How we work
An enterprise Data, BI & Analytics partner — built by practitioners
Metryx exists to help organisations make sharper operational decisions. We build the reporting platforms and dashboards the people running the business actually use.
Our approach
Senior practitioners, not consultancy theatre
We pair deep platform expertise — Power BI, Microsoft Fabric and modern data engineering — with the operational understanding that comes from years inside finance, ops and analytics functions. The result is technology that fits how the business actually runs.
Every engagement is delivered by a senior team. No layers, no handoffs, no surprises. The people you meet on day one are the people delivering the work on day ninety.
We work in tight iterations, with continuous business engagement and clear, measurable outcomes at every step. When the work is done, your team owns it.
Principles
What we stand for
Operations first
We build systems that move the business — not slideware that decorates the boardroom.
Senior delivery, always
Every engagement is led and delivered by 10+ year practitioners. No pyramid, no surprise handoffs.
Vendor-honest expertise
Deep Microsoft Fabric and Power BI credibility — and the integrity to tell you when something else fits.
Outcomes over outputs
Every recommendation tied to a measurable business case: close cycle, margin, manual effort removed.
Long-term platforms
We build estates that survive the next reorg — and leave your team stronger than we found it.
The Firm in Numbers
Built for the work we do
10+ yrs
Average consultant experience
50+
Enterprise engagements delivered
100%
Senior-led delivery
£300M+
Client value influenced
Process of Work
How a Metryx engagement actually runs
A repeatable delivery method tuned for enterprise data, BI and analytics work — calibrated against decades of engagements across regulated, operationally complex businesses.
Discover
Stakeholder interviews, system inventory, data quality baseline and a clear articulation of the business outcomes we are accountable for.
Blueprint
Reference architecture, semantic model design, governance model and a phased delivery plan with measurable milestones.
Build
Tight two-week iterations, working software every sprint, continuous business review and full CI/CD from day one.
Harden
Performance, security and governance hardening, UAT with business users and a controlled production cutover.
Run & Evolve
Managed support, adoption tracking, quarterly platform reviews and a continuous improvement backlog owned jointly with your team.
Onboarding Blueprint
The first 90 days
A structured onboarding playbook calibrated to land cleanly inside enterprise IT, security and operating environments. By day ninety you have a working platform increment in production, a governed semantic model, an agreed roadmap and a team that is fluent in the way the platform will be run.
Days 1–10 · Mobilise
Sponsor alignment, RACI, security and procurement clearances, environment provisioning and joint delivery cadence agreed.
Days 11–30 · Discover
Data source inventory, quality baseline, KPI definitions, stakeholder interviews and a prioritised value map signed off by the business.
Days 31–55 · Blueprint
Target architecture, semantic model design, governance model, security pattern and a phased delivery plan with measurable outcomes.
Days 56–80 · Build
First production-grade increment shipped — certified dataset, executive report, operational dashboard — running in your tenant, owned by your team.
Days 81–90 · Operationalise
Run-book handover, support model live, training delivered, adoption tracking instrumented and the next-quarter roadmap approved.
Risk Management
Risk handled in the open
Analytics and BI programmes carry real delivery, regulatory and operational risk. We manage it explicitly — a live risk register, mitigations owned by name, dependency tracking and a steering rhythm that surfaces issues early.
Our practitioners work inside ISO 27001, ISO 9001 and GDPR control environments. Every production change is gated, peer reviewed and reversible.
- Delivery & dependency risk
- Data quality & lineage risk
- Security, privacy & regulatory risk
- Change management & adoption risk
- Platform cost & capacity risk
Training & Engagement
We leave your team stronger than we found it
Every engagement includes structured enablement for the engineers, analysts and business audiences who will live with the platform after we step back. The goal is durable capability, not consultancy dependency.
Engineer coaching
Paired delivery, code review and reference patterns across Fabric, Power BI and DataOps.
Analyst academy
Modelling, DAX, visual design and certified dataset stewardship for self-service analysts.
Business adoption
Role-based onboarding, in-product guidance and an internal champion network.
Leadership rhythm
Quarterly executive briefings on platform health, adoption and the next wave of value.
Discovery Engagement
Speak to a senior advisor about your data, BI and analytics agenda.
A 30-minute conversation with one of our principals — not a sales call. An honest read on where data and analytics can move the needle, and what a credible delivery plan would look like.