// Services / 02

Data &
Analytics Services.

Turn raw data into trusted insight. Our data engineering and analytics services deliver AI-ready data platforms, embedded business intelligence, real-time analytics, and production machine learning – with governance built in from the architecture stage.


// Our Offerings

Data & Analytics

5 services


The Problem

You're flying blind on data. Without a clear view of your estate or alignment with business outcomes, you waste time and money on work that doesn't scale, integrate, or deliver value – and you often lack visibility into reliability, security, and compliance.

The Challenge
  • Limited visibility into your data estate leads to misaligned initiatives
  • You spend on solutions that don't scale or integrate
  • Poor data quality slows decisions and progress
  • You lack clarity on security, compliance, and governance
  • Hidden risks increase your regulatory and operational exposure
The Why

Data only creates value when it's trusted, secure, and aligned to your goals. This Discovery Quickstart shows where you stand and what to do next – what's valuable, what's redundant, what's missing, and what to prioritise.

Why It Matters
  • Data delivers value only when it's trusted, secure, and aligned to goals
  • Without a baseline, you can't scale data initiatives confidently
  • You may not know what data to keep, use, or retire
  • Poor visibility leads to duplication, inefficiency, and missed opportunities
  • It's not just cleaning data – it's making data work for the business
What You Get (Deliverables)
Current State Assessment
  • Review of your data sources, architecture, tooling, and platforms
  • