By Venkat Mankena, HEXstream data analyst

When organizations move from legacy ERP systems, custom applications, spreadsheets, or on-premises solutions to Oracle Fusion Cloud, one of the most critical activities is data migration.

Regardless of how well Oracle Fusion is configured, the implementation cannot be successful if the business data is inaccurate, incomplete, or improperly loaded into the new system.

Oracle Fusion provides multiple migration tools and frameworks that help organizations transfer master data, transactional data, and historical records into the cloud application
efficiently and securely.

This article explains Oracle Fusion Data Migration, how it works, the tools available for migration, and the best practices followed by successful implementation teams.

Understanding Oracle Fusion Data Migration

Oracle Fusion Data Migration is the process of extracting data from source systems, transforming it according to Oracle Fusion requirements, and loading it into Oracle Fusion Cloud applications.

The migration process typically includes:

·      Data Extraction

·      Data Cleansing

·      Data Mapping

·      Data Transformation

·      Data Loading

·      Validation

·      Reconciliation

The objective is to ensure that business data is migrated accurately while maintaining data integrity and consistency across the application.

Commonly migrated data includes:

·      Customers

·      Suppliers

·      Employees

·      Inventory Items

·      Assets

·      General Ledger Balances

·      Purchase Orders

·      Invoices

·      Open Transactions

How Oracle Fusion Data Migration Works

At a high level, Oracle Fusion Data Migration follows a structured process where data is extracted from source systems, transformed into Oracle Fusion compatible formats, and loaded using Oracle-provided migration tools.

The workflow is shown below:

Legacy Systems / Databases / Excel Files

↓

Data Extraction

↓

Data Cleansing

↓

Data Mapping

↓

Data Transformation

↓

Migration Tools

(FBDI / HDL / ADFDI)

↓

Oracle Interface Tables

↓

ESS Import Programs

↓

Oracle Fusion Cloud

↓

Validation & Reconciliation

This workflow ensures that data moves through multiple validation stages before becoming available in Oracle Fusion.

Components of Oracle Fusion Data Migration

To understand the migration process properly, it is important to understand the major components involved.

1. Source System

The source system contains the existing business data.

Examples include:

·      Oracle EBS

·      SAP

·      PeopleSoft

·      Legacy Databases

·      Excel Files

·      Custom Applications

The quality of source data directly impacts migration success.

2. Data Mapping

Data mapping defines how source fields correspond to Oracle Fusion fields.

Example:

Legacy Field    Oracle Fusion Field 

Cust_ID           Customer Number    

Cust_Name    Organization Name 

Tax_Code       Tax Registration Number

A well-defined mapping document serves as the foundation for migration development.

3. Data Transformation

Source data often requires transformation before loading.

Examples include:

·      Date format conversion

·      Currency conversion

·      Account combination restructuring

·      Value set mapping

·      Reference data conversion

Transformation ensures compatibility with Oracle Fusion structures.

4. Migration Tool

Migration tools are used to load data into Oracle Fusion.

Oracle provides different tools depending on the module and data volume.

5. Interface Tables

Most migration tools load data into interface tables before importing it into base application tables.

Interface tables act as staging areas where validations are performed.

6. ESS Jobs

Enterprise Scheduler Service (ESS) jobs process interface records and load them into Oracle Fusion application tables.

ESS jobs also generate error reports if validation failures occur.

·      Step-by-Step Oracle Fusion Data Migration Process

Ø Step
1: Gather Business Requirements

The migration process begins with understanding:

Ø What data needs to be migrated

Ø Historical data requirements

Ø Data retention policies

Ø Business validation requirements

Functional consultants typically provide migration requirements and mapping documents.

Ø Step
2: Extract Data

Data is extracted from source systems using:

Ø SQL
Queries

Ø Reports

Ø APIs

Ø Flat
Files

Ø Excel
Sheets

The extracted data is stored in migration templates or staging areas.

Ø Step
3: Cleanse Data

Before migration, data should be cleaned to eliminate:

Ø Duplicate records

Ø Invalid values

Ø Inactive customers

Ø Obsolete suppliers

Ø Incomplete records

Data cleansing significantly reduces migration errors.

Ø Step
4: Map Data

Source columns are mapped to Oracle Fusion target attributes.

Examples:

Ø Customer Name

Ø Supplier Number

Ø Business Unit

Ø Ledger

Ø Inventory Organization

Mapping documents should be reviewed and approved by business users.

Ø Step
5: Prepare Migration Files

Data is prepared using Oracle migration templates.

Depending on the migration tool, users prepare:

Ø CSV
Files

Ø Excel
Templates

Ø XML
Files

These files are then uploaded into Oracle Fusion.

