Who we are, what we believe in, and the team driving Synapx forward.
The industries we serve and the outcomes we deliver across each sector.
Microsoft credentials and the partners we collaborate with to deliver outcomes.
Join a team of Microsoft specialists building the future of data and AI.
Upcoming webinars, XIAD workshops and executive briefings from our team.
The Blueprint for Growth
The platform got chosen before anyone agreed what it was for. We help you decide what your data estate should do, who owns it and what gets funded first, before a pound is spent on build.
Strategy · Governance · Operating Model
The platform got bought before anyone agreed what it was for. Three teams are building three versions of the same dashboard, and the roadmap changes whenever a vendor visits. That is what a missing data strategy looks like in practice, and the binder-on-a-shelf document, produced over three months and read by nobody, does not fix it. A working strategy is a set of decisions: which platform, which priorities, who owns which data, and what gets funded first. This page is about making those decisions well before anything is built; our platform and engineering pages cover the building. Our framework exists to force each decision into the open and give it an owner.
The starting point is always the business, not the technology. We interview the people who make decisions with data, and the people who quietly do not trust it, then map the pain against a Microsoft-aligned maturity model. Ambitions like "become more data-driven" get translated into a scored backlog of initiatives with costs, dependencies and expected returns attached.
Platform choice sits inside that work, and it is made honestly. As one of roughly 30 partners worldwide holding all three Microsoft Fabric Featured designations, and a practice that also builds production estates on Azure Databricks, we can put Fabric, Databricks, Synapse or your existing SQL estate at the centre of the architecture based on fit rather than allegiance.
And because strategy without governance decays fast, the framework covers the operating model too: ownership and stewardship, a business glossary people actually use, Purview policies, and a data council with the authority to keep standards alive after we step back. The Fidelis Partnership saves over £60,000 a year in licensing through exactly this kind of governance work. That is what a strategy looks like when it lands.
One more thing that sets the engagement apart: the people who write your strategy are the same consultants who build platforms every week. Recommendations come with delivery scars attached, which is why they tend to survive contact with your engineers.
Microsoft credentials behind every engagement
We partner with leadership to define and refine a data strategy that aligns with your business goals, so every data initiative has a measurable outcome and a named owner.
We establish lifecycle management and stewardship support frameworks that ensure your data is secure, compliant, and well-governed throughout its entire lifecycle.
We implement operational reporting standards, business glossaries, and supply chain management practices that create a shared language and consistent understanding of data across your organisation.
We address low tool adoption, departmental data silos, and unclear analytics ROI by identifying root causes and implementing targeted interventions that lift adoption and prove the return.
We assess your current data strategy maturity, refine priorities based on business impact, and execute a phased plan that delivers quick wins while building toward long-term strategic goals.
From kick-off to actionable strategy roadmap
First value-driving initiative delivered inside a quarter
Microsoft certifications behind the recommendations
Aligned to Microsoft Fabric & Purview best practice
Define a 12 to 24 month plan that sequences data platform, governance, analytics and AI investments around the outcomes the executive team cares about.
Replace fragmented Excel, Access and on-prem cubes with a governed Fabric / Power BI estate that finance, ops and product can all trust.
Stand up ownership models, data stewardship, lineage and Purview policies so your data is discoverable, classified and compliant by default.
Translate raw data into AI-ready domains so Copilot, agents and bespoke models have clean, contextual inputs from day one.
Create shared definitions, KPIs and a business glossary so finance, sales and operations stop arguing over whose number is right.
Instrument adoption, value tracking and feedback loops so the business can prove (and grow) the return on its data investments.
Stakeholder workshops to understand business priorities, current data maturity, pain points and quick wins.
Audit data sources, platforms, governance, skills and reporting against a Microsoft-aligned maturity model.
Co-create a target operating model, reference architecture and prioritised roadmap with clear business outcomes.
Mobilise delivery squads, run the first value-driving sprint and embed governance so the strategy keeps moving.
"Our go-to data partner. We recommend them to every one of our clients."
"We work with Synapx as our go-to and trusted partner for anything Power BI, or data in general, so much so we recommend them to all our clients! The team at Synapx work with us in a way that makes it feel like they are part of our business, our 'data team'; projects and on-going support are executed easily and effortlessly."
Chief Technology Officer, Lanware
A typical Synapx Data Strategy engagement runs 4–8 weeks, depending on the size of the organisation and the number of business units involved. By week 6 most clients have an executive-ready roadmap, prioritised use cases and a quantified business case.
No. We are platform-agnostic on data strategy and regularly assess Azure, Fabric, Databricks, Snowflake and hybrid estates. That said, as a Microsoft Solutions Partner for Data & AI we can accelerate delivery significantly when Fabric, Synapse or Azure is the chosen direction.
We pair strategy consultants with hands-on Microsoft engineers from day one. That means the roadmap we deliver has been pressure-tested against what we can actually build – and we can mobilise the same team to execute the first sprint immediately after sign-off.
Typically a senior business sponsor (CFO, COO or CDO), a data / IT lead, and 4–6 representatives from the business areas in scope. We facilitate the workshops and do most of the heavy analysis between sessions, so the time commitment is light.
Yes. Most Synapx data strategy engagements transition straight into a Fabric, Databricks, Power BI or governance build phase delivered by the same Synapx team – no awkward hand-off, no second discovery.
A board-ready data strategy and roadmap, a target architecture aligned to Microsoft best practice, a prioritised backlog of use cases with business cases, a governance and operating model, and a delivery plan for the next 6–12 months with clear owners and KPIs.
Two weeks, structured interviews and a score against a Microsoft-aligned maturity model. You get a prioritised initiative backlog with costs and owners attached, so you decide what to build before anyone builds it.
Book a Maturity Assessment