Operating income is the profit your company makes from its core business. It is calculated by subtracting operating expenses from operating revenue.
Operating income is a good metric to use when you are trying to determine the health of your company's core business. It is also a good metric to use when you are trying to determine if your company is making a profit or a loss.
For example, if your company's operating income is $10,000,000, your company is making a profit of $10,000,000. If your company's operating income is $5,000,000, your company is making a loss of $5,000,000.
It can be difficult to calculate Operating Income directly inside of Google BigQuery; that's where Causal comes in.
Causal is a modelling tool which lets you build models on top of your Google BigQuery data. You simply connect Causal to your Google BigQuery account, and then you can build formulae in Causal to calculate your Operating Income.
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 Operating Income. 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 Operating Income.