Data best practices for modern organizations

Explore 4 steps to consider when implementing Oracle Cloud ERP together with Ivalua to improve your organization’s supplier on-boarding management, sourcing and RFx, contract redlining...

If you plan on implementing Oracle Cloud PPM and Grants the following questions will help head of issues before they become problems that impact the implementation.

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

The State of Iowa and Workday in conjunction with governing.com shared the State’s journey to the cloud over the past several years. The webinar discussed lessons learned, including data conversion.

The following checklist leverages Definian's experience implementing dozens of Oracle projects that can help your organization prepare it's upcoming Oracle Cloud ERP implementation.

To realize the power of Oracle's Cloud applications, it is critical that the underlying data is clean and correct. Understanding the top challenges while migrating into Oracle Cloud is critical to the project's success.

It has become increasingly difficult for Implementation Partners to distinguish themselves from their competition as Cloud solutions have eliminated many of the previously available customizations.

An IT project is a complex system of software, data, people, and requirements. Software goes through versions, data points move, and people evolve, but requirements stand out as the most fluid element of a project.

Curious who is responsible for what aspects of data on complex implementations? This article contains a of RACI of who is Responsible, Accountable, Consulted, and Informed for the major activities of a data migration.

Data validation is critical to the success of every Oracle ERP Cloud implementation. Without knowing how or what to validate validation can lead to unpredictable test cycles, long hours, and project delays.

Read through 9 activities will help ensure that your implementation gets started on the right foot.

Data profiling is a critical step in uncovering the data landscape. This posts provides a high level summary of some simple types of profiling that are commonly used to assist in landscape analysis.