Master Data Governance

Master data governance as legislation is a central component of a successful data strategy. We help organizations develop and implement effective governance structures, policies and processes to ensure data quality and meet compliance requirements. Our consulting services include defining responsibilities, designing workflows, setting up approval mechanisms and establishing data quality rules.

Master data management as an executive forms the backbone of efficient data management. We support companies in developing a holistic master data strategy and in implementing solutions that enable central data storage, integration and harmonization. Our team of experts works closely with clients to understand their specific requirements and provide customized solutions. In doing so, we consider various aspects such as data modeling, data migration concepts, data quality management and data integration.

The quality of master data is crucial to the success of a company. That's why Master Data Quality acts as the link between governance and management in a holistic master data strategy. We help companies identify data quality issues, develop data cleansing strategies and implement processes to continuously improve data quality. Our services include data profiling, data cleansing, data standardization and the introduction of data quality metrics to ensure that master data meets the highest quality standards.

The efficient management of complex product variants is a challenge for many companies. We offer support in the implementation and use of variant configuration solutions to overcome these challenges. By defining and implementing variant configuration models, companies can efficiently manage their product variants, create customized products and shorten time-to-market. Our experts will help you implement customized solutions to seamlessly integrate variant configuration into your existing business processes.

The integration of sustainability aspects into master data creates a solid foundation for effective sustainability management. By capturing and managing this data, companies can better understand the entire lifecycle of their products, from the sourcing of raw materials to production and disposal. By capturing, analyzing and managing product-related sustainability information, such as CO2 emissions, material composition and origin data, companies can better understand their environmental impact and take action to reduce it.

When the focus is on data integrity, automated workflows play a central role in process reliability: so that everyone always knows exactly who, when, where and why master data is being maintained.

Output management is also a specific case here. This is because everyone should receive the information and documents that the process step requires - but nothing beyond that.

Our "Master Data X" concept combines the sub-disciplines of Master Data Governance (MDG), Master Data Quality (MDQ) and Master Data Management (MDM). These disciplines correspond to the known powers - legislative, judicial and executive. Only in harmony can they enable a holistic (master) data strategy.

Our variant configuration consulting is essential for a comprehensive master data strategy. We consider both Advanced Variant Configuration (AVC) and LO-VC to ensure that your product variants can be optimally configured and managed. Variant configuration is crucial to meet the diverse requirements of the market and to develop customer-specific products efficiently.

Our concept for product-related sustainability focuses on the CO2 footprint, plastic tax and product compliance as part of an environmentally conscious and legally compliant product strategy. We therefore focus on the aspects of ecological and economic sustainability.