Accounts Receivable Data Model

Modified on Tue, 28 Jul at 2:21 PM

Model Summary

The QQube Accounts Receivable Data Model is based on the QuickBooks Accounts Receivable report. It analyzes original, applied, and open receivable amounts using the date selected in the QQube Configuration Tool.

Model TypeAccounts receivable and aging analysis
Transaction CoveragePosting and linked transactions
Available FieldsMore than 750
Primary UseAnalyze balances, aging, payment behavior, and customer credit activity

Best Used For

  • Aging receivables by Transaction Date or Due Date.
  • Creating traditional 30-60-90 aging reports.
  • Comparing average days to pay with customer terms.
  • Reviewing balances by customer, job, class, territory, or sales representative.
  • Analyzing customer notes and credit standing.

Key Capabilities

  • Provides Transaction Date and Due Date aging in the same model.
  • Includes original, applied, and open receivable amounts.
  • Includes printed and base units of measure.
  • Includes home and foreign currency values.
  • Includes related transaction links.

Aging Methods

Use either aging basis in the same report.

The model includes separate aging buckets based on Transaction Date and Due Date.

Power BI and Excel Power Pivot Measures

The prepared Accounts Receivable examples include 31 visible DAX measures. Hidden measures are not included.

Measure SectionVisible Measures
Power BI Company-Filter Measures3
.Base Measures22
Average Days Measures2
Calendar Pattern Measures4

Power BI company filtering

The Account, Class, and Customer slicers use bridge tables and three support measures to show only values associated with the selected company. Excel Power Pivot handles this filtering automatically.

Included Dimensions

Calendars

Document

Lists

Linked Information

Technical Details

Model StructureOne Accounts Receivable FACT table with related dimensions and relationships already included
Date ControlThe report date is selected in the QQube Configuration Tool
DAX AvailabilityPower BI and Excel Power Pivot examples

Expected Result

Open the prepared example and analyze receivables by aging method, customer, job, class, territory, or sales representative.

The FACT table, dimensions, relationships, and measures are already included.

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