial consequences are discussed here.

What Predictive Analytics bring

Hence, organizations are looking for solutions to anticipate absenteeism, understand its causes and limit its impact on employee engagement. This is what Predictive Analytics brings to the table for HR and management. Predictive Analytics software can help them find out the root causes of absenteeism, identify the profiles most likely to be absent and anticipate their absences by modifying their work conditions. Additionally, Small Data Analytics allows HR to be much more specific about department and regional needs to tailor adapted answers.

How harmonized data helps fight absenteeism

No matter the country, organizations must declare their employees’ absences to the regulators. They differ from one country to another but always have the same structure within a country. 

It means that no matter where the organization is based or what it does, it already has structured data available to analyze it with Predictive Analytics tools, understand the reasons why people are absent and improve work conditions to reduce absenteeism’s impact.

How to fight Absenteeism and improve employee engagement

Our Decision Intelligence Platform connects to existing data from payroll software and HRIS. Its insights help HR and managers predict absenteeism. They can also understand how key causes intersect to identify solutions and scenarios that will reduce absenteeism. Here’s a look at the User Interface.



Reduced absenteeism rates usually go with personalized answers and an improved quality of work life. The clearer consequence is an improvement in employee engagement that also reduces employee turnover. 

Decision Intelligence Platforms’s features such as what-if scenarios and solvers help HR and managers anticipate the impact of potential decisions at individual level and guide them towards better work conditions. If this sounds familiar, feel free to book a call with our team! We’ll be happy to discuss your use cases and help you improve your employees’ wellbeing to maximize engagement.