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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.”
Historical trial balance analysis requires comparing data across multiple periods, but manually exporting and organizing this data is inefficient. You can automate historical trial balance synchronization with built-in period comparison capabilities directly in Google Sheets.
This approach transforms static historical data into dynamic comparative analysis tools that update automatically without manual intervention.
Automate historical trial balance imports using Coefficient
Coefficient provides comprehensive historical trial balance synchronization from NetSuite with configurable reporting periods and automated comparative analysis. You can pull data for any historical period available in NetSuite and set up multiple period imports for trend analysis.
How to make it work
Step 1. Configure historical period imports.
Set up Trial Balance report imports with specific date ranges for each period you want to analyze. Create separate imports for different periods such as current year, prior year, and specific months or quarters. Use NetSuite’s comparative report options for built-in period analysis.
Step 2. Set up automated period comparisons.
Create scheduled imports for each comparison period using consistent naming conventions like “Trial Balance – 2024 Q1” and “Trial Balance – 2023 Q1”. Schedule automatic refreshes to capture period-end snapshots and maintain historical values even as current periods update.
Step 3. Build custom historical analysis with SuiteQL.
Write SuiteQL queries to pull multi-period data in a single import. Example query: SELECT account.accountnumber, account.displayname, transactionline.period, SUM(transactionline.netamount) as balance FROM transaction JOIN transactionline ON transaction.id = transactionline.transaction WHERE transactionline.period IN (‘2024-01’, ‘2023-01’) GROUP BY account.accountnumber, transactionline.period. This approach handles up to 100,000 rows per query for comprehensive historical analysis.
Step 4. Create variance calculations and trending analysis.
Use Google Sheets formulas for period-over-period variance calculations and build trending analysis across multiple years. Set up conditional formatting to highlight significant changes and create charts for visual trend analysis.
Step 5. Maintain historical audit trails.
Each import preserves historical snapshots for audit purposes while allowing current period updates. Configure custom date ranges that aren’t limited to standard accounting periods and set up multi-year comparisons for long-term trend analysis.
Start your historical analysis automation
This automated approach eliminates manual historical data compilation while providing rich comparative analysis capabilities. You can analyze trends across any time period with minimal setup and ongoing maintenance. Begin automating your historical trial balance analysis today.
