In a modern conference room, a group of business professionals is gathered around a sleek table, intently analyzing absence data displayed on large wall-mounted screens. They are engaged in discussions about absence management processes and predictive analytics to enhance employee health and operational efficiency within their workforce management strategies.

AI Absence Prediction: Revolutionizing Workforce Planning with Machine Learning

The average absence rate among workers sits at 3%, translating to a staggering $226 billion in annual productivity losses across the United States alone. For most organizations, employee absences represent one of the most unpredictable and costly workforce challenges, with traditional absence management systems offering little more than reactive record-keeping. However, artificial intelligence is transforming […]

Absenteeism Benchmarks

Absenteeism Benchmarks by Industry: What’s a “Normal” Rate?

Employee absence is unavoidable, but knowing how much absence is “normal” can make a big difference in how organisations plan, staff, and manage productivity. Absenteeism benchmarks help HR teams compare their own absence rates against industry averages, highlighting where improvements may be needed. In this article, we’ll explain what absenteeism is, how to calculate it, […]

Bradford Factor Triggers

Bradford Factor triggers

Businesses are always looking for ways to minimise the impact of unplanned absences and Bradford Factor Triggers is one method of doing this. However, as helpful as Bradford Factor Triggers can be, they still court controversy and have their fair share of detractors. This post will explain how Bradford Factor Triggers work, as well as […]