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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.”
Converting QuickBooks’ hierarchical P&L reports into flat, analysis-ready tables requires extensive manual work. You spend time restructuring data instead of analyzing your financial performance, and manual normalization introduces errors that affect your analysis accuracy.
Here’s how to automate the entire P&L normalization process so you get analysis-ready data without any manual restructuring.
Automate P&L normalization with scheduled clean imports using Coefficient
Coefficient provides fully automated P&L data normalization that transforms QuickBooks ‘ formatted reports into analysis-ready datasets. Set up automated P&L normalization using scheduled imports that deliver normalized data where each account occupies one row with consistent columns: Account Name, Account Type, Amount, Date Range, and other relevant fields.
How to make it work
Step 1. Set up automated P&L normalization with scheduled imports.
Install Coefficient and connect your QuickBooks account. Use the “From QuickBooks Report” method for Profit and Loss imports, then configure hourly, daily, or weekly refresh schedules. The normalization happens automatically during each refresh with no manual restructuring required.
Step 2. Create custom normalized views with Objects & Fields method.
For advanced normalization needs, use Coefficient’s “Objects & Fields” import method. Select specific account fields, apply filters for date ranges or account types, and build exactly the normalized structure your analysis requires. Include additional normalizing fields like Account Numbers, Classes, or Locations.
Step 3. Apply filters to support clean normalization.
Use Coefficient’s filtering capabilities to exclude accounts or date ranges that would complicate your analysis. This creates clean, focused datasets that are immediately ready for financial modeling, variance analysis, and other advanced P&L analytics without manual data preparation.
Step 4. Maintain consistent structure through automated refreshes.
The automated normalization maintains data consistency through every refresh. Your normalized P&L table structure remains stable, ensuring that pivot tables, formulas, and charts built on this data continue functioning correctly as new financial data flows in from QuickBooks.
Focus on analysis instead of data preparation
Automated P&L normalization eliminates the time spent converting formatted reports into usable datasets. Your financial analysis becomes more reliable when data structure stays consistent. Start using Coefficient for automatic P&L normalization.
