Multi-Domain MDM: Connecting the Dots Across Key Business Entities

Take a look at any modern business, and you’re sure to see data scattered across disparate, disconnected systems. Customer records, supplier information, product details, and location data often live in separate systems, creating silos that make it difficult—if not impossible—to get a clear picture of the business.

While managing each dataset in isolation can lead to silos, inconsistencies, and missed opportunities, multi-domain master data management (MDM) brings these disparate sources together, creating a single, trusted view of key business entities across the organization. And by connecting related data, businesses can improve data quality, gain new insights, make smarter decisions, and improve value to the business. 

What is Multi-Domain MDM?

Multi-domain MDM unifies multiple types of business-critical data across systems and silos to provide a single, trusted source of truth across the organization. Multi-domain MDM manages several domains which often include:

• Customers
• Locations
• Suppliers
• Products
• Invoices
• Employees

In addition, multi-domain MDM can expand beyond these common entities to include more discrete data such as parts, equipment, clinical studies, reports, animals, you name it! 

Connecting Multiple Domains Within an Enterprise Knowledge Graph

An enterprise knowledge graph is a connected, contextualized view of an organization’s data that highlights the relationships among and between key business entities. For example, using enterprise knowledge graphs, businesses can connect B2B contacts to accounts, consumers to households, clinicians to organizations, and suppliers to invoices. With a clear view of these connections, businesses can easily see how entities influence each other, which often surfaces valuable, actionable insights. 

For example, an enterprise knowledge graph can reveal customers who are also suppliers or subsidiaries of suppliers, contacts who are also employees of the company, or healthcare providers who are part of a practice that is affiliated with a healthcare system. These connections reveal deeper relationships within the data, enabling businesses to answer complex questions about the entities that drive their business forward. ‍

A Connected Platform to Master Multiple Domains

Tamr’s AI-native MDM platform and prebuilt data products make it easy to master data across multiple domains. Our multi-domain data products unify siloed data by enabling organizations to deliver a complete and connected view of any business entity. Using prebuilt templates, pre-trained models, and patented matching, organizations can use Tamr’s data products to quickly and easily expand into new domains as well. 

Tamr currently offers data products for the following key business entities:

• Companies
• Consumers/students
• Contacts/employees 
• Healthcare providers
• Healthcare organizations 
• Suppliers
• Products
• Locations
• Other (customer-defined entities)‍

Connected Views Lead to Real Results

Across industries, organizations that adopt Tamr’s AI-native MDM and use it for multi-domain data mastering are achieving tangible outcomes including improved efficiency, higher data quality, and more targeted sales and marketing. 

• By unifying clinical and hospital data, a leading healthcare staffing provider significantly improved the speed at which they placed providers in open roles.
• Connecting customer and contact records resulted in a global life sciences company realizing a 31% increase in overall data quality.
• Unifying its B2B and B2C accounts enabled a global office-supplies retailer to improve marketing precision and boost sales efficiency.

‍Connect the Dots with AI-Native MDM

Tamr’s enterprise master data management solution provides the proven, AI-native platform and prebuilt data products needed to master data across domains. And with our API-first architecture and connectors to thousands of commonly used enterprise systems, Tamr can ensure relationship-rich entity records are synced across every downstream system in real time to improve workflows, enhance reporting, and support AI initiatives.