Definition · variance analysis
Variance bridge
Variance bridge is a bridge that decomposes the gap between planned and actual figures by driver. For variance bridge, the useful boundary is the driver, assumption, source data, owner, time period, scenario logic, and decision the model is meant to support.
Also known as variance walk, bridge to plan
Why it matters
Understanding variance bridge matters because planning only improves decisions when assumptions, drivers, owners, and time periods are explicit enough to revisit when actuals arrive. Pluvo builds the variance bridge automatically and ties each step to its root cause across systems, so the walk from plan to actual explains itself.
In practice
Planning example
Teams use variance bridge when a forecast, budget, or scenario needs an assumption that can be revisited. The finance team should know the driver, source data, owner, and period before using it in a model.
Pluvo example
Pluvo builds the variance bridge automatically and ties each step to its root cause across systems, so the walk from plan to actual explains itself.
In practice, teams should define variance bridge with a clear source, owner, time period, and decision before they use it in reporting, planning, or operating reviews.
Understanding variance bridge matters because planning only improves decisions when assumptions, drivers, owners, and time periods are explicit enough to revisit when actuals arrive. Pluvo builds the variance bridge automatically and ties each step to its root cause across systems, so the walk from plan to actual explains itself.
A strong workflow for variance bridge separates the definition from the action: first agree what the term means, then decide how it is measured, when it changes, and who is accountable for the next step.
Pluvo builds the variance bridge automatically and ties each step to its root cause across systems, so the walk from plan to actual explains itself.
FAQ
What is a variance bridge?
Variance bridge is a bridge that decomposes the gap between planned and actual figures by driver. For variance bridge, the useful boundary is the driver, assumption, source data, owner, time period, scenario logic, and decision the model is meant to support.
How do you build a variance bridge?
To use variance bridge, start with the decision, then confirm the source data, timing, calculation logic, and owner. The analysis is strongest when a reviewer can trace the answer back to the records that produced it.