Master data comprises the basic information of a company. It is the core data of business partners such as customers and suppliers, but also finances, products and locations, and forms the basis for all corporate processes and functions.
Master data comprises the basic information of a company. It is the core data of business partners such as customers and suppliers, but also finances, products and locations, and forms the basis for all corporate processes and functions.
Master data must be distinguished from transaction and inventory data. Inventory data describes operational quantity and value structures such as an account balance. The inventory data is changed by the transaction data, e.g. account inflow or outflow. The transaction data only provides meaningful interpretations through the assignment to the master data. Like the trunk of a tree, the master data is consistent and long-lasting.
The implementation of an MDM system is one of the most complex IT tasks
Standardization of master data elements
Complex data integration
Establishment of master data governance and data stewardship
Use of complex technologies (real-time, mobile, cloud orientation, etc.)
Coverage of all business processes from the corporate entity to the individual subsidiaries
We accompany you from the beginning on this challenging journey and offer a wealth of experience from many industries for all data domains. Many useful field-tested utilities will help you build the MDM system and the required organizational structure quickly and efficiently.
synvert saracus supports you in developing a company-wide MDM strategy by working with you to define use cases, plan roadmaps and manage your MDM projects.
We design your MDM platform to integrate seamlessly with your existing systems, and test functionality with PoCs and pilots to ensure you can achieve your goals.
With our experience in building data governance programs, we ensure that your MDM organization is implemented thoughtfully. The definition of roles and responsibilities, standards and best practices, as well as workflows for acceptance and review processes, guarantee the long-term success of the program.
During workshops, we work with you to identify relevant data domains and develop models for master and reference data based on our generic industry and data domain models.
At the beginning of an MDM project, it is important to know what state your data is in. For this purpose, we analyze your data landscape and determine the quality of your master data in order to conceptualize and implement processes for cleansing, enhancement, golden records, etc. The long-term success of the MDM program is monitored by defining and measuring data quality KPIs.
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