BitaBIZ analyzes your absence, working hours and HR ratios in depth.
An accurate insight into the company’s key figures often requires a lot of resources, but you do not have to downgrade the task.
BitaBIZ has a built-in statistics module. It gives you accurate reports with calculation of all official key figures within absence, working hours and HR.
It gives you a basis for the work of optimizing your business.
Leave & absence
HR & People
BitaBIZ gives you a complete collection of
key figures within working hours, absence and HR.
For this you will get:
✓ Report library
✓ Sickness absence – Bradford factor
✓ Sick leave – 120 day rule
✓ Absence – residual holiday and holiday-free
✓ Working hours – the 48 hour rule
✓ Working hours – capacity utilization
✓ Working hours – paid hours per employee, department, etc.
✓ HR – staff turnover, arrival and departure
✓ Timebank – the development of overtime
Our statistics module works in several areas:
Insight into how the number of sick days is distributed over the year.
Benchmark of sick days per month compared to last year.
Forecast of expected number of sick days based on history.
The statistics identify if the number of sick days is increasing in your company.
Insight into each department on three key parameters:
The statistics identify if a department has very short-term sick leave – A very short-term sick leave can be an identification of declining productivity.
Insight into the individual employee’s sick leave on two important parameters:
In addition, the report identifies the average number of days per sick period.
The statistics identify employees with a high number of sick days and/or a high number of sick periods.
Many frequent sick periods may stress the daily operations more than long-term sick leave.
The Bradford Factor is a key figure that focuses on short-term sick leave.
If an employee during a 12-month period has a Bradford factor of +400 then you might consider having a clarifying discussion.
Many short periods of illness can be an indication of underlying dissatisfaction in the organization.
The graph follows the development of the short term sick leave over the past 3 years.
The statistics identify if the short-term sick leave is increasing.
If an employee is sick on a Friday and the following Monday, then the weekend is counted as sick days in the statistics.
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