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Oracle Fusion Analytics · End to End

What a full Oracle Fusion analytics implementation looks like.

A concrete walkthrough — from a finance team's first weeks on Oracle Fusion Cloud ERP to a customer-owned analytics platform they run themselves. The specific reports, reconciliation, and evidence delivered at each of five phases, and what you own at the end.

Illustrative scenario · a 100-user finance team · figures and names are synthetic.
The starting point

Week one on Fusion: the ERP is live, the reporting is not

A mid-market company has just gone live on Oracle Fusion Cloud ERP. The system of record works. Getting numbers out of it does not — and the finance team is weighing Oracle's own analytics product to fix it.

Where the finance team is today
  • The controller rebuilds the trial balance by exporting from OTBI into Excel — three days every close, and large ledgers need multiple passes around the 25,000-row export cap.
  • Cross-module questions — GL to subledgers to Projects — time out in BI Publisher past ~500K rows.
  • There is no year-over-year: Fusion only holds data since go-live, so close benchmarking is impossible.
  • The Oracle option on the table is a Fusion Data Intelligence quote at $450 per user per month — about $1.62M over three years at list for 100 users, hosted on a second cloud (OCI).
The engagement · five phases, 45 to 90 days

From first data walkthrough to a platform you own

01
Discover 3–5 days

We walk the finance data with the controller and a data owner, agree the priority module (General Ledger) and the eight reports that hurt most today, and choose the cloud. Because the team already runs Google Cloud, the warehouse lands in BigQuery — no new vendor. We map Fusion security — which ledgers and business units each role can see — so access can be rebuilt exactly.

You receiveA one-page scope, a reconciliation plan (which control totals must tie, and to what tolerance), and a fixed fee for the pilot.
02
Pilot 10 days · paid only on go-live

General Ledger live, end to end. BICC extracts the GL view objects into BigQuery; raw data is preserved unchanged (bronze), modeled into a clean star schema (silver), and curated into finance-ready tables (gold). Eight priority reports, one dashboard, and the read-only AI analyst go live. Every number reconciles to Fusion before publish.

A tangible momentOn its first run, the journal-entry quality report surfaces every JE from Fusion in near real time and flags three manual spreadsheet journals over $500K posted on the last day of the period — the kind of thing the controller used to find weeks later, in the audit.
You receiveA working General Ledger analytics module on your cloud. You pay only now, on go-live.
03
Production 30–60 days

The remaining modules go live — Accounts Payable, Accounts Receivable, Fixed Assets, Project Accounting — 40+ reports in total. Row-level security is rebuilt from Fusion and tested, so a business-unit controller sees only their entities, exactly as in the ERP. Refresh runs daily, hourly during close.

A tangible momentThe AR aging dashboard ages 315 customers by bucket, refreshed daily, with DSO trending against target — the AR manager works the 90-plus-day balances every morning instead of waiting for a monthly Excel.
You receiveThe full production platform: all modules, all reports, role-based access, automated refresh.
04
Validate 1–2 weeks

Every KPI is reconciled to the Fusion source to a 0.01% tolerance, by ledger, period, account, and source system. The finance team runs UAT across a real close. The AI analyst is tested against a 50-plus-question bank; it answers correctly on 95%+ and cites its source tables, filters, and refresh time on every answer. CFO and CIO sign off.

You receiveA reconciliation evidence pack and a security evidence pack — both audit- and SOX-ready.
05
Operate ongoing · run by your team

Daily refresh runs automatically; reconciliation is deterministic with AI-assisted exception explanation. Quarterly Oracle patches are tested against the pipeline before they reach production. New KPIs are added through a tested CI/CD pipeline. Your existing finance and data people run it — no new hires. A light retainer is available if you want one, but it is optional.

You receiveRunbooks, documentation, and the CI/CD pipeline — everything needed to run the platform without us.
The end state

Where the finance team lands

Close reporting
Days to hours. The trial balance that took three days of Excel pulls is a dashboard that refreshes daily.
Self-service
Finance answers its own questions — no IT backlog, no Excel pulls, no row caps.
Full history
Preserved against audit retention, so real year-over-year and close benchmarking finally work.
Cost
Roughly 80% less than the three-year FDI quote, on the cloud they already run — with no second environment to maintain.

And they own all of it. If they ever part ways with Irvine, the platform keeps running.

What you own at the end

The deliverables, in your hands

Data model
Customer-owned, on your cloud — BigQuery, Snowflake, Databricks, or your hyperscaler of choice.
40+ finance reports
General Ledger, Accounts Payable, Accounts Receivable, Fixed Assets, Project Accounting — with one-to-one Oracle definitions.
Dashboards
In ThoughtSpot, Power BI, or Tableau — the BI tool your team already uses.
Read-only AI analyst
Explains exceptions with evidence; never posts, approves, or changes data.
Reconciliation evidence pack
Control totals tied to Fusion by ledger, period, account, and source system.
Security evidence pack
Row-level access controls rebuilt from Fusion and tested — audit-ready.
Code, CI/CD & runbooks
The pipeline, documentation, and operating playbooks — so your team runs it without us.

See this mapped to your own Fusion footprint.

A 30-minute discovery call. We'll walk the five phases against your modules, your user count, and the reports your close actually needs.

Book a discovery call See the FDI comparison →
nik@irvineanalytics.ai