Master Data Management – English

Efficient Master Data Management with eMagiz Enterprise iPaaS

With eMagiz Enterprise iPaaS, you can shape your Master Data Management and realize efficient and errorless data distribution over your 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. 

How can eMagiz help?

eMagiz offers the tools to efficiently shape Master Data Management. eMagiz supports users in realizing data flows between source and target systems. Using the eMagiz platform and the integration lifecycle, integrations are documenten, realized, deployed and managed. The available integration patterns: Messaging, Data Pipelines, Event Streaming and API Management can all be employed to shape data distribution. Master Data distribution is especially important when considering distributed application landscapes. Using eMagiz Data Pipelines and eMagiz Event Streaming, high volumes of data can be efficiently distributed, whereby subscribers themselves decide which data they want to receive. eMagiz also offers a delta feature in which a large source file can be filtered for changes and new records. eMagiz offers your organization all the tools that are required to shape efficient Master Data Management. 

Advantages

Unambiguous and efficient master data management by eMagiz offers your organization the following advantages: 

  • Improved operational efficiency and unambiguous data 
  • Eliminate unnecessary data management activities 
  • Better overview over available data

Experience

eMagiz has more than 12 years of experience in shaping data flows for Master Data Management and the platform has been developed on this experience. Read our Huuskes reference case, or more about our technology in Messaging, Event Streaming or about Digital Transformation