We understand the challenges organizations face when migrating data, including the difficulties of extraction, transformation, and validation. Leveraging our extensive experience with successful Oracle Cloud deployments, we specialize in migrating Finance, SCM, and HCM data from EBS and legacy systems to Oracle Cloud services. Our proven approach ensures a smooth transition, minimizing risks and avoiding delays.
Finance
Supply Chain Management (SCM)
Human Capital Management (HCM)
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Data migration is a pivotal part of any Oracle Cloud implementation, and its success can determine the project’s overall timeline. Proper preparation is crucial, particularly in understanding which data needs to be migrated. It's essential to allocate adequate resources and time for reviewing, validating, and refining data.
Two primary risks in data migration are poor data quality and migrating unnecessary historical data. Data quality issues surface only after the first data migration cycle, potentially causing delays and inconsistencies. Our experienced team addresses these challenges by guiding you through the necessary preparation, ensuring clean, accurate, and relevant data is migrated to your Oracle environment.
At Simplified Loader, we follow a structured, thorough data migration process, designed to ensure accuracy, efficiency, and minimal disruption:
- Catalogue all data entities within scope.
- Determine the sequence, method, and tools at the advisory stage.
- Identify business ownership and assign roles and responsibilities.
- Support the creation of a comprehensive Data Migration strategy.
- Assess data quality within the source system.
- Outline necessary transformations and enhance data quality before extraction.
- Extract data from source systems, leveraging existing reports when possible.
- Identify cleansing needs and collaborate on transformation rules with business leads.
- Reformat data structures and field formats.
- Add default values and derive new data as needed.
- Reconcile transformed data with the source to ensure accuracy.
- Validate each data entity and identify any missing or invalid data.
- Correct errors iteratively to improve data integrity.
- Load the data into the target Oracle Cloud environment.
- Document any errors and report the results of the load process.
- Reconcile the loaded data against the source, ensuring full data accuracy.
- Facilitate user sign-off on each data entity.
- Perform accounting reconciliation, a critical yet often overlooked step.
Our migration approach is typically structured into four data migration cycles before the final cutover, each designed to refine the process and minimize risks:
Establishes the framework for a smooth migration and identifies initial challenges.
The first migration cycle, which reveals key data quality issues for both data owners and the migration team.
During this phase, we focus on solutions to the findings in the migration cycle. This phase defines a clear path to data cleansing, extraction, and validation rules.
The second data migration cycle. During this phase, we aim for 100% data loading and performing accounting reconciliation to ensure accurate financial reporting.
The migration cycle for UAT, where we recommend parallel payroll runs, full data loads, and reconciliations.
The penultimate migration cycle, ensuring all complexities are resolved and a full reconciliation is completed.
The final cutover, marking the complete migration and operational shift to Oracle Cloud.
Each migration cycle is meticulously documented, with step-by-step cutover plans refined throughout each iteration. Our approach ensures continuous improvement, enabling a seamless final cutover. We deliver success through precision, transparency, and thorough reconciliation, ensuring your business operations continue smoothly post-migration.
