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5 Questions to Ask Before Starting Your Oracle Cloud Implementation

5 Questions to Ask Before Starting Your Oracle Cloud Implementation
Asking the right questions before your Oracle Cloud implementation sets your organization up for success. Start with these essential considerations.
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Kerry Glass
Kerry
Glass
Senior Manager
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Can Oracle Cloud Fusion meet your business needs now?

Oracle Cloud Fusion has a wide range of modules and is constantly developing more, from HCM to Supply Chain Management, however there are certain smaller modules that are still in development or are not yet available. Make sure that the system as it is today can accommodate your business or you may end up needing additional software and integrations.

Who are your Subject Matter Experts (SMEs) and how much time can they dedicate to the project?

Start identifying support resources for them early. Ensure that your project timeline is designed to accommodate existing crunch times, like financial resources needing to deal with month end close. The more time that your subject matter experts can devote to the project, the more likely it is to be completed correctly and on time.

Where do your business processes involve more than one area?

Get those SMEs talking early and often. Ensure that any systems integrator you are using is aware of these complexities early so that they can help you design your solution correctly the first time. It is much easier to design a complex system from the start than to redesign it to incorporate surprises.

How can we get data right the first time?

Unlike on-premise solutions, once data is loaded into an Oracle Cloud pod, it cannot be deleted except in rare cases. Once data is loaded into production, it is there until you move to a new system. Plan for your teams to thoroughly review your converted data every test cycle so that by the time your new system goes live, everyone is confident that they have the necessary data to do their job.

What is the reporting solution for historical data?

Converting more historical data than you absolutely need will cost you time (increased cutover and possible performance issues in your pod) and money (more pod space and time spent cleaning up historical data).

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