The Blueprint for Growth
Data Strategy Framework
We move organisations from ad-hoc data collection to strategic data strategy execution, aligning business priorities with modern data capabilities.
Microsoft credentials behind every engagement
Microsoft Fabric Featured Partner 
Data & AI on Azure 
Fabric Databases 
Fabric Analyst in a Day Key Capabilities
Data Strategy Development & Consulting Services
We partner with leadership to define and refine a data strategy that aligns with your business goals, ensuring every data initiative drives measurable value and competitive advantage.
Data Governance and Compliance
We establish lifecycle management and stewardship support frameworks that ensure your data is secure, compliant, and well-governed throughout its entire lifecycle.
Operational Reporting & Glossary Management
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.
Adoption & ROI Improvement
We address low tool adoption, departmental data silos, and unclear analytics ROI by identifying root causes and implementing targeted interventions that drive engagement and measurable returns.
Data Strategy Assessment & Execution
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
Faster decision making with a single source of truth
Average reduction in duplicated reporting effort
Aligned to Microsoft Fabric & Purview best practice
Where Data Strategy Framework drives value
Building a Data & AI roadmap
Define a 12–24 month plan that sequences data platform, governance, analytics and AI investments around the outcomes the executive team cares about.
Migrating off legacy reporting
Replace fragmented Excel, Access and on-prem cubes with a governed Fabric / Power BI estate that finance, ops and product can all trust.
Establishing data governance
Stand up ownership models, data stewardship, lineage and Purview policies so your data is discoverable, classified and compliant by default.
Unlocking AI use cases
Translate raw data into AI-ready domains so Copilot, agents and bespoke models have clean, contextual inputs from day one.
Aligning siloed business units
Create shared definitions, KPIs and a business glossary so finance, sales and operations stop arguing over whose number is right.
Quantifying analytics ROI
Instrument adoption, value tracking and feedback loops so the business can prove (and grow) the return on its data investments.
A proven delivery approach
- 01 Step
Discover
Stakeholder workshops to understand business priorities, current data maturity, pain points and quick wins.
- 02 Step
Assess
Audit data sources, platforms, governance, skills and reporting against a Microsoft-aligned maturity model.
- 03 Step
Design
Co-create a target operating model, reference architecture and prioritised roadmap with clear business outcomes.
- 04 Step
Execute
Mobilise delivery squads, run the first value-driving sprint and embed governance so the strategy keeps moving.
Frequently asked questions
How long does a data strategy engagement take?
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.
Do we need Microsoft Fabric to work with Synapx?
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.
How is your data strategy work different from a traditional consultancy?
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.
Who from our side needs to be involved?
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.
Can you also implement the strategy you design?
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.
What outcomes should we expect?
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.
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