Data
Microsoft Data Specialists
Imagine every decision powered by accurate, accessible data and insights your entire organisation can trust. Our data specialists transform fragmented systems into a unified, intelligent data ecosystem, enhanced with AI and machine learning for smarter decision-making.
Our Accreditations
Common Challenges We Solve
Data Scattered Across Multiple Systems
Critical information trapped in disconnected tools, spreadsheets, and databases, making it impossible to see the complete picture.
Hours Wasted on Manual Reporting
Teams spending valuable time consolidating data instead of analysing it, only to produce reports that are outdated before they're shared.
Conflicting Numbers and Lost Trust
Different departments reporting different figures because they're working from different sources, undermining confidence in decision-making.
Always Reacting, Never Anticipating
Relying on historical reports instead of real-time insights and predictive analytics, keeping you one step behind.
Growth Outpacing Your Systems
Manual processes and legacy tools that can't scale, creating bottlenecks that slow your entire organisation.
Our Strategic Data Pillars
We move organisations from ad-hoc data collection to strategic data strategy execution, aligning business priorities with modern data capabilities.
- Data strategy development & consulting services
- Data governance and compliance, lifecycle management, and stewardship support
- Operational reporting, glossary & supply chain management
- Addressing low tool adoption, departmental data silos, and unclear analytics ROI
- Data strategy assessment, refinement, and execution
As a Microsoft Cloud Partner, we design and deploy modern data platforms that unify your data, reduce silos, and enable cloud-based analytics at scale.
- Microsoft Fabric & Azure Data Factory implementation
- Databricks & Lakehouse solutions for data engineering and ML workloads
- Data warehousing, data lakes, and multicloud data architecture
- Real-time streaming, transaction processing, and customer insights analytics
- Fraud prevention, AML compliance, risk calculations, and regulatory reporting
Our data engineering services ensure pipelines are accurate, secure, and timely. We deliver modern data pipelines built for high-volume batch processing, real-time streaming, and ML-ready workloads.
- Data ingestion, collection, transformation, and storage
- Data observability, DataOps, and predictive maintenance
- Data quality testing, pipeline monitoring, and performance optimisation
- Cloud data architecture and ETL/ELT pipelines
- Data engineering development, tools, and technologies
We apply machine learning and AI to create measurable business impact. Using explainable models, we enable leadership to act confidently on data-driven insights.
- Predictive analytics, forecasting, and scenario planning
- Process optimisation and operational efficiency modelling
- Bespoke AI solutions with Azure OpenAI & Copilot integration
- Semantic indexing, patent analysis, market trend identification
- Analytics-driven decision support and accelerated idea-to-product conversion
Our DaaS model provides flexible access to senior data architects, engineers, and analysts without permanent hires, enabling scalable delivery of insights and analytics.
- Data layer realisation, workload isolation, and data locality
- AI-powered data cleansing and multi-vendor enrichment
- Real-time data orchestration and management layer solutions
- Custom enrichment, modelling, and scoring services
- Seamless adoption of Data-as-a-Service and ongoing strategic advisory
We use pre-built frameworks, cloud-based solutions, and analytics accelerators to jumpstart projects, reducing delivery risk and accelerating time-to-value.
- Rapid deployment patterns for Microsoft Fabric and Azure
- Governance frameworks for secure, compliant, and scalable analytics
- Component libraries, Power BI templates, and GenAI Studio integration
- Customisable insights, operational scorecards, and enhanced agility
- Lower total cost of ownership through quick onboarding and reusable assets
Our Data Approach
Accurate. Accessible. Aligned.
Data Readiness Assessments
We evaluate your current data infrastructure, quality, and governance capabilities to identify gaps and opportunities.
Data Discovery Interviews
Through conversations with key stakeholders, we uncover data sources, usage patterns, and pain points across your organisation.
Data Leadership Workshop
We bring leadership together to define data strategy, prioritise initiatives, and align on high-impact use cases.
Deep Dive Discovery
Our team performs a detailed analysis of data quality, architecture, and pipelines to uncover insights and improvement areas.
Data Implementation
We design and deploy data solutions, pipelines, and integrations that streamline processes and enhance accessibility.
Data Strategy Development
We create a comprehensive roadmap, governance framework, and key performance metrics to guide your data-driven initiatives.
Data Council Development
We establish a governance council to oversee data initiatives, drive accountability, and ensure strategic alignment.
Data Training and Enablement
We equip your teams with the skills, training, and best practices needed to maximise the value of your data.
XIAD Workshops
Synapx is proud to host Microsoft Fabric Analyst in a Day workshops on behalf of Microsoft, helping organisations accelerate their analytics and Data & AI capabilities using the Microsoft Fabric platform.
Data Case Studies
Explore Synapx blogs and thought leadership to learn about data strategy, modern data platforms, data engineering, DaaS, and analytics acceleration.
Coming soon
Expert insights and thought leadership content will be published here.
Coming soon
Expert insights and thought leadership content will be published here.
Coming soon
Expert insights and thought leadership content will be published here.
Data Solutions — FAQ
Common questions about how Synapx delivers data platforms, Microsoft Fabric, and data engineering.
What Microsoft data services does Synapx deliver?
We deliver the full Microsoft data stack: Microsoft Fabric (Lakehouse, Warehouse, Real-Time Intelligence, Data Activator, Fabric Databases), Azure Databricks, Azure Synapse, Azure SQL, Power BI, and Purview for governance. We also modernise existing estates on SQL Server, SSIS, and SSAS.
Is Synapx a Microsoft Fabric partner?
Yes. Synapx is a Fabric Featured Partner, Fabric Databases Featured Partner, and Real-Time Intelligence Featured Partner — one of roughly 30 partners globally holding all three Fabric designations. We also hold the Microsoft Solutions Partner designation for Data & AI (Azure).
How long does a typical data platform build take?
Our accelerators deliver a working Fabric or Databricks foundation in 4–8 weeks. Full enterprise data platforms (multi-source, governed, with Power BI and AI layered on) typically run 3–6 months using our agile pod model.
Can Synapx help us migrate from legacy data warehouses to Microsoft Fabric?
Yes. We run dedicated migration engagements from SQL Server, Teradata, Snowflake, Redshift, and on-prem warehouses into Fabric. We assess readiness, map workloads, re-platform ETL, and cut over with minimal business disruption.
Do you offer ongoing data platform support?
Yes. Our Synapx-as-a-Service model provides ongoing platform engineering, performance tuning, cost optimisation, and roadmap development for Fabric, Databricks, and Azure data estates.
Speak to a Data Specialist
Transform your data into a strategic asset. Let our experts help you build a unified, intelligent data ecosystem.
Speak to a Specialist