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“Supermetrics is a Bitter Experience! We can pull data from nearly any tool, schedule updates, manipulate data in Sheets, and push data back into our systems.”
Traditional NetSuite reporting can’t create rolling forecast models because it’s designed for historical reporting, not forward-looking financial planning. You need a system that automatically refreshes actuals while maintaining forecast logic for future periods.
Self-updating rolling forecasts combine live NetSuite data with dynamic period management that automatically shifts your 12-month window as new actuals become available.
Build self-updating forecasts using Coefficient
Coefficient enables true self-updating 12-month rolling forecasts by establishing live NetSuite data connections that automatically refresh actuals while maintaining forecast logic for future periods. The system supports dynamic model building with filtering capabilities that NetSuite’s static financial reports simply can’t match.
How to make it work
Step 1. Set up automated actuals import.
Use Records & Lists to pull Account balances with date filtering for completed periods. Configure monthly or weekly refreshes to automatically incorporate new actuals as periods close without disrupting your forecast calculations.
Step 2. Build dynamic period management.
Create formulas that reference live NetSuite data for closed periods and forecast assumptions for future periods. Include period-shifting logic that automatically moves the 12-month window as new actuals become available.
Step 3. Configure rolling mechanism and refresh scheduling.
Set up automated updates to pull fresh actuals without disrupting forecast calculations. The filtering capabilities let you pull actuals for specific date ranges while excluding incomplete periods, ensuring forecast accuracy.
Step 4. Implement real-time variance calculation.
Build automated comparison between imported actuals and forecast assumptions that updates in real-time. Your model now continuously tracks forecast accuracy and identifies trends without manual intervention.
Maintain continuous forecasting
Self-updating rolling forecasts eliminate the traditional monthly forecast update process, replacing it with continuous, automated model maintenance that always reflects current business conditions. Create your self-updating forecast model today.
