Analytics Catalog/Oracle EPM/FCCS/Journal Export
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Oracle EPM Cloud · FCCS · Export

The journal export, adjustments with their story

A journal is two things: an amount in the cube, and a story around it, who wrote it, who approved it, when it posted. An export that carries only the amount has lost the half the auditor came for.

Second export page of the FCCS reference, companion to the consolidated data export. The journal lifecycle itself lives on the Journals page, and the whole reference is mapped on the FCCS index.

RuleExport both halves: the amounts from the journal input slice of the cube, and the journal detail, labels, statuses, approvers, dates, from the journal listing. Join them in the warehouse on label and period.
Nevertreat the cube slice alone as the journal trail. The cube stores posted amounts; the workflow story lives outside it, and an audit answer without the story is an amount with no witness.
The two halves, and where each comes from— amounts from the cube, the story from the listing.
HalfHow it exports
The amountsThe same export job as the consolidated slice, filtered to the journal input member of the Data Source dimension. Every posted adjustment by entity, account, movement, and period, in rows the warehouse already knows how to receive. Only posted journals exist in the cube; drafts are invisible here by design.
The storyThe journal listing carries what the cube cannot: label, description, status, who created, who approved, who posted, and when. Export it from the application alongside the data run, same cadence, same dated filenames, and the drafts and rejected journals appear here even though they never touched a number.
The joinLabel plus scenario, year, and period ties the story to its amounts. A journal in the listing with no rows in the cube is unposted or rejected, working as intended. Rows in the journal input member with no listing entry is the finding, and the join is how it surfaces.
What the export makes possible— three questions that stop requiring a login.
QuestionAnswered by
What did people change this period, and why?Journal rows by entity and account, each carrying its label and description. The adjustment analysis the Journals page calls a filter, running outside the application, any morning.
Who approved the big ones?The story half, sorted by amount, with approver and timestamp. The audit sample selects itself, and the answer arrives without anyone screen-sharing a journal list in a meeting.
Did the auto-reversals land?Each accrual's label paired against its next-period reversal, amounts netting to zero across the boundary. The year-end check from the lifecycle rules, as a query.

In the owned warehouse, the star schema we recommend building beside FCCS on your own cloud, mapped here, journal amounts land as source-tagged fact rows and the story lands as its own table, joined on label and period, gated by the same row-count and tie-out checks as the main export. Cube storage behavior and journal lifecycle verified against Oracle's documentation, July 2026.

Audit season means screen-sharing journals?
We land the amounts and the story side by side, joined and gated, and the sample, the approvers, and the reversals answer as queries.
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Terms on this page
the two halves
Amounts in the cube, story in the listing. An audit answer needs both.
journal input slice
The Data Source member holding posted adjustment amounts.
the join
Label plus scenario, year, and period. Story meets amount here.
the finding
Amounts with no story. The join surfaces it before the auditor does.