Fortune 500 Global CPG Giant’s Recipe for Data Success

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One of the world’s largest Fortune 500 global CPG companies faced a growing data challenge as its operations expanded. The company relied heavily on Oracle Fusion to manage critical functions like supply chain, financials, and inventory management, but when they adopted BigQuery as their cloud data warehouse (CDW), they hit a roadblock. Extracting Oracle Fusion data into BigQuery wasn’t just slow—it was riddled with complexities that demanded extensive coding, a large data engineering team, and months of effort.

Stalled by Data Complexity

They needed a plug-and-play solution to move Oracle Fusion data into BigQuery without the overhead of custom pipelines. But existing ETL tools couldn’t address their key challenges:

• Manual Deletion Headaches – Tracking deleted records in Oracle required 5+ hours a week of manual cleanup.
• Shifting Schemas – Oracle frequently added or removed columns in standard objects (PVOs), breaking existing ETL processes.
• Data Overload – Extracting large volumes of data from Oracle BI Publisher (BIP) was slow and resource-intensive.
• Report Chaos – Managing and bursting BIP reports was cumbersome, delaying insights.
• Lagging Data – They needed incremental refreshes as fast as every 5 minutes, not hours or days.
• Two-Way Traffic – Writing changes back to Oracle was just as critical as pulling data out.
• Data Integrity – Maintaining alignment between related records (like sales order headers and details) was a constant struggle.

Without solving these issues, their business users couldn’t get complete, timely insights into finance, supply chain, and inventory—slowing decision-making across the enterprise.

Direct Data Mapping with Incorta

The Fortune 500 giant turned to Incorta, leveraging its Direct Data Mapping technology to bypass slow, complex ETL processes. Unlike traditional tools, Incorta connected directly to Oracle Fusion’s raw tables, delivering analytics-ready data to BigQuery in just two months with a lean data engineering team—much faster than the quarters-long effort previously required.

• Handled Deletions Automatically – While most tools ignore deleted records, Incorta tracked and persisted them to BigQuery, saving 5+ hours a week of manual work.
• Adapted to Schema Changes – Oracle’s frequent column updates no longer broke pipelines—Incorta adjusted dynamically.
• Optimized BIP Extraction – Even massive BIP datasets loaded without performance drag, eliminating bottlenecks.
• Enabled Real-Time Analytics – With 5-minute incremental refreshes, data stayed current for faster decisions.
• Two-Way Sync – Incorta wrote changes back to Oracle without custom code, ensuring bidirectional accuracy.

Preserved Referential Integrity – Related datasets (like orders + line items) stayed perfectly linked, eliminating reconciliation headaches.

With minimal engineering effort, their data landscape transformed:

• ‍Eliminated manual bottlenecks, freeing teams to focus on insights—not data wrangling.
• ‍Achieved seamless BigQuery adoption with analytics-ready data.
• ‍Gained real-time visibility into finance, inventory, and supply chain operations.
  

For this Fortune 500 global CPG, Incorta proved that even the most complex enterprise data challenges can be solved—quickly and without heavy lifting.
The result? Faster insights, sharper decisions, and a recipe for data success.