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Master data management

A trusted master data foundation

MDM is our heritage at Amplifi.

We are a leading MDM consultancy, recognized by Gartner for 10 consecutive years, and pride ourselves on our deep MDM expertise, having helped over 200 enterprise clients to select, implement or strengthen their master data management platform.

200+

Enterprise MDM implementations

Recognized by Gartner®

Market Guide for MDM External Service Providers

The importance of MDM

Is your master data considered a business-critical capability?

Organizations aren’t short of data. They’re short of trusted, connected data that can be confidently used across the business.

As data ecosystems become more distributed and expectations around analytics and AI rise, the role of MDM has fundamentally evolved.

Modern MDM provides a trusted foundation for how core business domains (customers, products, suppliers, locations and more) are defined, governed and shared across systems. It ensures data is consistent where it needs to be, flexible where it must be, and reliable enough to support business-critical processes, decision-making, operations and emerging technologies.

Consistent where it counts

One trusted definition of each core domain, shared across every system.

Ready for AI

Reliable enough to support analytics, automation and emerging technologies.

Consistent, flexible, reliable

Modern MDM makes data consistent where it needs to be, flexible where it must be, and reliable enough to run the business on.

Business Challenges

Do any of these sound familiar?

Challenges in receiving complete and good quality product data from suppliers. Organizations struggle to receive data from third parties in a timely manner, and suppliers have difficulty mapping data to a specific template or model.

Inability to understand where a product is in its lifecycle. Lack of any control or workflow to monitor end-to-end timings, and no visibility of key quality metrics to set SLAs and KPIs for improvement.

Lack of inheritance of data results in repeated data entry tasks. Data managed in silos for translation and contextualization creates multiple versions, and poor search capabilities lead to duplicate products or products within the same family having different values.

Lack of integrations leads to duplicate data upstream and downstream in the data landscape. Manual workarounds are the norm, and poor metadata management makes alignment and mapping of models a challenge.

Our clients

MDM with Amplifi

Our approach combines specialist MDM expertise with unmatched practical delivery experience.

We tailor every engagement to your organization's data landscape, maturity and goals, whether you're establishing MDM for the first time, accelerating time to value, or fixing what hasn't worked before.

Which leading brands have trusted Amplifi with their MDM?

Guide download

Levelling up with Master Data Management

Level up your Master Data Management strategy with a practical roadmap for MDM success. Learn how to build trusted data, secure stakeholder buy-in, select the right partner and create a scalable foundation for long-term business value.

Our specialisms

Which domains do Amplifi specialize in?

  • 01

    Product data

    Allows organizations to acquire, manage and share product data, obtained from a variety of internal and external systems, with their customers and value chain partners.

  • 02

    Location data

    Centralizes, manages, governs and shares location and site data with business departments, location marketing applications, real estate and facilities management systems and more.

  • 03

    Supplier data

    Enables you to centralize and proactively govern suppliers and supplier catalog onboarding for greater savings and efficiencies.

  • 04

    Customer data

    Links master data, typically in silos, to create a unified and comprehensive view of customers.

  • 05

    Party data

    Enables a governed view of people and organizations across multiple roles (customers, suppliers, employees, partners, citizens or organizations), reducing duplication and providing a consistent understanding of relationships and interactions across a business.

  • 06

    Multi-domain

    An enterprise-wide solution for the centralized management of master data, improving accuracy and completeness of information and extracting incremental value across two or more data domains.

Our approach

MDM with Amplifi

Across the years, we've helped 200+ enterprise clients to select, implement or strengthen their MDM platform, implementing 10+ different MDM technologies.

01

Strategy

We work with our clients to understand your business vision and objectives, allowing us to curate a data strategy that complements your goals. We provide a future-state vision with concise requirements and the frameworks to make the right technology selection for you, alongside the organizational change roadmap required for you to become a data-driven organization.

02

Implementation

Amplifi has become the most trusted name globally for the successful delivery of data-driven solutions. Our delivery methodology is focused on all the key aspects that make data initiatives successful, focusing not just on the technology implementation but the required change initiative and the supporting quality metrics to ensure long-term, sustainable success.

03

Managed services

People see data initiatives as projects, but in fact there is a long-term operation that needs to be run and evolve with your changing business. We provide consultancy and managed services to enhance and troubleshoot your data issues, ensuring the long-term success of your initiative.

Our MDM partners

Expert across multiple MDM platforms

We're partner agnostic. We can help you select the right platform for your business, implement it and support it.

Insights

Further reading

Dos and Don’ts of Evolving MDM for Modern Data Ecosystems Modern Data Ecosystems demand flexibility, not a full reset of your data strategy. From AI integration to data mesh principles, explore practical guidance to adapt MDM and PIM for today’s business needs, ensuring scalability, agility, and robust data governance.

FAQs

You ask, we answer.

The combination of data governance, data management and data platforms that ensures the data used by people, systems and AI is accurate, consistent and reliable at its source.

AI acts on data automatically and at scale. A data quality issue that once affected a single decision can now be replicated thousands of times in seconds, so the cost of weak foundations has risen sharply.

Technology alone doesn’t create trusted data. Without governance, defined ownership and the processes around it, a new platform often becomes another silo. Foundations are about people and process as much as tools.

Not entirely, but in parallel at minimum. Organizations that fund AI without funding the data work underneath it typically stall at pilot stage. A capability assessment shows where the gaps are and which to close first.

With a diagnosis. Our Data Capability Assessment baselines your current state across governance, management and platforms, connects it to your business and AI priorities, and gives you a prioritized roadmap. Request one on the contact form below!

Let's start a conversation about data.

Send us a message and one of our data experts will get back to you as soon as possible.