ProMDM

Is your master data consistent and reliable? Does your company have a central system for master data management? Is your data accessible and integrated for all relevant business processes? Are your master data processes documented and standardized? Can you answer all questions with YES? Master Data Management (MDM) can help you achieve these goals. 

Master Data Management (MDM) is a comprehensive methodology for defining and managing an organization's critical data to ensure a unified, consistent and accurate data source. MDM aims to improve the quality, accuracy and consistency of master data, thereby optimizing efficiency and decision making in an organization. MDM is a continuous process that involves constant monitoring and maintenance of data to meet changing business needs.

• Ensuring data quality, consistency and integrity: MDM aims to ensure the quality, consistency and integrity of master data in order to create a reliable basis for business processes.
• Central management and improvement of data quality: The main objectives of MDM are the central management of master data, the improvement of data quality and the support of business processes.
• Efficient management of master data in the SAP environment: Efficient management of master data is crucial for the smooth running of business processes, especially in an SAP environment. Our solution side offers an “outside-in” approach, where data is processed outside of SAP and then seamlessly integrated into processes. Master data, especially business partner data, is the foundation on which successful processes are built.

• Data modeling and data integration: An MDM system consists of several components, including data modeling, data integration, data quality management and data cleansing. The data model defines the structure and relationships of the master data, while data integration ensures that data from different sources is merged and synchronized.
• Data quality management and data cleansing: Data quality management includes processes for monitoring, measuring and improving data quality, while data cleansing identifies and corrects inaccurate or outdated data.

• Pre-entry of master data: ProNovia's new tool, ProRequest, enables the pre-entry of master data, which further increases efficiency. We also offer task-based mass maintenance of various master data, including SAP Business Partner, material master data, document master data, parts list data and classification data.
• Quality assurance and integration: Master Data Governance not only ensures the quality of master data, but also enables smooth integration with other systems, such as Product Lifecycle Management. By focusing on the quality of product data, we ensure increased efficiency.

Master data management is an indispensable discipline for companies that want to increase their efficiency and ensure long-term success. By systematically managing and maintaining master data, organizations can improve their data quality and optimize their business processes. With the right tools, processes and strategies, companies can take full advantage of MDM and effectively achieve their business goals.

• Consistent and accurate information: By centrally managing master data, companies can ensure consistent and accurate information about customers, products, suppliers and other business objects, improving the efficiency and transparency of their processes.
• Linking business processes to accurate master data: Linking cleanly defined business processes to accurate master data is critical to a company's success. Our software solution consists of several modules, including user-friendly maintenance of master data via an intuitive user interface and role-based master data maintenance.

• Design and lifecycle-oriented processes: Our master data process not only includes the design of processes, but is also oriented towards the BPM life cycle. Through automation and rule-based maintenance, we ensure high data quality, which minimizes interruptions in the processes and improves their throughput time.
• Long-term data quality through defined processes: Long-term data quality is ensured through defined processes, automation, checks and improved usability.

• Master data management as an essential component of BPM: Master data management (MDM) is an essential component of business process management (BPM), which aims to ensure the quality and consistency of master data and maximize its benefits for business processes.
• Increasing efficiency and minimizing risk through central management: By managing master data centrally, companies can increase their efficiency, improve data quality and minimize risks. With a well-structured MDM system, companies can create a solid foundation for their data management and strengthen their competitiveness.