Oracle Fusion Data Extraction Tool Explained | Features, Benefits & Use Cases

Introducing Oracle Fusion’s New Data Extraction Tool: A Game-Changer for Reporting

Discover Oracle Fusion’s new data extraction tool designed for faster reporting and seamless BI integration. Learn key features, benefits, and real-world use cases to optimize your data strategy.

Introduction to Oracle Fusion Data Extraction Tool

In today’s data-driven landscape, organizations using Oracle Fusion applications need faster, more flexible ways to access and analyze their data. To address this need, Oracle has introduced a powerful new data extraction tool within Oracle Fusion—designed to simplify reporting, improve performance, and enhance user control.

This article breaks down everything you need to know about this latest feature and how it can transform your reporting workflows.

What is Oracle Fusion’s Data Extraction Tool?

Oracle Fusion’s new data extraction tool is an advanced capability that enables users to efficiently pull large volumes of data directly from Fusion applications. It is specifically built to support reporting, analytics, and integrations without placing heavy loads on transactional systems.

Unlike traditional reporting methods, this tool provides a streamlined and scalable approach to data extraction, making it ideal for business intelligence (BI) and external reporting needs.

How to Enable and Use Oracle Fusion Data Extraction Tool (Step-by-Step)

Step 1: Enable the Data Extraction Tool in Oracle Fusion

To get started, the feature must be enabled from the setup configuration:

• Navigate to Setup and Maintenance
• Search for the relevant offering (currently under Manufacturing / Supply Chain)
• Locate the feature: - “Redwood: Extract Application Data from a Read-Optimized Data Store”
• Enable (opt-in) the feature

Once enabled, the tool will become available in the Tools menu.

Note: You may also need to raise a Service Request (SR) with Oracle Support to fully activate the functionality.

Step 2: Configure Required Profile Option

Next, you must enable a specific profile option to allow integration:

• Go to: Setup and Maintenance
• Open: Manage Administrator Profile Values

• Search for profile code:
• ORA_ASE_SAS_INTEGRATION_ENABLED

          Set the value at Site level = Yes

• Save the changes

This step ensures the backend integration required for data extraction is active.

Step 3: Create and Assign Security Role

Security configuration is critical for accessing the tool.

• Create a Custom Role:
• Navigate to Tools → Security Console
• Click Create Role
• Provide a role name (e.g., Data Extraction Role)
• Select appropriate role category
• Enable Permission Groups

Add Required Roles:

Include the following roles in the hierarchy:

• ESS Admin
• OBIA Extract Transform Load (RWD)
• Supply Chain Integration Specialist

Assign Role to User:

• Go to Users section
• Assign the newly created role to your user account
• Save changes

This ensures proper access control and permissions.

Step 4: Access the Data Extraction Tool

Once setup is complete:

• Navigate to Navigator → Tools → Data Extraction
• Open the application

You will see three main sections:

• Extract Definitions : Configure what data to extract and how
• Extract Schedules : Set one-time or recurring extraction jobs
• Extract Jobs : Monitor past and ongoing extraction runs

These sections control the entire extraction lifecycle.

Step 5: Create a New Extract Definition

To extract data:

• Click “+” (Create Extract)
• Enter:
• Name
• Description (optional)
• Extract date (if required)

                                      

Select Output Format:

• CSV (default)
• JSON

Choose Data:

• Select business area (e.g., Supply Chain, Finance)
• Drill down to functional module (e.g., Order Management)
• Choose objects (e.g., Sales Orders)
• Select required attributes/fields

This step defines what data will be extracted.

Step 6: Schedule or Run Extract

You can now execute the extract:

• Run on-demand (manual)
• Or create a scheduled job for automation

Scheduling ensures continuous data availability for reporting and analytics.

Step 7: Monitor Extract Jobs

Finally, track your extraction:

• Go to Extract Jobs
• Check:
• Status (Running / Completed / Failed)
• Execution logs
• Errors (if any)
• Once completed, data files are securely uploaded to UCM (Universal Content Management).
• Retrieve your extract:
• Visit your UCM instance (usually hostname/cs).
• Navigate to Content Management > Checked Out Content.
• Search with the Request ID from your extraction job.
• Download the generated zip file containing your data and metadata in CSV format.

This helps in troubleshooting and managing data pipelines effectively.

Key Features of the New Data Extraction Tool

1. High-Performance Data Extraction

The tool is optimized for extracting large datasets quickly and efficiently. It minimizes system impact, ensuring that your Oracle Fusion environment continues to perform smoothly.

2. Flexible Data Selection

Users can define exactly what data they need by applying filters, selecting attributes, and customizing extraction criteria. This flexibility helps reduce unnecessary data processing.

3. Seamless Integration with BI Tools

The extracted data can be easily integrated with popular BI and analytics tools, allowing organizations to generate insights without complex transformations.

4. Scheduled and Automated Extracts

Automation is a key advantage. You can schedule data extraction jobs to run at specific intervals, ensuring that your reports are always up to date.

5. Improved Data Accuracy and Consistency

By extracting data directly from Oracle Fusion in a structured format, the tool ensures high data accuracy, reducing discrepancies in reporting.

Benefits of Using Oracle Fusion Data Extraction Tool

Faster Reporting

With quicker data extraction, reporting cycles are significantly reduced. Teams can access insights faster and make timely decisions.

Reduced System Load

Traditional reporting methods often slow down transactional systems. This tool minimizes that impact, improving overall system performance.

Enhanced Data Accessibility

Business users can access the data they need without relying heavily on IT teams, promoting self-service analytics.

Better Decision-Making

Accurate and timely data leads to more informed decisions, giving organizations a competitive edge.

Oracle Fusion’s new data extraction tool is a major step forward in simplifying enterprise reporting and analytics. With its high performance, flexibility, and integration capabilities, it empowers organizations to unlock the full value of their data.

If you’re using Oracle Fusion applications, adopting this tool can significantly improve your reporting efficiency and data strategy.