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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.”
NetSuite’s reporting functionality is designed for historical analysis rather than forward-looking forecast modeling, making external tools necessary for sophisticated financial planning. You need dynamic models that automatically incorporate fresh data while maintaining complex forecast logic.
Dynamic rolling forecast models transform static, manually-maintained forecasts into self-updating planning tools that continuously incorporate fresh NetSuite data.
Create dynamic forecast models using Coefficient
Coefficient provides the foundation for building truly dynamic rolling forecast models through automated NetSuite data refresh capabilities that eliminate manual data maintenance. The system supports sophisticated forecast modeling that NetSuite’s historical reporting simply can’t provide.
How to make it work
Step 1. Set up automated data foundation.
Import NetSuite Account records, Transaction data, or Financial Reports with scheduled refresh to maintain current actuals. Use SuiteQL queries for complex data aggregations or Records & Lists for straightforward account balance imports.
Step 2. Build flexible period management.
Combine live NetSuite data with spreadsheet logic that automatically shifts forecast periods as time progresses. Create model calculations that reference live actuals for historical periods and assumptions for future periods.
Step 3. Configure refresh automation and scenario planning.
Set weekly or monthly refresh schedules aligned with your forecast update cycle. Build multiple forecast scenarios using the same automated NetSuite data foundation for comprehensive scenario analysis.
Step 4. Implement advanced capabilities.
Set up multi-subsidiary consolidation to automatically aggregate data across NetSuite subsidiaries for consolidated rolling forecasts. Include custom field integration and build automated variance tracking that compares forecast assumptions against actual results.
Enable continuous financial planning
Dynamic rolling forecast models transform traditional monthly forecast cycles into continuous planning processes where finance teams focus on analysis and strategic decision-making rather than data maintenance. Build your dynamic forecast model today.
