VU University Amsterdam (VU) is a public research university in Amsterdam, Netherlands, founded in 1880, and consistently ranks among the top 150 universities in the world by major ranking tables. VU has roughly 27,000 students and 5,000 employees and is an open organisation, strongly linked to people and society.
Without the Nexus Suite this would have taken more than 6 months of effort by multiple SAP functional resources.
VU University Amsterdam were able to save over 6 months of consulting fees, when compared to the cost of the software, equates to a return on investment of over 720%.
Using the Nexus Suite ensured that the migration and validation of the migration from SAP On-Premise to EC Payroll became a straightforward, low-risk part of the project. Enabling Launch! to execute the migration in a controlled way and, mitigated the continuity risk for the VU University Amsterdam payroll process.
The Data Replication Module allowed Launch! to easily migrate all of the existing VU payroll configuration in a matter of hours; additionally, the complete employee data and payroll results history was also migrated. The project team were able to leverage off the module to shift the full payroll data and history for the selected employees throughout the VU ECP landscape in a matter of seconds, allowing immediate and accurate testing and investigation to occur.
With the Payroll Verification Module Launch! and the VU project team were able to instantly compare the EC Payroll generated payroll results against the VU SAP On-Premise payroll results and leverage off the provided detailed comparison reports with Nexus allowing for Launch! to record descriptive analysis messages against each anomaly to explain the reason for any identified differences.
“The migration was so flawless to the point that VU wasn’t even aware that the Nexus Suite had been used – which is a huge compliment in itself – due to how seamlessly and smoothly the migration was executed and completed. Through the use of the Nexus Suite Launch! was able to transform an implementation that had a perceived high risk due to the migration of sensitive payroll data to virtually no risk at all.
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