How to Design Successful Master Data Management Integration

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By: Sagar Sharma

How to Design Successful Master Data Management Integration  

Master data management (MDM) is a process that allows the available data to be managed well for business operations. It allows making use of useful tools and processes to make the data meaningful, accurate, and consistent while using it for business purposes. Through the Master Data Management integration post, we help brands to under the value of MDM solutions for their business.

Master data management offers several benefits for the business with the help of essential processes like data storage, data management, and data analysis. It has you make use of the data and information available in a most resourceful and useful manner. MDM Integration can help the business to grow successfully.

What is Master Data Management?

Master data is the essential form of data used for business operations and the business enterprise. The data is useful in providing essential context into business operations and everyday transactions. Master data needed to be managed according to our industrial requirements.

Master Data Management (MDM) can be defined as a unified data service that combines tools, technologies, processes, and activities involved in managing the data for business purposes. The management of master data insurance consistency accuracy and completeness of the data and eliminates duplicity and manual errors. It helps in creating a trustworthy atmosphere.

The data stored while managing a business can be divided into three categories.

Transactional data: The data that is generated during business operations while using various technology tools and applications.

Analytical data: The data available can be analyzed, depending on various calculations and processes.

Master data: The data which is the core of all the information stored and which is the most critical type of data required for various processes and activities in the business.

Master data is considered the heart of the transactions. The transaction in the business will not exist without the use of master data. The data in the form of name amount, date quantity invoice, and other details can be considered secondary or transactional data. It is generated only after the transaction is complete using master data.

Data available from the transactions such as particulars of the customer and customer requirements such as size, quality, and the preferences of the customer can be termed as analytical data and it is generated after analyzing the information available.

Master Data Management (MDM) is a unified data service that depends on advanced tools, useful technologies, and various related sources across the business that enable data to be made available, stored and managed as per the business requirements. MDM offers customer segmentation, optimization of the resources, reduces redundancy and streamlines processes.

Don’t miss visiting What is Master Data Management (MDM)? that introduces MDM in with all its exclusive aspects. Explore the capabilities, challenges, types of master data, benefits, and more about master data management.

Master Data Management Integration – Overview

Master Data Integration can be applied to integrate MDM using technology such as SAP – Business Suit, SAP Net Weaver, and other applications. It can also make use of inbound and outbound data transfer processes by offering service-unable access to MDM data. MDM remote system extractor can also be useful in extracting the customized data as a part of the initial setup of the MDM system.

A generic extractor can be utilized to get customized details from SAP systems. The SAP systems are SAP enterprise resource planning (ERP), supplier relationship management (SRM), and customer relationship management (CRM) and they can send the reference data to the MDM server after the processing.

To get better insights into master data management, visit Master Data Management – An Ultimate Guide.

Capabilities of Master Data Management Integration

1. MDM can import mechanisms to get master data from various sources

The MDM import manager uses an import map that can remain interactive while using it on the MDM import server. The elements of the source schema can be mapped according to the table and fields that belong to the MDM repository which is the target structure.

The users are allowed to load new master data which is available in form of records with the help of MDM and a graphical interface. The server version of the import manager can allow the import automatically. The import server is mainly used to load the data directly from any type of remote system.

2. Integrate data using MDM business content

MDM business content is a part of MDM repository structures, predefined mapping in form of inbound and outbound, validation rules, matching strategies, XML schemas, SAP NetWeaver, and various extractors for SAP systems along with portal content.

SAP ships content in various forms of master data along with SAP application systems.

Master data type and SAP applications as defined below:

  • Material – SAP ERP, SAP R/3
  • Customer – SAP ERP, SAP R/3
  • Vendor – SAP ERP, SAP R/3
  • Employee – SAP ERP, SAP R/3
  • Business Partner – SAP ERP, SAR R/3, SAP SRM, SAP CRM
  • Product – SAP ERP, SAP R/3, SAP SRM, SAP CRM

3. Distribution of master data to various targets using MDM syndicator

The MDM Syndicate can manage harmonized data and can be provided to applications such as XML or applications of various formats. It can export the interface for master data which is a part of the repository system.

