EN 
NL What is Master Data Management?
Master Data Management (MDM) is a method for ensuring the organization, management and consistency of an organization's critical data across different systems and databases. The goal of Master Data Management is to create a single, reliable source of truth for all critical information used by an organization, such as customer data, product information and supplier data.
The amount of data and data streams within organizations is increasing exponentially, making it more difficult for organizations to keep an overview. This is where eMagiz comes in. We support and ensure efficient and error-free data distribution across your IT landscape.
Challenges
Master Data Management is the process of administrating and distibuting master data in and over the application landscape. Master data can consist of product information, customers, employees, suppliers or other information sources. Applications that support business process often require master data to succesfully complete a process. By administrating a single truth, you can reduce data inefficiencies and increase your control over the spread of data over your application landscape.
Benefits of master data management
MDM is critical because it helps eliminate inconsistent and duplicate data, leading to better decision-making, more efficient business processes, improved customer satisfaction, and regulatory compliance. By ensuring accurate and consistent master data, organizations can increase operational efficiency and provide a solid foundation for their digital transformation initiatives.
Improved operational efficiency and unambiguos data
Eliminate unneccessary data management activities
Better overview of all available data
Easily produce rapports
How can eMagiz help your organization with master data management?
eMagiz provides the tools to efficiently set up master data management. eMagiz supports users in setting up data flows for the purpose of accessing source systems and distribution to receiving systems. Using the eMagiz platform and the embedded integration lifecycle the transport of data is documented, realized and managed. eMagiz uses its available integration patterns for this purpose: messaging, event streaming & API management.
Especially in a distributed landscape based on microservices, it is important to set up master data management properly. With the help of event streaming functionality, eMagiz is able to transport large amounts of data reliably, where applications themselves are able to determine which data they want to receive. eMagiz also offers delta functionality to filter a large source file on changes and thus only offer changed data to receiving applications.
Frequently asked questions about Master Data Mangement
A MDM-program usually entails:
- Data Governance: Policies and procedures to ensure the quality, consistency, and security of master data.
- Data Ownership: Assignment of responsibilities to individuals or teams for managing data quality and consistency.
- Data Quality Management: processes for cleaning, enriching, and maintaining data to ensure accuracy and reliability.
- Integration Tools: Technologies for integrating data from various sources and systems. Master Data Hub: A central repository where master data is stored, managed and distributed.
Some of the challenges in MDM implementations are:
- Complexity of data integration: Integrating data from different sources and systems can be technically challenging.
- Change in organizational culture: MDM often requires a change in how organizations handle data, this change can lead to resistance if not properly managed.
- Data quality and consistency: Ensuring the quality and constitution of data over time requires continuous effort and monitoring.
- Security and Privacy: Managing the security and privacy of sensitive data in compliance with regulations.
When choosing an MDM solution, consider:
- Specific data needs: Identify your organization's specific data management needs.
- Scalability and flexibility: Choose a solution that can grow and adapt to the changing needs of your organization.
- Integration capability: Ensure that the chosen solution can integrate well with existing systems and data sources.
- Ease of use and support: Consider the usability of the solution and the availability of customer service and technical support.
- Compliance and security: Check whether the solution meet the relevant security standards and privacy regulations.
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