Bring comparisons together
Review actuals, budget, forecast and prior year in one financial matrix.
Aivana Financial Reporting · Financial matrix & comments
Compare financial results and explain variances. Bring actuals, budget, forecast and prior-year figures together in a structured financial matrix.
For controlling, finance and management.
Package availability, trial duration and licence terms are agreed with Aivana. Validate the visual in your Power BI environment before deployment.
Review actuals, budget, forecast and prior year in one financial matrix.
Identify absolute and percentage differences in the report context.
Link comments to filters and business keys; plan for Fabric SQL when persistence is needed.
Financial Reporting combines financial comparisons and business explanations. Before the first monthly review, define the combination of line item, period and report filters that uniquely identifies a comment.
From data to a decision
Map actuals, budget, forecast and prior year to a financial matrix.
Result: A shared starting point for the financial review.
Requirement / boundary: Comparable periods and measures must be available in the model.
Compare absolute and percentage differences in the selected report context.
Result: The relevant line items can be discussed directly.
Requirement / boundary: A variance does not explain its cause; review the business context.
Comment on the variance in the context of report filters and business keys.
Result: The figure and its explanation share a business context.
Requirement / boundary: Unique keys and appropriate filters are required.
Configure the additional Fabric SQL integration for persistent comments and verify their context.
Result: With the integration configured, explanations can be stored persistently.
Requirement / boundary: Persistence is not automatically included when importing the visual.
Fictional application scenario
A fictional controlling team reviews a cost line that differs from budget. It compares actuals, forecast and prior year in the same period context and adds a business explanation. The explanation is associated with business keys and filters. To keep it available for the next review, the team configures the additional Fabric SQL integration and verifies storage.
Supply actual, budget, forecast and prior-year financial measures with consistent periods and business keys. Report filters and keys must identify the business context of comments. Persistent storage requires a separately configured Fabric SQL integration.
Documented V1 scope: financial matrix and comments. Persistent comments require separately configured Fabric SQL. Planning and writeback are extension points; package metadata, certificates and tenant permissions need configuration before deployment.
Validate functionality in the intended Power BI host before deployment. Check your tenant policies, permissions and package instructions before using the visual in your environment.
When an approved .pbiviz package is available, import it as a custom visual in Power BI Desktop. Follow the package instructions and assign your report fields. Validate functionality in the intended Power BI host before deployment.
Documented V1 scope: financial matrix and comments. Persistent comments require separately configured Fabric SQL. Planning and writeback are extension points; package metadata, certificates and tenant permissions need configuration before deployment.
Open the trial form with this product preselected. Once the package is approved and available, you can request the download link and setup instructions by email.
Contact Aivana for pricing, licence scope, trial duration and package availability. Describe your use case and Power BI environment so we can agree the next steps.
Supply actual, budget, forecast and prior-year financial measures with consistent periods and business keys. Report filters and keys must identify the business context of comments. Persistent storage requires a separately configured Fabric SQL integration.
Request the trial when available. Contact Aivana to discuss your data model, setup support, licence terms and trial duration.