Executive man MDM syndication can be executed automatically all manually using the syndication server. MDM ports can be utilized for automatic export. The process of syndication is defined as a part of the target directory which is used for effective communication with other available systems.

4. Integration of data using MDM APIs and Web services

MDM syndicator or MDM import manager are useful services along with various other options that can be utilized for processing the data with the help of other applications directly. It can also make use of programming interfaces in the form of APIs.

The MDM APIs are highly useful in integrating the process of data management. It offers the services such as

5. Administrating the services of MDM servers and model repositories

Master data management, modification, and execution the processes such as MDM Integration and workflow management. MDM also makes use of a web service generator and can generate the services of CRUD (Create, Read, Update, Delete and Search). These web services are part of the MDM repository. The specific repository schema can be managed by these available interfaces.

It can integrate the data with the help of web services with the following advantages.

  • The entire process is easy to apply and simple to use.
  • It does not require any skills of development.
  • The process is business oriented because of semantic data descriptions.
  • It is easier to develop applications and also to maintain data consistency while updating the data at every stage.
  • The process can offer highly useful development of web services (WS) clients.
  • The entire process can be managed using modeling tools in the form of SAP NetWeaver Visual, and Composer.
  • The process can also be useful for BPM tools which are a part of guardian procedures and galaxy.

The Master Data integration process offers various features that can be useful in integrating MDM with many other technologies. SAP techniques are highly useful in managing the integration process and they have also enhanced the capabilities of the master Data integration process at all different stages.

All seven master data integration capabilities are discussed in detail. These capabilities are discussed along with their benefits and advantages while planning & executing the process as a part of master MDM Integration.

Implementing Master Data Management Integration

Data integration is a very essential process in the business which may not be known in detail but which cannot be avoided also. Integrating different systems is a very challenging task and needs to be executed successfully by facing complex cities and issues.

Successfully integrated data can be a part of effective, accurate, and consistent analysis. The integrated data offers several benefits. It works on a specific platform called iPaaS (integration Platform as a Service) and offers the useful features of MDM Integration.

4 Essential Components of Master Data Management Integration

1. Data migration

It is a process of transferring data from one location or one application or one system to another. A simple example of data migration can be transferring data from organizational systems to cloud computing servers. Data migration can be of different types such as

Storage migration

Transferring the data from a pre-existing source into a newly developed source that is modern and has higher capabilities, better performance, and women’s highly efficient while managing the data. It can also offer services such as backup cloning and snapshots.

Cloud migration 

Cloud migration is a data migration service that can be used fully in transferring data along with applications and many other Data Management related tasks. It can transfer data from one cloud infrastructure to another efficiently and effectively.

Application migration 

It is a data migration service that allows data information of the application should be transferred into another environment that is compatible with the application.

2. Enterprise application integration

Enterprise application integration (EAI) is a common approach that is useful in managing interoperability which is useful for the business while operating separate systems. The process can take care of every problem related to the modular architecture of the organization while managing several factors such as


It is a process of managing different types of languages, and formats of data components of operating systems smoothly without any issues.


It is the standard process to carry out data flow management while organizing different systems and applications together. It offers higher consistency to the data.

Higher capabilities

The entire system can be managed by offering stability to the processes, higher scalability, and robustness to the data utilized during the process.

3. Master Data Management

MDM is one of the most effective and highly focused data management processes. It not only manages the system but also offers uniformity and accuracy in the processes. Its office has higher accountability for the data. It also gets engaged in stewardship and semantic consistency while utilizing the shared data.

The use of master Data has become part of every process including suppliers, vendors, and customers. MDM strategy is highly challenging and it is required to overcome the complexities by offering well-defined strategies and policies.

4. Data aggregation

Data aggregation can make use of data sources for data warehousing and data federation.

Data warehousing

It is a technology for the aggregation of structural data collected at one place or using multiple resources. It can manage the data available in the white range.

