Who needs to act now?
Anyone who is able to store all their data in the productive system, e.g. ERP, financial accounting, and in upstream and parallel data-processing systems, e.g. payroll, time recording, cash desk systems etc., for ten years or more and has an export function that meets the GDPdU description standard for the provision of data carriers, need not do anything. However, these people are in the minority. Many organisations are faced with unmanageable technical problems that make long-term storage and auditing of data in the productive system impossible. For these organisations S.E.R.'s analysable archive is the ideal solution. The main points:
Situation 1: Purchasing a new ERP system
When changing systems, migrating the old data to the new system would often be too time-consuming, if not impossible. The old system would have to continue to be run in parallel with the new productive system at considerable additional cost. It is also doubtful whether an old system can be operated over such a length of time. In these cases, manufacturer support for software and hardware needs to be guaranteed and knowledge about the old system needs to be maintained within the organisation itself. This is a calculation with a lot of unknowns!
Situation 2: Carrying out a release upgrade of your ERP system
If tax-relevant data have been moved to a different system before the release upgrade, a new database structure in the new release will prevent the old data being imported back into the productive system. Any changes to the master data carried out in the meantime will lead to data inconsistencies or skewed results when old data is copied back.
Situation 3: The performance of your productive system is hampered by high volumes of data
If you regularly export old data from your productive system for capacity and performance reasons, it may be impossible to import these old data again if the system is modified, e.g. in the case of changes to the database.
Situation 4: Heterogeneous application landscape
Additional difficulties arise from the fact that tax-relevant data are typically created using a large number of different data-processing systems and have to be stored in an analysable format. Vendor solutions for productive systems are not sufficient in this situation. All data-processing systems that produce tax-relevant data must fulfil the requirements of the fiscal authority. A complete GDPdU solution for all data-processing systems would appear to be the perfect answer here.
