Data management & transformation consulting

Turning complex data into business value.

Axiomate is an advisory and implementation practice for organisations whose product, customer and operational data has outgrown the systems and habits that manage it. We bring structure, governance and delivery discipline — from strategy through to working solutions.

Founded and led by Bernhard Mueller GAICD — formerly Accenture, and CEO Australia of foryouandyourcustomers.

ERP CRM XLSX PDF WMS SKU “tribal knowledge” GOVERNED LAYER commerce catalogue analytics
Why organisations call Axiomate

Most organisations don't have a technology problem. They have a structure problem.

Product, customer and operational data sits across ERP, CRM, commerce platforms, legacy databases and hundreds of spreadsheets. The rules that hold it all together live in people's heads. Every system carries a slightly different version of the truth, and every team has learned to work around it.

Transformation programs inherit this quietly. When data quality, governance, business process and systems architecture are treated as separate workstreams — or as someone else's job — programs deliver software, not capability. Data gets migrated, but not improved and certainly not trusted. Platforms go live, but the workarounds survive.

Axiomate works at exactly this intersection. We help organisations make their data trusted, reusable and operationally embedded — so the systems and decisions built on it actually hold.

Advise

Data strategy, operating models, governance and vendor decisions, framed in terms executives can act on.

Design

Data models, architecture, quality rules and business processes that make good data the path of least resistance.

Deliver

Hands-on implementation leadership: migration, integration, testing, vendor management and go-live.

Services

Six ways we help.

Engagements range from short, sharp advisory pieces to multi-year program leadership. Most combine several of the areas below — because in practice, the problems do too.

Data Strategy & Operating Model

Clarity on what your data needs to do for the business, and how it should be owned, governed and resourced to do it.

Typical work

current-state diagnosis · data strategy and roadmap · target operating model · ownership and decision rights · business case development

What you get

a data agenda the executive team understands, funds and can hold people accountable to.

Product Information & Master Data Management

Selection, design and implementation of PIM and master data platforms for organisations with complex product, customer or supplier data — including deep, practical experience with leading platforms such as Stibo STEP or Akeneo PIM.

Typical work

vendor evaluation and selection · data model and taxonomy design · attribute and enrichment workflow design · completeness and validation rules · phased rollout planning

What you get

one governed source of product truth, feeding ERP, CRM, eCommerce, catalogues and channels, thus improving your time-to-market and reducing both operational inefficiencies and customer friction.

Data Governance & Quality by Design

Governance people actually use: roles, decision rights, quality gates and lifecycle processes embedded in everyday work — not a framework document on a shelf.

Typical work

governance and stewardship design · controlled vocabularies and reference data · validation rules and quality scorecards · governance forums that earn their place in the calendar

What you get

fewer defects created at the source, and quality that holds after the consultants leave.

Data Migration & Quality Assurance

Structured, evidence-based migration: profiling, cleansing, transformation, validation and reconciliation — at a scale and rigour that spreadsheets alone can't manage safely.

Typical work

migration strategy and sequencing · cleansing and enrichment "factory" design · mapping and transformation rules · validation and reconciliation reporting · automation of complex migrations · cutover planning

What you get

cleansed and migrated data the business trusts on day one. With the evidence to prove it.

Integration & Architecture Advisory

Pragmatic guidance on how data should flow between ERP, PIM, CRM, commerce and analytics platforms, and how to keep those flows reliable in production.

Typical work

integration pattern and interface design review · resilience, error handling and observability · API strategy · environment and end-to-end testing approaches

What you get

integrations that are dependable, observable and supportable.

Transformation Delivery & Vendor Governance

Senior delivery leadership and commercial governance for complex programs, including the difficult conversations with technology vendors and system integrators.

Typical work

program and release leadership · steering committee design and facilitation · delivery assurance and go-live readiness · scope, variation and commercial governance · issue and risk resolution

What you get

a program that holds its shape — commercially, technically and politically — and delivers measurable outcomes.

How we work

Senior judgement, applied hands-on.

Axiomate is deliberately boutique. The person you engage is the person who does the work — in the boardroom, in the workshop, and in the data.

01

Diagnose before designing.

We start by understanding how things actually work — not how the org chart says they should.

