Data Migration

Oracle ERP Data Migration is the process of moving data from one or more sources to an Oracle ERP system. Here's a general approach for Oracle ERP data migration which we take at Mcube Consulting

Typical project management methodology and approach Include:

Planning Phase

Identify the source system(s) and data to be migrated
Define the migration scope, timeline, and budget
Determine the target Oracle ERP system and versions
Identify the data migration requirements, including data quality and format standards
Determine the data migration strategy, including data mapping, conversion rules, and data validation

Extraction Phase

Extract the data from the source system(s) in accordance with the migration requirements
Cleanse and validate the data to ensure it meets the data quality standards
Convert the data to the required format, using any necessary transformation or mapping tools
Perform a data reconciliation to ensure that the data extracted is complete and accurate

Loading Phase

Configure the target Oracle ERP system to accept the data
Load the migrated data into the Oracle ERP system
Verify that the data is correctly loaded and conforms to the data quality standards
Conduct a data reconciliation to ensure that the data loaded matches the source system(s) data

Validation Phase

Test the migrated data in the Oracle ERP system to ensure that it is working as expected
Conduct end-to-end testing to ensure that the migrated data is correctly integrated into the Oracle ERP system
Verify that all reports and interfaces are working correctly with the migrated data
Conduct user acceptance testing to ensure that the migrated data meets the business requirements

Post-Migration Phase

Finalize the data migration project and obtain formal acceptance from the stakeholders
Develop a data maintenance plan to ensure that the migrated data is updated and maintained correctly in the Oracle ERP system
Archive the legacy data and decommission the source system(s) as required
Conduct a post-implementation review to identify any issues and areas for improvement

It's important to note that the data migration approach may vary depending on the specific requirements of each migration project. Also, a successful data migration is not only a technical exercise but also requires strong project management and stakeholder engagement to ensure that the migrated data meets the business requirements and is accepted by the end-users.

We typically recommend a few rounds of Data Migration test cycles before we do the dry run before the actual Cutover Data Mirgation cycle.

Typical project management methodology and approach Include:

Planning Phase

Extraction Phase

Loading Phase

Validation Phase

Post-Migration Phase

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