Successfully migrate master data
The focus on customer master data is an important key to the success of a migration project.
The migration of master data is an essential process when companies introduce new systems or merge. Careful planning is required when migrating customer master data to avoid data loss, inconsistencies or a lack of data integrity.

What is involved in successfully migrating master data?
In companies, master data forms the basis for business processes and decision-making, for example. Master data includes product master data and customer and prospect master data in particular. Customer master data is the core for all customer-related processes from marketing and market approach to sales and service, finance and delivery. The migration of this particularly important data refers to the transfer from an old system to a new one, be it CRM or ERP software such as SAP S/4HANA. To ensure that everything functions optimally in the new system, the declared goal must be to transfer the data completely, consistently and in high quality.
What is important when migrating Master Data?
The successful migration of Master Data depends on several factors that are critical to success:
What role does Data Quality play in successful Data Migration?
High-quality data is the key to an error-free migration. Incorrect or incomplete data leads to problems in the new system, such as incorrect customer allocations or incorrect billing. Many problems can be avoided by cleansing, standardizing and validating data before migration. Regular quality checks during and after the Data Migration ensure that the data meets the desired standards.
Consolidated and high-quality data literally forms the foundation for many other business processes. Many operational and analytical departments can access this data and thus contribute the piece of the puzzle to the 360 degree customer view. For example, marketing can play out targeted personalized campaigns. Or Finance can send invoices to the correct address based on data or carry out portfolio analyses without duplicate debtors. Or Business Intelligence can analyze the central database according to all the rules of the art in the most diverse directions and derive recommendations for action from the analysis results and back up decisions. To name just two examples.