Learn the art of finance engineering →
← Glossary

Definition · financial analysis

Root cause analysis

Root cause analysis is the practice of identifying the underlying cause of a financial result or variance rather than its symptom. For root cause analysis, 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 RCA, root-cause analysis

Written by Pluvo TeamReviewed by Pluvo Team
02

Why it matters

Understanding root cause analysis matters because planning only improves decisions when assumptions, drivers, owners, and time periods are explicit enough to revisit when actuals arrive. Pluvo automates financial root-cause analysis by tracing a variance through connected systems to the change that caused it, instead of leaving the chase to an analyst.

03

In practice

  • Planning example

    Teams use root cause analysis 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 automates financial root-cause analysis by tracing a variance through connected systems to the change that caused it, instead of leaving the chase to an analyst.

In practice, teams should define root cause analysis with a clear source, owner, time period, and decision before they use it in reporting, planning, or operating reviews.

Understanding root cause analysis matters because planning only improves decisions when assumptions, drivers, owners, and time periods are explicit enough to revisit when actuals arrive. Pluvo automates financial root-cause analysis by tracing a variance through connected systems to the change that caused it, instead of leaving the chase to an analyst.

A strong workflow for root cause analysis 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 automates financial root-cause analysis by tracing a variance through connected systems to the change that caused it, instead of leaving the chase to an analyst.

04

FAQ

What is root cause analysis?

Root cause analysis is the practice of identifying the underlying cause of a financial result or variance rather than its symptom. For root cause analysis, 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 find the root cause of a variance?

To use root cause analysis, 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.

05

Sources

Turn your data into a system for real decisions

Book a demo