Master Data Management
Process efficiency with master data management
Dynamic markets and rapidly changing environmental conditions give modern companies the opportunity to achieve competitive advantages. At the same time, however, companies are under constantly increasing pressure, trying to adapt to altered trading conditions and a highly level of market dynamism. This is why business processes need to be harmonized and optimized, in order to meet economic conditions and legal requirements. The basis for efficient business processes is the permanent availability of high quality master data. The key to this is a holistic master data management.
But what exactly is master data management? First of all, master data are a critical resource for any company – nevertheless, companies rarely succeed in gaining a comprehensive overview of them. This is because the data are spread across several systems in different company departments. Master data management helps to prepare these data qualitatively, and make strategic use of them for the company’s benefit. A strategic concept for master data management defines stable master data governance, a data model, the appropriate IT systems, and the corresponding processes for compiling, maintaining and assuring the quality of master data.
The special added value from master data management
High quality master data increase the efficiency and flexibility of business processes, guaranteeing the smooth flow of global business processes through real-time availability and compliance with globally valid standards. Master data management is indispensable in order to be able to meet compliance requirements and carry out meaningful Business Intelligence evaluations.
Our expertise in the field of master data management
Camelot has developed a comprehensive approach to master data management, which defines the necessary processes, organization, data models and technologies via a long-term master data management strategy. We provide you with individual support in all phases of your master data project, from strategy and execution right through to technical implementation.


