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.
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.
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.
"You'll never be able to figure out our data",that's what I was told. 48 hours later after putting in some evening hours, mission accomplished.
The beneficial impact of a central repository and process is enormous. In order to realize those benefits, there are important features that the repository must have. Explore five critical features in this post.
A case study that explores the value that Premier International brought to an inflight implementation for a Fortune 500 steel company.
Premier International uses a centralized data repository as one of many tools to eliminate data migration risk. This post outlines 8 benefits of using a central repository as part of an implementation.
Cloud computing is in its infancy, especially in the ERP space and its lack of maturity presents another of challenges.
Bridging the gap between mainframes and the Cloud requires a complex and comprehensive data conversion effort. Premier's comprehensive solution addresses these additional complexities.
It's time for go-live! As cut-over approaches, the "this is real" feeling sinks in. The project plan, quality of data, migration programs, and solution readiness are all examined under a microscope.
While there is a common misconception that Data Migration is simply moving data from Point A to Point B, the reality is almost always much more complicated.
The cost of a Data Migration can be thought of from two angles—the Direct Cost and the Indirect Cost.
Data is always underestimated on new implementations. From the initial data design, to data quality, the migration, and through the final data validation, this underestimation of data is a constant on every project.
Industry experts agree that Data Migration poses the largest risk in any implementation. The findings are the same across platforms and module.
While Data Migration and Data Integration are related, they are two fundamentally different activities with contrasting requirements. They need to be approached as such.