Calculating Oracle Cloud Data Migration Effort

One of reasons data is cited as an issues on implementations stems from underestimating the data effort before the project even starts. Learn what needs to be considered in an estimate effort.

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Oracle

Steve

Novak

Principal, Emerging Technology Practice Lead

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Oracle Cloud Data Migration Effort

If you're implementing Oracle ERP, SCM, Finance, HCM, Sales or any other combination of Oracle modules, it's of critical importance to review all activities and corresponding effort of each one well in advance to the start of the implementation.

When planning and estimating the data migration there are 5 main phases of data assessment, data quality, data transformation, data load, and the data validation that should occur during the course of an implementation. These phases plus timeline, expertise and a several other factors make up an accurate data migration estimate and help keep the project on track. Depending on your landscape and retention requirements, a sixth requirement of systems retirement might also be required.

The attached checklist can be used to help ensure that core activities and deliverables are accounted for while estimating the Oracle Cloud data migration effort.

If you missed the in-depth presentation that focused on Oracle Cloud data migration effort and reviews the deliverables each of these deliverables across these phases, the replay can be found at:

‍https://us02web.zoom.us/webinar/register/WN_QIwhd3t5Q5qYRLtMevSofg