02

Work across business and technology.

Data problems never respect that boundary, so neither do we.

03

Make governance practical.

Ownership, decision rights and quality gates that fit how people really work.

04

Design for adoption, not artefacts.

A deliverable nobody uses is a cost, not an outcome.

05

Advise — and stay for delivery.

Recommendations are easy. We stay involved until they work in production.

06

Create momentum where things are stuck.

Ambiguous, stalled or politically tangled programs are familiar territory.

Principal consultant

Led by Bernhard Mueller.

Bernhard Mueller, founder of Axiomate

Bernhard Mueller founded Axiomate after a career spent at the junction of business, data and technology. He spent 13 years with Accenture, delivering complex transformation and systems programs for major organisations, and later led the Australian business of foryouandyourcustomers — a European digital and data consultancy — as CEO. He is a Graduate of the Australian Institute of Company Directors (GAICD).

His work spans data strategy, product information and master data management, governance design, integration architecture and delivery leadership — usually on programs where the business problem, the data and the systems are tangled together.

Clients tend to engage Bernhard when a data or transformation problem is too important to hand to a junior team. He works directly with executives, business subject-matter experts, technology teams and vendors, and stays hands-on from the first workshop through to go-live.

GAICD · Technology Consultant @ Accenture · CEO Australia @ foryouandyourcustomers · Based in Melbourne

Experience

The kind of problems we solve.

Representative engagements, described without attributing details to named clients. References are available on request.

Bernhard has held lead roles on data, PIM and transformation programs for leading manufacturers, wholesalers, and retailers such as Toyota, Officeworks, Blackwoods, Bosch, Bunzl, Sutton Tools and others, in Australia, Asia and Europe — through Axiomate and in previous leadership positions.

Case 1

Enterprise product information transformation

Context
A complex B2B manufacturer and distributor with hundreds of thousands of products, millions of attribute values, and product data spread across ERP, CRM, websites, spreadsheets, and channel-specific repositories.
Role
End-to-end leadership of a PIM implementation — data model and taxonomy design, governance and quality-by-design rules, enrichment workflows, integration with ERP, CRM and B2B commerce, system integrator management, executive steering and release delivery.
Result
A governed, central product information platform live in production, feeding downstream systems with curated data — and a business that maintains it through defined ownership and quality gates.
Case 2

PIM strategy, guidance and recovery programs

Context
Major Australian and international retailers, distributors and manufacturers at very different points of PIM maturity — selecting a platform, partway through a difficult implementation, or recovering a program that had stalled.
Role
Led PIM strategy, vendor guidance, implementation and recovery programs — spanning platform decisions, data model and governance design, delivery reset, and realignment of business and technology stakeholders.
Result
Programs put back on a defensible footing: clear scope, realistic plans, governed data models, and solutions that reached production.
Case 3

Legacy platform decommission & MDM consolidation

Context
The Australian arm of a large global manufacturer ran a legacy, in-house product specification platform — built in the 2000s on now-unsupported technology — as the source of specification and pricing data for its websites, inventory and partner channels. Alongside an SAP S/4HANA transformation, the business wanted to retire it and deliver the same capability from its governed Product MDM.
Role
Axiomate led the solution design to decommission the platform and rebuild its capability in the enterprise Product MDM (Stibo STEP): target data model, migration approach, redesigned product workflows, replacement integrations (including moving pricing to SAP), governance and approvals, and change management.
Result
An endorsed design and migration approach giving the business a resilient path to retire the legacy platform and consolidate into a single governed source of product truth — with a business case covering reduced manual effort, application consolidation, and lower support and security risk.

Data governance and operating model uplift

Design and establishment of a pragmatic data operating model — ownership and stewardship roles, decision rights, lifecycle processes and quality gates — giving data decisions a clear home and catching quality issues at the source.

Migration and data quality factory

A repeatable cleansing and migration approach — profiling, transformation rules, controlled vocabularies, validation and reconciliation — producing migrated data the business could trust on day one, and a reusable method for every category that followed.

Contact

Start a conversation.

If you're working through a complex data, product information or transformation challenge, or a program that has lost momentum, a conversation is a good place to start.

No pitch and no obligation: a structured discussion about the problem, what good looks like, and practical next steps.