Analytics Catalog/Oracle Fusion ERP/Payables/Payables Key Indicators Report
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Seeded report · Invoices

Payables Key Indicators Report

Payables◆ Seeded · Invoices

Generates transaction activity with the current number of suppliers, invoices, payments, and matching holds.

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

Payables Key Indicators Report
Sample build · illustrative
Filters
Period
FEB-26
Ledger
US Primary
Currency
USD
3,240
Suppliers
18,400
Invoices
180
Matching holds
IndicatorCurrent PeriodPrior PeriodChange
SampleAPR-26APR-26Sample
MAR-26MAR-26
SampleFEB-26FEB-26Sample
JAN-26JAN-26
SampleDEC-25DEC-25Sample
SampleAPR-26APR-26Sample
AI Analyst · active
reading

The report summarizes current counts of suppliers, invoices, payments, and matching holds.

flag

Matching holds rose versus the prior period — a growing share of invoices stuck before payment.

root cause & next step

Track the hold trend by reason; a rising matching-hold count usually means PO and receipt discipline slipped upstream.

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_PAYMENTS_ALLdimensionAP_HOLDS_ALLdimensionPOZ_SUPPLIERSdimensionAP_INVOICES_ALLfact · one row per source transactionAmount
●— fact → dimension join
ElementTypeDefinition
AP_INVOICE_PAYMENTS_ALLdimensiondimension
AP_HOLDS_ALLdimensiondimension
POZ_SUPPLIERSdimensiondimension
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_INVOICE_PAYMENTS_ALL222
AP_HOLDS_ALL111
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  A static operational snapshot; teams rebuild it as a trended AP operations KPI dashboard. Irvine rebuilds these on your data.