Leave Management By the Numbers: Mining Leave Data

Tasha Patterson@Work

Mining Leave Data to Improve Your Organization’s Leave Program

By Geoffrey Simpson

VP of Sales & Marketing
Presagia

Leave managers are usually working in overdrive trying to keep up with their sheer quantity of cases. Their primary concern is staying legally compliant by making the right calculations and adhering to regulatory deadlines, forcing them to always be in reactionary mode. Managing leaves generates a wealth of data, but most leave managers don’t have time to leverage this data to help optimize day-to-day activities and broader workforce strategies.

Yet you don’t want to miss this opportunity to use reporting to improve your leave program.

Though specific reports may vary between employers, the foundation remains the same. To begin, leave reports typically fit in two categories — operational and analytical.

Operational Reports

Operational reports cover day-to-day activities, tracking things like active leaves, tasks, workload, and productivity. These reports help you manage leaves better by providing information you need to make more informed decisions immediately. They also include reports for other departments, such as those telling payroll when employees are going on leave so they can trigger pay processes.

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