Data Modernization and Analytics
Turn scattered data into a trusted platform for reporting, analytics and AI, with quality and governance built in from the first pipeline.
Decisions are only as good as the data behind them
- Reports disagree because data lives in disconnected systems
- Legacy warehouses are costly and slow to change
- Quality issues erode trust in dashboards
- AI ambitions stall without a governed data foundation
Capabilities
Data strategy and assessment
A clear view of sources, consumers, quality and the platform that fits your needs.
Data migration
Moving legacy databases and warehouses to modern cloud platforms with full reconciliation.
Data engineering and pipelines
Batch and streaming ingestion, transformation and orchestration that are monitored and documented.
Modern data platforms
Lakehouse and warehouse platforms on Azure data services and Databricks.
Analytics and visualisation
Power BI dashboards, KPI frameworks and self service reporting for business teams.
Governance and quality
Cataloguing, lineage, access control and automated data quality rules.
Explore Data Modernization and Analytics in depth
Dedicated pages for each specialist service, with capabilities, outcomes and FAQs.
Unify data engineering, warehousing and analytics on Microsoft Fabric and Azure data services with governance from the start.
Deliver dashboards and self service analytics that leaders trust, built on sound data models and clear KPIs.
Design and run scalable lakehouse platforms on Databricks for engineering, analytics and machine learning.
A proven delivery framework
Delivery you can rely on
Every engagement is run by certified people, measured against agreed service levels and governed through a clear communication model.
Consultants and engineers certified across Microsoft, AWS, VMware, ITIL and PMI.
Structured transition with knowledge transfer, so teams are productive within weeks.
Project, managed service, dedicated team or sprint models to fit your needs.
Response, resolution and availability targets agreed and reported monthly.
CSAT surveys after every interaction, reviewed with you and acted on.
Documented processes, runbooks and continual improvement in every engagement.
Named delivery manager, weekly status, monthly service reviews and quarterly business reviews.
Need to know access, confidentiality agreements and data protection by design.
What you can hold us to
Reconciled data
Migrated data is validated against source before cutover.
Documented lineage
Every critical metric can be traced to its origin.
Controlled access
Role based access aligned to your security policy.
Business enablement
Users are trained to explore and report with confidence.
Technologies we work with
What changes for your organisation
One version of the truth
Consistent numbers across finance, operations and leadership.
Faster insight
Reporting cycles shortened from weeks to hours.
AI ready data
Governed, documented data that AI initiatives can build on.
Frequently asked questions
Do we need to replace our existing warehouse?
Not always. We assess whether modernising, extending or replacing gives the best return and recommend accordingly.
How do you ensure data quality?
We define quality rules with data owners, automate checks within pipelines and report exceptions so issues are fixed at source.
Can you support our reporting team after go live?
Yes. We offer ongoing support, enhancement and platform operations through our managed services.
How does this relate to AI?
Reliable AI depends on reliable data. A governed data platform is often the first step towards production grade AI use cases.
Services that work well together
Apply generative and agentic AI, workflow automation and AIOps where they remove effort and improve experience.
Migrate, modernise and govern workloads across Azure, AWS and private cloud on a secure, cost aware foundation.
Start with an independent, evidence based view of where you stand and what to change first.
Ready to talk about your priorities?
Tell us where you are today. A specialist will respond within one business day with a clear next step.
