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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.”
Month-end variance analysis requires consistent trial balance snapshots and period comparisons that are time-consuming to create manually. You can automate month-end trial balance snapshots with built-in variance analysis workflows that eliminate manual reporting tasks.
This automated approach provides rich variance analysis capabilities for comprehensive financial review processes.
Automate month-end snapshots and variance analysis using Coefficient
Coefficient provides excellent capabilities for connecting month-end trial balance snapshots from NetSuite to Google Sheets with automated variance analysis workflows. You can schedule snapshots and create comprehensive period comparisons automatically.
How to make it work
Step 1. Configure scheduled month-end imports.
Set up daily refresh schedules that activate on month-end dates using reporting period parameters for specific month-end snapshots. Create separate imports for current versus prior periods and maintain historical snapshots in dedicated sheets for audit trail purposes.
Step 2. Set up automated variance analysis imports.
Import current month trial balance alongside prior month and prior year comparisons for comprehensive analysis. Name your imports consistently like “Trial Balance – Oct 2024”, “Trial Balance – Sep 2024”, and “Trial Balance – Oct 2023” to maintain organization and enable automated calculations.
Step 3. Build period comparison analysis with SuiteQL.
Write SuiteQL queries for direct period comparisons. Example query: SELECT account.accountnumber, account.displayname, curr.balance as current_balance, prev.balance as prior_balance, (curr.balance – prev.balance) as variance FROM account LEFT JOIN (SELECT * FROM accountbalance WHERE period = ‘2024-10’) curr LEFT JOIN (SELECT * FROM accountbalance WHERE period = ‘2024-09’) prev.
Step 4. Create automated variance calculations and alerts.
Use Google Sheets formulas to calculate variance amounts and percentages automatically. Set up conditional formatting to highlight variances exceeding predetermined thresholds and create data validation rules for variance explanations. Build drill-down links to supporting detail for investigation purposes.
Step 5. Build advanced analytics and trending.
Create rolling 12-month trending analysis and budget versus actual variance comparisons. Build forecast accuracy measurements and department or class-level variance detail. Set up commentary tracking systems to document variance explanations and maintain historical context.
Transform your month-end close process
Automated variance analysis eliminates manual month-end reporting tasks while providing comprehensive financial review capabilities. This approach ensures consistent analysis across periods and enables faster identification of significant variances. Start automating your month-end variance analysis today.
