Revenue per Employee is the total revenue of a company divided by the number of employees.
Revenue per employee is a great metric to use when comparing companies of different sizes. It's also a good way to determine how efficient your company is at generating revenue.
For example, if Company A generates $1 million in revenue and has 10 employees, the revenue per employee is $100,000. If Company B generates $10 million in revenue and has 100 employees, the revenue per employee is $100,000.
Revenue per employee is also a good way to determine how efficient your company is at generating revenue. If you have a low revenue per employee, it could be a sign that you need to hire more employees to generate more revenue.
It can be difficult to calculate Revenue per Employee directly inside of VISMA e-conomic; that's where Causal comes in.
Causal is a modelling tool which lets you build models on top of your VISMA e-conomic data. You simply connect Causal to your VISMA e-conomic account, and then you can build formulae in Causal to calculate your Revenue per Employee.
Causal lets you build models effortlessly and share them with interactive, visual dashboards that everyone will understand.
In Causal, you build your models out of variables, which you can then link together in simple plain-English formulae to calculate metrics like Revenue per Employee. This makes your models easy to understand and quick to build, so you can spend minutes, not days, on your models.
When you're done, you can share the link to your model with stakeholders. They'll be able to view your model's outputs in a visual dashboard, rather than a jumble of tabs and complex formulae. The dashboards are interactive, letting viewers tweak your assumptions to see how they affect the model's outputs.
Causal lets you add visuals in a single click, letting you plot out graphs and distributions for metrics like Revenue per Employee.