Payables Discounts Taken and Lost Report

Payables◆ Seeded · Payments

Identifies payments where a discount was taken and payments where a discount was available but not taken.

Sample build of the Payables Discounts Taken and Lost 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

$210K

Discounts available

$160K

Taken

$50K

Lost

Supplier	Invoice	Discount Available	Taken	Lost	Pay Date
Acme Industrial	Sample	Sample	Sample	Sample	2026-04-30
Northwind Trading	—	—	—	—	2026-03-31
Globex Holdings	Sample	Sample	Sample	Sample	2026-02-28
Initech LLC	—	—	—	—	2026-01-31
Umbrella Corp	Sample	Sample	Sample	Sample	2025-12-31
Acme Industrial	Sample	Sample	Sample	Sample	2026-04-30

AI Analyst · active

reading

The report identifies payments where a discount was taken and where one was available but missed.

flag

$50K of early-payment discounts were lost — free margin given up by paying just after the discount date.

root cause & next step

Sequence discountable invoices earlier in the pay cycle; a lost discount is a guaranteed return you chose not to take.

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_PAYMENT_SCHEDULES_ALL	dimension	dimension
AP_INVOICES_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_INVOICE_PAYMENTS_ALL	22	2
AP_PAYMENT_SCHEDULES_ALL	21	2
AP_INVOICES_ALL	63	15

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 Discounts lost is a hard-dollar leakage metric; the build trends it by supplier and BU with a recovery target. Irvine rebuilds these on your data.