Variance analysis is a common activity in planning and reporting.
Teams often compare Actuals against Budget, Forecast, or prior periods to understand what changed and where attention is needed.
Workday Adaptive Planning includes a variance analysis capability within Planning Agent that helps users identify and investigate significant variances directly from matrix reports.
In this article, we look at how variance analysis works in Planning Agent and what requirements must be met before it can be used.
What Is Variance Analysis in Planning Agent?
Variance analysis is part of the Data Exploration capability available through Ask Workday.
The feature is designed to help users identify significant variances, understand the drivers behind those variances, and explore contributing dimensions without manually drilling through large reports.
According to Workday documentation, the capability helps automate parts of the variance review process so users can spend more time understanding results and less time searching for them.
What Does It Do?
Variance analysis includes three primary actions.
Identify Variance
Planning Agent can automatically identify the largest variances in a report.
The system highlights the top variance cells and can also apply amount or percentage thresholds.
For example:
- Variance threshold greater than 100,000
- Variance threshold greater than 10%
When significant variances are found, account hierarchies can be expanded to expose contributing child accounts.
Analyze Variance
After a variance is identified, Planning Agent can analyze it further.
The analysis focuses on the dimensions that contribute most to the variance.
Examples may include:
- Department
- Product
- Level
The result includes a chart showing major contributors and a narrative summary describing the findings.
Break Down Variance
Users can continue investigating a variance by exploring additional dimensions.
Planning Agent orders dimensions based on their impact so users can review the most important contributors first.
The available dimensions depend on the data being analyzed.
For example, revenue variances may be analyzed using customer and product dimensions, while expense variances may use vendor-related dimensions.
Requirements
Variance analysis requires a matrix report structure that includes:
- A Difference element
- Comparison between two individual versions
- A valid variance column
The feature supports:
- Levels
- Accounts
- Level attributes
- Account attributes
Current support is limited to single-period filters and single-value report parameters connected to filters.
What Is Ignored?
Workday documentation notes that variance analysis currently ignores:
- Custom calculation elements
- Subtotal calculation elements
- Display-As elements
- Split account detail rows
These items may still appear on the report, but they are not included in the variance analysis process.
How Users Access Variance Analysis
Users with the required Ask Workday permission can open a matrix report and launch Ask Workday.
Variance analysis can be started by:
- Selecting Identify Top Variances
- Selecting Analyze Variance
- Typing “analyze variance”
- Right-clicking a variance cell and selecting Analyze Variance
When multiple variance columns exist, Planning Agent analyzes the rightmost variance column by default unless a specific variance cell is selected.
Why It Matters
Large matrix reports often contain hundreds or thousands of rows.
Finding meaningful variances manually can take time.
Planning Agent helps narrow the focus by highlighting significant variances and identifying major contributors directly from the report context.
The feature does not replace financial review, but it provides another way to investigate differences between versions without building additional reports.
Variance analysis is one of the more practical Planning Agent capabilities available in Workday Adaptive Planning.
The feature helps identify significant variances, analyze key drivers, and explore contributing dimensions directly from matrix reports.
For organizations that regularly compare Actuals, Budget, and Forecast data, it provides an additional tool for investigating results within the reporting process.
