OAN Fusion Sync extracts data from Oracle Fusion with BICC and loads it into your Oracle database on a schedule. It handles the parts raw BICC leaves to you: deletes, reconciliation, and full visibility over every job, file, and table.
Oracle BICC is a solid extraction engine. But turning it into a dependable, observable pipeline into your database means solving deletes, reconciliation, scheduling, and traceability yourself. That is a project, and then it is a maintenance burden.
BICC extracts run, but you cannot easily see which jobs ran, what is still pending load, how many rows moved, or what failed. Every incident becomes a log-reading exercise.
BICC tells you what changed, not what was deleted. Rows removed in Oracle Fusion linger in your database, and your reports slowly diverge from the source with no warning.
Once data lands in your database, how do you know it is complete? Without a count check against the source, nobody can say with confidence that the two systems agree.
Some objects you need simply are not exposed as a BICC public view object. Without a fallback, that data stays trapped in Oracle Fusion.
OAN Fusion Sync wraps BICC in everything a real pipeline needs. It extracts, stages, loads, and reconciles your Oracle Fusion data, and gives you a single dashboard to run and trust the whole thing.
Pull data from Oracle Fusion public view objects with BICC, and cover the gaps with BI Publisher reports driven by your own SQL. Nothing is left behind.
Land files in staging tables that mirror the source, then merge them into your application tables and status columns. Deletes reconciled, so your data stays true.
Compare counts against Oracle Fusion, trace every PVO to its table, and watch every job, file, and alert from one dashboard built for the whole team.
Everything a production Oracle Fusion data pipeline needs, built in and ready to run.
Group pipelines by application or module, AP, AR, yard management, and more. Each module owns its jobs, tables, and schedule, so a large landscape stays organized and easy to reason about.
Every extract runs on its own interval with status, last start, next run, and failure counts in plain view. Incremental by design, so each run moves only what changed.
BICC files land in staging tables that mirror the source, then a load job merges them into your application tables and status columns. A clean, auditable two-step pipeline.
Because BICC does not report deletions, OAN Fusion Sync pulls unique identifiers from the source entity and reconciles them, removing rows deleted in Oracle Fusion so your data stays true.
Compare row counts between Oracle Fusion and your database, table by table, and surface every mismatch with the exact difference. Snapshots keep a history you can trust and defend.
When an object has no BICC public view object, define a BI Publisher report with your own SQL and extract it through the same pipeline. No data left stranded in Oracle Fusion.
Pause the entire pipeline or a single job with one click before a Fusion upgrade or maintenance window, then resume when you are ready. Every action is audited.
See exactly which Fusion public view object maps to which database table, its last refresh, and its recent data and file activity. Anyone new can trace the flow in minutes.
Failures, stale tables, and stale BIP reports are collected in one place with timestamps and context, so problems surface before someone downstream notices bad data.
The dashboard turns a batch of BICC jobs into an observable system. Health at the top, trends in the middle, and the active pipeline, catalog, and count checks below.
A tour of the OAN Fusion Sync dashboard, from job schedules to count checks.
Built entirely in Oracle APEX. Here is what your team works with day to day.
A simple, traceable path from source to application table, with a checkpoint at every stage.
BICC pulls data from Oracle Fusion public view objects, or a BI Publisher report runs your SQL, and the result is written out as files in the format BICC provides.
The extracted files land in staging tables that match the source structure, giving you a clean, isolated landing zone before anything touches your application data.
A load job picks up the staged data and merges it into your application tables and status columns, updating vendor lists, invoice statuses, and anything else you sync.
Unique identifiers from the source entity are reconciled against your database, and rows deleted in Oracle Fusion are removed so the two systems stay aligned.
A count check compares Oracle Fusion and your database table by table, records a snapshot, and flags any mismatch with the precise difference.
The dashboard tracks every job, file, and table in real time, with charts, an active-pipeline view, and alerts, so the whole flow is observable end to end.
Say your AP invoice processing app needs an updated vendor list and current invoice payment statuses. A job downloads that data from Oracle Fusion in the BICC format, lands it in staging tables, and a second job merges it into your application tables and status columns. Deleted vendors are removed by the delete sync, and a count check confirms your database now matches Oracle Fusion.
An Oracle-native application that runs where your data runs, with the controls IT leaders expect.
A native Oracle application, not a new platform to license and learn. It lives next to your data, on the stack your team already runs.
Sync into an Oracle database wherever it runs. Data residency follows your database, not a third-party service. It does not matter where you host it.
Uses the supported, Oracle-native BICC public view object extraction path, with BI Publisher as the fallback for objects that have no PVO.
Pause, resume, and schedule changes are all captured in an audit trail, so you always know who changed the pipeline and when.
Reconciliation runs are stored as snapshots over time, giving you a defensible record of parity between Oracle Fusion and your database.
Jobs move only what changed since the last run, keeping extraction efficient and your data continuously current without full reloads.
OAN Fusion Sync is an Oracle APEX application that extracts data from Oracle Fusion Cloud Applications and syncs it into your Oracle database. It schedules and monitors BICC extract jobs, loads data through staging tables into your application tables, handles deletes, and reconciles row counts between Oracle Fusion and your database.
Yes. OAN Fusion Sync uses the standard Oracle BI Cloud Connector (BICC) to extract data from Fusion public view objects. For objects that have no PVO, it falls back to BI Publisher report extraction driven by your own SQL, so nothing is left behind.
BICC reports inserts and updates but not deletions. OAN Fusion Sync downloads the unique identifiers from the source entity and reconciles them against your database, then removes any rows that no longer exist in Oracle Fusion. Your database stays aligned with the source.
You define a BI Publisher report with the SQL query you need, and OAN Fusion Sync extracts that data through the same pipeline as BICC jobs. This covers objects that BICC does not expose as a PVO.
Both. OAN Fusion Sync syncs into an Oracle database whether it runs on Oracle Cloud Infrastructure or on-premises. Data residency follows your database.
The built-in count check compares row counts between Oracle Fusion and your database, table by table, and flags every mismatch with the exact difference. Each run is stored as a snapshot, so you have a historical, defensible record of parity.
Yes. You can pause the entire pipeline or any individual job before an upgrade or maintenance window, then resume with a single action. A running job finishes and upcoming runs are skipped, and every pause and resume is audited.
It is scheduled and incremental rather than real-time. Jobs run on the interval you set, for example every few minutes, and move only the data that changed since the last run.
Book a working session with an OAN architect. Bring the objects you need from Oracle Fusion, and we will show you how OAN Fusion Sync extracts, loads, and reconciles them into your database.
No commitment. A working session with architects who have shipped Oracle Fusion data pipelines before.