Correct ERP master data is a prerequisite for digital and automated business processes.
Companies that display their business processes on the basis of ERP systems such as SAP should therefore not underestimate the effort that is needed to maintain their master data. Incorrect or outdated data causes problems when it comes to processing ERP applications – and in the worst case, can bring your business processes to a complete standstill.
Every company that displays its business processes in ERP should address the following questions:
- ERP master data workflow: Have you established a process whereby you regularly and ideally automatically check your master data for errors and duplicates?
- ERP master data governance: Are the responsibilities for master data maintenance clearly defined in your organization and do all the employees involved know what to do and when?
- ERP master data management best practices: Do you rely on established standards for your company-wide ERP master data management and thereby lay the foundation for the successful digitalization of your business processes?
Avoid High Costs Due to Incorrect Master Data
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Effective master data management in companies has the task of providing business processes and ERP transactions with consistent and correct master data. The follow-up costs of having incorrect master data are enormous.
Incorrect master data has catastrophic consequences, particularly in logistics and production processes. Duplicates and unmaintained master data in ERP can lead to incorrect deliveries and material bottlenecks, which in turn can cause considerable disruptions to your business processes in materials management. Your employees must ultimately use manual workarounds to minimize the repercussions so that customer satisfaction is not threatened and follow-up costs are kept to a minimum.
Master data management in ERP is anything but a trivial matter.
A material master data record in ERP MM alone contains up to 1,000 individual fields. Maintaining and continuously optimizing ERP master data thus requires the establishment of comprehensive ERP master data governance and the implementation of a predominantly automatic workflow.
Sperton team has a large portfolio of experts in Data Analytics, Data Science and Machine Learning, Software Development, ERP Master Data Management.