Payables Credit Memo Matching Report

Payables◆ Seeded · Invoices

Lists credit and debit memos for suppliers along with the invoices to which they are matched.

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

Sample build · illustrative

Filters

Period

FEB-26

Ledger

US Primary

Currency

USD

420

Memos

$3.10M

Memo value

$240K

Unmatched

Supplier	Memo	Type	Matched Invoice	Amount
Acme Industrial	Sample	Standard	Sample	$1,240,500.00
Northwind Trading	—	Corporate	—	$842,150.75
Globex Holdings	Sample	Standard	Sample	$96,400.00
Initech LLC	—	Default	—	$1,005,233.10
Umbrella Corp	Sample	Standard	Sample	$58,720.40
Acme Industrial	Sample	Standard	Sample	$1,240,500.00

AI Analyst · active

reading

The report lists credit and debit memos with the invoices they're matched to.

flag

$240K of memos aren't matched to any invoice — credits sitting unapplied that should reduce supplier balances.

root cause & next step

Match the open memos; an unapplied credit memo overstates what you owe and risks paying around it.

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.

●— fact → dimension join

Element	Type	Definition
AP_INVOICE_DISTRIBUTIONS_ALL	dimension	dimension
POZ_SUPPLIERS	dimension	dimension
Amount	measure	measure

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.

Table	Reporting columns	Subject areas
AP_INVOICES_ALL	63	15
AP_INVOICE_DISTRIBUTIONS_ALL	59	11
POZ_SUPPLIERS	145	75

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 Usually re-cut to surface unmatched credit memos eroding spend that the seeded report buries. Irvine rebuilds these on your data.