Data federation

It is an approach to have integrated data. The virtual database can be utilized while sharing information.

3 Tips for Successful Master Data Management Integration

The tips offered are highly useful when using data integration techniques as a part of business operations. To make use of the most efficient vendors providing excellent services for data integration and providing useful solutions while managing every activity.

To implement data integration solutions, you have to understand the business and the overall challenges that you face. Successful MDM Integration will always help a businessman to overcome difficulties while extending the customer base and earning higher prospects.

1. Identify useful data integration providers

You have to find the most useful data integration providers among a list of providers. It is challenging to find the best data integrator who can have specific data management policies for timely deliveries with higher speed.

2. Using the data governance process

The data governors’ process should be applied to the organizational work and it will help in getting higher value to the data. You can also reduce the risk factor by enhancing the data quality which is required for the business processes.

3. Utilizing data security

The MDM Integration process always helps the business to have safety and security while managing the connectivity between the different data locations. Every process will be carried out as per the priority and the increasing volume of the data.

These tips will help you in managing the data integration successfully overcoming the common problems to run the business successfully.

Successful implementation of master Data integration will help in managing the business with ease and efficiency. Successful implementation of the master Data integration process will change the direction of the business and can offer benefits.

You must visit How to Get Started with Master Data Management? To ensure the successful MSM integration and implementation that helps organizations experience consistent success.

Consideration for Master Data Management Implementation Styles

MDM implementation styles can offer a deep understanding of the business and can allow effective processes to become part of the business. Styles will help in reducing the operation of the course of the business at every level and can also reduce the system cost-effectively.

MDM implementation styles when implemented change the course of business by offering advanced techniques and the latest business utilities.

It is required for any business to have the process of master Data integration run smoothly while managing business processes and applications. MDM implementation styles play a very important role while deploying MDM solutions. MDM styles of implementation can architect the entire MDM system and its working. It can manage component-based systems.

MDM implementation style has to be most accurate while choosing for the required business operation. The rightly implemented MDM implementation style can improve the quality of the data utilized and also offers higher consistency to the data. It can overcome the issues, and enhance operational excellence, and decision-making processes easily.

Master Data Management implementation styles are categorized into four different formats such as consolidation style, registry style, coexistence style, and centralized style. Every style is defined with format and purpose.

If you are excited to explore more about MDM implementation, must visit How to Implement Master Data Management? Get insights into the proven MDM implementation practices that are widely accepted.

4 Popular Master Data Management Implementation Styles

Consolidation Style

The consolidation style is to support business intelligence (BI) or to take care of warehousing initiatives. it is one of the most common MDM styles which can be applied to operational systems for the creation of master data.

Registry Style

The registry style is of better quality and is mainly utilized as an index in the process of master data integration process. It can be a part of distributed fashion and can be fragmented over a distributed system.

Coexistence Style

The coexistence style is mainly used for the master data authoring process. A copy of the style can be called a golden copy and it can be maintained in a hub at the central location. The central system of food in terms of a golden copy of master data and can become a part of subscribing systems.

Centralized Style

The centralized MDM style is useful for the master data which is created stored and retrieved from either one or more MDM hubs. It can be a part of a workflow if it can be a transaction use case. It works effectively while implementing data integration.

These four MDM implementation styles help in improving the data quality and eliminating issues and problems. These styles can be useful in linking and centralizing the available customer information and using it for business.

These styles also help in enhancing the data governance capabilities, offering safety and security to every process and also providing stewardship which is a part of master data management.

These MDM implementation styles have offered high-quality customer experience and can create high business opportunities in every area of the business and offer more advantages while managing the business across the world globally.


Master Data integration is a process that has made business operations highly efficient and effective. The data can be managed by using advanced techniques of integration. The MDM Integration of data offers several benefits that can have a huge impact on the business activities and the business operations which include vendors, suppliers, and customers.

Say goodbye to data chaos and embrace the power of PIM/MDM to supercharge your business growth!