Over the years, large sums are invested into process configurations, customizing and in-house developments. These investments should be protected. Process configurations, customizing and in-house developments are first transferred without data using SNP CrystalBridge. Afterward, they can be modified individually to unlock the benefits of SAP S/4HANA. Finally, master data and transaction data are transferred and simultaneously adapted to the new environment. This is possible thanks to the separation of the target system setup and the data migration.
Different architectures pose a challenge for any SAP S/4HANA migration. The harmonization requirements and consolidation options are therefore determined in advance and recommendations for action are provided – all automatically. The migration is carried out based on predefined rules and using an automated rule set, meaning that you no longer have to manually work through tables.
We have condensed the knowledge that consultants usually bring to a project into a standardized procedure that is almost completely automated. Some manual work always remains, but we have reduced this to the absolute minimum, maximizing your control over the project.
A quality check built into the software enables you to continuously monitor and safeguard your project. To provide full transparency, management, project leads and project members can see the current status of a project at any time. This enables them to identify problems early on and solve them at a very early stage of the project. Checkpoints known as quality gates verify the result after each project stage and indicate whether any issues occurred. They provide troubleshooting tips so that you can smoothly proceed to the next project phase. The quality gates are designed very intuitively for the user based on the traffic light principle.
Tests are costly and test resources often scarce. After the migration, we therefore perform automated tests and data consistency checks to accelerate the validation of data.
Companies have little room for business disruptions. The consequences of long downtimes range from production interruptions to a loss of revenue and reputational damage. Depending on the company’s size and revenue, the downtime costs may well range between USD 100,000 to USD 1,000,000 per hour. With near-zero downtime, you can reduce your downtime window to a minimum. This saves significant costs and allows for flexibility, making the downtime much less dependent on the size of your system.
