Analytics Catalog/Oracle Fusion ERP/Fusion Accounting Hub/Subledger Period Close Exceptions Report
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Oracle Fusion · Subledger Accounting

Subledger Period Close Exceptions Report

Fusion Accounting Hub

The Subledger Period Close Exceptions Report lists transactions across all subledgers that are not fully accounted, transferred, or posted — the exact items that stop a period from closing. Running it early in close turns a frantic hunt into a checklist.

Used by · Close managers coordinating the period-end across modules.Run · Early in close and again before setting periods to Closed.

The question it answers

What is still blocking the close, and in which subledger does each exception sit?

Run note · Performance  The subledger (XLA) join — especially Projects-to-XLA — is a known BI Publisher performance trap on large ledgers. Pre-join it in the warehouse, or apply tight ledger, period, and source filters before running online.

Sample build of the Subledger Period Close Exceptions Report — reconciled, and rendered tool-neutral so it runs in Power BI, ThoughtSpot, or Tableau.

Subledger Period Close Exceptions Report
Sample build · illustrative
Filters
Ledger
US Primary
Period
FEB-26
Application
Sample
Process Category
Vehicles
37
Exceptions
21
Unaccounted
11
Untransferred
5
Unposted
SubledgerEventTransactionStatusAccountedAmount
US PrimarySampleSampleOpen1000-2100-000$1,240,500.00
EU PrimaryPosted1000-5400-000$842,150.75
US PrimarySampleSampleValidated1000-1410-000$96,400.00
UK PrimaryOpen2000-2100-000$1,005,233.10
US PrimarySampleSamplePaid1000-6300-000$58,720.40
US PrimarySampleSampleOpen1000-2100-000$1,240,500.00
AI Analyst · active
reading

Each row is a transaction that has not completed its accounting lifecycle. Group by subledger and status to see exactly what each module owes the close.

flag

37 exceptions, 21 of them unaccounted in Payables — the largest single block to closing the period on schedule.

root cause & next step

Traced to XLA_EVENTS in the No Action / Error state: run Create Accounting in final mode for Payables, clear the errors, then transfer and post. Re-run until the count is zero.

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.

XLA_EVENTSdimensionXLA_TRANSACTION_ENTITIESdimensionGL_PERIOD_STATUSESdimensionXLA_AE_HEADERSfact · one row per source transactionAmount
●— fact → dimension join
ElementTypeDefinition
XLA_EVENTSdimensiondimension
XLA_TRANSACTION_ENTITIESdimensiondimension
GL_PERIOD_STATUSESdimensiondimension
Amountmeasuremeasure
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.
Fusion Accounting Hub 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
XLA_AE_HEADERS1619
XLA_EVENTS31
XLA_TRANSACTION_ENTITIES23
GL_PERIOD_STATUSES111
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.