Update Matured Bills Payable Status

Payables◆ Seeded · Payments

Reports the results of the process that updates the status of matured bills payable from issued to negotiable.

Sample build of the Update Matured Bills Payable Status — 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

120

Matured bills

$3.10M

Matured value

$3.10M

Funding due

Bill Payable	Supplier	Maturity Date	Amount	New Status
Sample	Acme Industrial	2026-04-30	$1,240,500.00	Open
—	Northwind Trading	2026-03-31	$842,150.75	Posted
Sample	Globex Holdings	2026-02-28	$96,400.00	Validated
—	Initech LLC	2026-01-31	$1,005,233.10	Open
Sample	Umbrella Corp	2025-12-31	$58,720.40	Paid
Sample	Acme Industrial	2026-04-30	$1,240,500.00	Open

AI Analyst · active

reading

The report reports the process that updates matured bills payable from issued to negotiable.

flag

$3.1M of bills payable matured to negotiable — they can now be presented for payment and the cash must be funded.

root cause & next step

Fund the maturing bills payable ahead of presentation; a matured bill payable is a dated cash obligation that won't wait.

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_PAYMENTS_ALL	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_CHECKS_ALL	44	6
AP_INVOICE_PAYMENTS_ALL	22	2

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 Bills-payable maturity handling is often automated and monitored rather than run as a manual report. Irvine rebuilds these on your data.