A Semantic Approach to Master Data Management to Ensure a Single Source of Truth
Build an AI-Ready data foundation that connects and standardizes mission-critical data across distributed teams and applications for both humans and AI agents. Link together multiple capabilities – master data, reference data, quality, catalog, governance – to enable centralized management of data usage in a flexible environment that scales from teams to the enterprise.

What is the scope of MDM?
Master Data Management’s goal is to create a “system of record” that is consistent, persistent, interoperable, multi-domain, and governed in order to support data and AI analytics and operational use cases.

Why is "static" data so hard to wrangle?
Master data and reference data are typically described as datasets that don’t change often, yet business and IT alike know how disruptive applying changes to foundational data can be. From unstructured content to medical terminologies, from product skus to policies, the real world challenge of creating a single source of truth looms larger than ever.

How to navigate AI + MDM?
Start with a foundational semantic approach that drives agility and consistency to manage change with certainty. Build a system of record powered by an AI-ready data foundation that links shared business language across data silos, leveraging the flexibility of a knowledge graph to infer insights and accelerate change management with speed and confidence.
TopQuadrant’s Master Data Management Solution Creates an AI-ready Source of YOUR Business Truths
Build relevant context
- Create, manage and govern ontologies, taxonomies, business glossaries, and reference data for consistent data interpretation.
- Leverage the flexibility of a knowledge graph to infer insights and accelerate change management.
- Align data quality and accuracy to enable scale
Collaborate across diverse teams
- Link multi-domain data with shared business language
- Collaborate between business and technical stakeholders with visualizations and workflows.
- Integrate seamlessly via our open standards and 300+ connectors to provide maximum flexibility and no vendor-lock in.
Activate for human & AI consumption
- Create semantic models to enable decision making and infer business insight from data relationships.
- Activate–don’t just store–master data, leveraging practical knowledge graph applications and pre-built ontologies.
- Deliver AI guardrails without inhibiting innovation with policy-as-code governance at run time to power compliant, safe, production-grade AI.
Ready to Activate your Master Data?
Related Resources
Blog | What Is Data Integrity? A Comprehensive Guide for Enterprises
Learn what data integrity is, why it matters, and how enterprises can protect it. Explore principles, threats, real-world examples, and best practices for ensuring trustworthy, AI-ready data.
Blog | What Is AI-Ready Data? Why It Matters for Your Business
Resource Hub Search Table of Contents < All Topics Main AI Readiness Blog | What Is AI-Ready Data? Why It Matters for Your Business Print
White Paper | Your Data Catalog Isn’t Ready for AI: Here’s the Real Cost of Staying That Way
Legacy data catalogs weren’t built for AI—and it shows. In this whitepaper, TopQuadrant reveals the hidden metadata gaps holding back AI adoption and how TopBraid EDG delivers the infrastructure autonomous agents need to scale safely and effectively.
