Master Data Excellence

The necessary process analysis is resource-intensive, because only when processes are clear and everyone knows who has data sovereignty, who maintains which data, which data is held by whom, only then does the operational MDM (master data management) software come into focus.

However, there is a key difference between a consolidated ERP project and a master data initiative: The latter analyzes the existing processes, adapts them to the required target state, and defines processes, rules, and standards for data management; the former consolidates several ERP systems, but generally leaves the processes as they are.

Anyone who is concerned with master data management will recognize that sustainable data quality cannot be achieved by only harmonizing various ERP systems; it requires an MDM solution. Consequently, the importance of master data management has changed and continues to chance, not least in view of the requirements of advancing digital transformation.

Ever since data were first collected, stored, and processed, data quality has been a constant problem in the business world. The issue is not new, but data are increasingly becoming the focus of corporate interest in view of the requirements of digital transformation.