When the same customer appears three different ways in three systems, your data has a problem.

Master data is the core reference data your business runs on: customers, suppliers, products, cost centres, entities. When it’s inconsistent across systems, every report built on top of it is unreliable. We design and implement the governance and processes that keep it clean.

From data chaos to a single, governed source of truth.

Master data audit and assessment

Mapping your current master data across systems: where it lives, how it’s structured, where duplicates and inconsistencies exist and what the downstream impact on reporting and operations is. Most organisations are surprised by what this reveals.

Governance framework design

Defining the ownership, policies, processes and tooling for managing master data going forward. Who is responsible for each data domain, how changes are controlled, how quality is monitored and how compliance requirements are met.

Data cleansing and consolidation

Cleaning, deduplicating and standardising your existing master data, then loading it into a governed central repository. The practical work of taking messy real-world data and making it reliable enough to build reporting and analytics on.

Ongoing MDM support

Master data management is not a one-time project. As your organisation changes – new systems, acquisitions, product lines, markets – your master data needs ongoing governance. We provide the ongoing support to keep it accurate and consistent.

Regulatory pressure, AI adoption and the pace of business change are all making master data quality more critical.

The stakes are getting higher. NIS2, GDPR, sustainability reporting requirements and accountability standards all place increasing demands on data quality and traceability. At the same time, AI tools are only as useful as the master data they’re trained and run on. Poor master data quality doesn’t just affect reporting; it limits what an organisation can do with any advanced technology.

Getting master data right now is both a risk mitigation exercise and an investment in every future data and AI capability your organisation wants to build.

To lead reliably with data, you first need reliable master data. Let’s sort yours out.

Tell us about your current setup and the data quality challenges you’re experiencing. We’ll assess where the problems are and what fixing them would look like in practice.