Analytics Catalog/Oracle Fusion ERP/Payables/Payables Trial Balance Report
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Seeded report · Period close

Payables Trial Balance Report

Payables◆ Seeded · Period close

Lists and subtotals by supplier and liability account all unpaid and partially paid invoices that Payables transferred to the general ledger.

Related  Pairs with the flagship Payables to Ledger Reconciliation Report.

Sample build of the Payables Trial Balance Report — reconciled, and rendered tool-neutral so it runs in Power BI, ThoughtSpot, or Tableau.

Payables Trial Balance Report
Sample build · illustrative
Filters
Period
FEB-26
Ledger
US Primary
Currency
USD
$32.00M
Open AP
8
Liability accounts
$0 diff
Ties to GL
SupplierLiability AccountOpen BalancePeriodCurrency
Acme Industrial1000-2100-000$1,240,500.00APR-26USD
Northwind Trading1000-5400-000$842,150.75MAR-26USD
Globex Holdings1000-1410-000$96,400.00FEB-26USD
Initech LLC2000-2100-000$1,005,233.10JAN-26USD
Umbrella Corp1000-6300-000$58,720.40DEC-25USD
Acme Industrial1000-2100-000$1,240,500.00APR-26USD
AI Analyst · active
reading

The report subtotals all unpaid and partially paid invoices by supplier and liability account, tied to GL.

flag

The AP trial balance ties to GL except one liability account where a manual journal posted directly, bypassing Payables.

root cause & next step

Keep manual journals off the AP liability account; a direct GL post is the classic reason the AP subledger won't tie.

Illustrative data. The live interactive version — drill-through, filters, export, and the AI Analyst — runs on your warehouse. See it live →

This is the report's BI Publisher data model — the SQL data set BI Publisher runs against Oracle tables to produce the output. The same SQL becomes a dbt model in your warehouse, so one definition drives both the formatted report and the analytics layer.

Data sources

How it interconnects: this data set reads the physical tables above. Those same tables surface in OTBI as subject areas and in BICC as PVOs — three lenses on one source. Open any table to trace its subject areas and View Objects.
The SQL data set is authored to this report's exact spec during the build and ships as the BI Publisher data model plus a matching dbt model — one definition, both layers.

The data-warehouse model — one fact surrounded by conformed dimensions (what you slice by) and measures (what you aggregate), expressed as dbt so it migrates with you. Grain: one row per source transaction.

AP_INVOICE_DISTRIBUTIONS…dimensionPOZ_SUPPLIERSdimensionAP_PAYMENT_SCHEDULES_ALLfact · one row per source transactionOpen Balance
●— fact → dimension join
ElementTypeDefinition
AP_INVOICE_DISTRIBUTIONS_ALLdimensiondimension
POZ_SUPPLIERSdimensiondimension
Open Balancemeasuremeasure
Runs on your cloud warehouse — Snowflake, BigQuery, Redshift, or Synapse on AWS, Google Cloud, Azure, or any provider. Reconciled to the source control total — 0% variance by design. You own the code, the model, and the data.
How the data gets here: a BICC bulk extract of the source tables above, on the same pattern for every report. See the extraction pattern & data flow →
See the complete model
How this report's fact and dimensions fit the full picture, via conformed keys.
Payables data model →Enterprise model →

Every source object behind this report. Each linked table has its own page with full column descriptions, drawn from the Oracle BICC lineage and articulated for practitioners.

TableReporting columnsSubject areas
AP_PAYMENT_SCHEDULES_ALL212
AP_INVOICE_DISTRIBUTIONS_ALL5911
POZ_SUPPLIERS14575
Reporting columns = fields the report selects that are exposed as analytics attributes; subject areas = the OTBI subject areas the table appears in. Setup and configuration tables (master data, ledger and book setup, lookups) are referenced by the report's joins but aren't exposed as analytics columns or subject areas — that's expected, not a gap.

Customization note  The seeded AP trial balance rarely ties to GL without effort; the build reconciles it to the liability account with a documented variance. Irvine rebuilds these on your data.