How to Audit an Anaplan Model: A Professional Guide
A model audit is a systematic review of an Anaplan model's quality, performance, and maintainability. Whether you are inheriting a model from another builder, preparing for a major update, or conducting a regular health check, a structured audit helps you identify problems before they become outages and opportunities before they become technical debt.
What Does a Model Audit Check?
Formula quality: Are there nested IFs that should be replaced with boolean math? Are there redundant calculations or hardcoded values that should be parameterized? Are formulas documented with comments?
Naming conventions: Do line items follow a consistent naming standard? Are prefixes used to identify line item types (PLANS methodology)? Are module names logical and consistent?
Module structure: Are input, calculation, and reporting concerns separated? Are modules appropriately sized? Is the dimension design efficient?
Data integrity: Are there unexplained blank values? Do totals reconcile as expected? Are there line items with zero values that suggest missing data?
Performance indicators: Are there line items with very high calculation times? Are there modules approaching size limits? Are there unnecessary time dimensions on non-time-sensitive data?
How to Export Line Items from Anaplan for Auditing
Our Model Audit Tool accepts the standard Anaplan line item export format. To generate this export from your Anaplan workspace:
Step 1: Open your model in Anaplan and navigate to the Model Settings area.
Step 2: Find the Blueprint export option — this generates a CSV of all modules and line items with their properties.
Step 3: Download the CSV file to your computer.
Step 4: Upload the CSV to our Model Audit Tool above. The tool will parse the line item names, formats, formulas, and module assignments to generate your health check report.
Common Findings in Anaplan Model Audits
Nested IFs (found in ~80% of models): Almost every model has some nested IF statements. While not always wrong, chains of more than two levels should be reviewed for replacement with boolean math or mapping modules.
Inconsistent naming (found in ~70% of models): Models often start with good naming conventions that erode over time as multiple builders contribute. An audit identifies the inconsistencies and provides a remediation roadmap.
Orphaned line items (found in ~60% of models): Line items that were created for a use case that no longer exists but were never removed. These add to model size without providing value.
Missing comments (found in ~90% of models): Most formulas lack inline documentation explaining the business logic. This is the most common finding and the easiest to address going forward.
Frequently Asked Questions
How often should I audit my Anaplan model?
For actively maintained models, a lightweight review quarterly and a comprehensive audit annually is a good cadence. For models that have gone through major development phases, an audit immediately after the development phase is complete helps catch issues before they are deeply embedded.
What is the difference between a model audit and Anaplan's Health Check?
Anaplan's platform-level Health Check focuses primarily on performance metrics — calculation times, memory usage, and workspace utilization. Our Model Audit Tool focuses on code quality — formula patterns, naming conventions, and structural best practices. They are complementary: use the platform Health Check to find slow modules, and use our audit to understand why they are slow and how to fix them.
Is my data safe when I upload to the audit tool?
The Model Audit Tool processes your export entirely in your browser. Your data is never transmitted to our servers — all analysis runs locally using JavaScript. The only data the tool sees is what is in your line item export: module names, line item names, formats, and formulas. No business data (actuals, forecasts, budgets) is included in a blueprint export.