Ø Step
6: Load Data

The prepared files are uploaded using migration tools.

During this stage:

Ø Data validations are executed

Ø Interface records are created

Ø ESS import jobs are triggered

Any failed records must be corrected and reprocessed.

Ø Step
7: Validate and Reconcile

After successful loading:

Ø Record counts are compared

Ø Financial balances are reconciled

Ø Business users validate results

Only after successful validation should the migration be considered complete.

Oracle Fusion Data Migration Tools

Oracle provides multiple migration tools depending on business requirements.

Ø File Based Data Import (FBDI)

FBDI is the most used migration tool in Oracle ERP and SCM.

Best Used For:

Ø Suppliers

Ø Customers

Ø Assets

Ø Invoices

Ø Inventory Items

Ø Purchase Orders

Process:

Download Template

↓

Populate Data

↓

Generate CSV Files

↓

Create ZIP File

↓

Upload to Fusion

↓

Run Import Process (Load Interface File For
Import)

↓

Validate Results

Advantages:

Ø Supports
large data volumes

Ø Oracle-recommended
approach

Ø High
performance

about:blank

2. HCM Data Loader (HDL)

HDL is Oracle's primary migration tool for HCM implementations.

Best Used For:

Ø Employees

Ø Jobs

Ø Positions

Ø Departments

Ø Payroll Data

Advantages:

Ø Bulk data loading

Ø Supports complex HR relationships

Ø High scalability

3. ADF Desktop Integration (ADFDI)

ADFDI provides Excel-based integration with Oracle Fusion.

Best Used For:

Ø Journal Entries

Ø Budget Uploads

Ø Spreadsheet Updates

Advantages:

Ø User-friendly

Ø Minimal technical expertise required

4. REST APIs

REST APIs are used for real-time integrations.

Best Used For:

Ø Customer Creation

Ø Supplier Updates

Ø Real-Time Transactions

Advantages:

Ø Immediate processing

Ø Supports automation

5. Oracle Integration Cloud (OIC)

OIC provides advanced integration and migration capabilities.

Features:

Ø Data Transformation

Ø Error Handling

Ø Scheduling

Ø Monitoring

Ø Automation

OIC is often used for enterprise-scale migration projects.

Best Practices for Oracle Fusion Data Migration

Ø Start Data Preparation Early

Data preparation usually consumes more effort than the actual migration.

Begin cleansing and validation activities early in the project.

Ø 2.
Build Detailed Mapping Documents

Every migration project should maintain:

Ø Source Field

Ø Target Field

Ø Transformation Logic

Ø Validation Rules

Approved mapping documents reduce implementation risks.

Ø 3.
Clean Data Before Loading

Never migrate bad-quality data.

Remove:

Ø Duplicates

Ø Invalid records

Ø Obsolete data

Ø Incomplete records

Ø 4.
Perform Multiple Migration Cycles

Recommended migration cycles include:

Ø Unit Testing

Ø SIT Migration

Ø UAT Migration

Ø Mock Cutover

Ø Production Migration

Multiple test cycles help identify issues before go-live.

Ø 5.
Validate Every Migration Load

Verify:

Ø Record Counts

Ø Financial Balances

Ø Customer Records

Ø Supplier Records

Ø Inventory Quantities

Successful loading does not always mean accurate loading.

Ø 6.
Follow Correct Migration Sequence

Recommended order:

Reference Data

↓

Organizations

↓

Customers

↓

Suppliers

↓

Employees

↓

Inventory Items

↓

Assets

↓

Open Transactions

Loading data in the wrong sequence can create
dependency failures.

Ø 7.
Automate Where Possible

Use:

Ø OIC

Ø REST
APIs

Ø Validation Scripts

Automation reduces manual effort and improves consistency.

Common Migration Challenges:

Some common issues encountered during migration include:

Ø Poor data quality

Ø Missing mandatory fields

Ø Incorrect mappings

Ø Duplicate records

Ø Validation failures

Ø Reconciliation differences

A structured migration strategy helps mitigate these challenges effectively.

Conclusion

Oracle Fusion Data Migration is one of the most important activities during an Oracle Cloud implementation. A successful migration requires careful planning, accurate data mapping, thorough testing, and proper validation.

By understanding how the migration process works, selecting the appropriate tools such as FBDI, HDL, ADFDI, REST APIs, and OIC, and following proven best practices, organizations can ensure a smooth transition to Oracle Fusion Cloud.

For Oracle Fusion consultants and developers, mastering data migration techniques is an essential skill that contributes significantly to implementation success and long-term system reliability.

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