Analytics Catalog/Oracle Fusion ERP/Payables/Payables Invoice Audit by Voucher Number Listing
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Seeded report · Invoices

Payables Invoice Audit by Voucher Number Listing

Payables◆ Seeded · Invoices

Lists invoices with assigned sequential voucher numbers for audit.

Sample build of the Payables Invoice Audit by Voucher Number Listing — reconciled, and rendered tool-neutral so it runs in Power BI, ThoughtSpot, or Tableau.

Payables Invoice Audit by Voucher Number Listing
Sample build · illustrative
Filters
Period
FEB-26
Ledger
US Primary
Currency
USD
18,400
Vouchers
no gaps
Sequential
6
Gaps
Voucher NoInvoiceSupplierAmountStatus
1001SampleAcme Industrial$1,240,500.00Open
1002Northwind Trading$842,150.75Posted
1003SampleGlobex Holdings$96,400.00Validated
1004Initech LLC$1,005,233.10Open
1005SampleUmbrella Corp$58,720.40Paid
1001SampleAcme Industrial$1,240,500.00Open
AI Analyst · active
reading

The report lists invoices with their sequential voucher numbers for audit.

flag

Six gaps in the voucher sequence — either deleted vouchers or a sequencing setup issue, which some jurisdictions prohibit.

root cause & next step

Explain each gap; a break in a statutory voucher sequence is an audit finding.

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_DOC_SEQUENCE_AUDITdimensionAP_INVOICES_ALLfact · one row per source transactionAmount
●— fact → dimension join
ElementTypeDefinition
AP_DOC_SEQUENCE_AUDITdimensiondimension
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.
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_INVOICES_ALL6315
AP_DOC_SEQUENCE_AUDITSetup / configuration table — joined for reference, not exposed for analytics
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  Sequencing gaps are the real audit question; the build adds gap/duplicate detection over the voucher sequence. Irvine rebuilds these on your data.