Author: Simus Systems

For many companies, the introduction of SAP S4/HANA is a strategic milestone on the road to digitalization. The quality and structure of the master data represent a key challenge.

External master data management, synchronized with SAP systems, brings added value such as ease of use, cost-conscious design and calculation of the product carbon footprint.

The advancing digital networking of industry requires flexible data management. ERP systems offer hardly any support for the adaptation, optimization and maintenance of master data. simus systems closes this gap with the simus classmate software suite.

ERP systems offer hardly any effective means for data maintenance. This is particularly noticeable when a migration is pending. With established standards, proven procedures and efficient tools, simus systems has been supporting the optimization of ERP master data for S/4 Hana for years.

Many manufacturing companies reach a limit with their digitization initiatives: The nature and quality of master data stand in the way of attempts to connect systems and model processes end-to-end.

Higher data quality and better interfaces between the domains of product development, production, and procurement and sales would bring many medium-sized manufacturing companies a good deal further along the path to digitization.

There are many reasons for subjecting ERP master data to a revision: These include company acquisitions, the migration of IT systems, preparation for digitization and automation projects, or process improvements.

The migration of data from a legacy system to a new IT environment is considered a critical hurdle before a system change. As a specialist and software provider, Simus systems achieves the best results in this process - as the migration of Piller Blowers & Compressors to S/4HANA shows.

Master data governance defines how a company handles master data from a strategic, organizational, methodological and technological perspective. simus systems implements this concept with a consistent focus on sustainably high data quality.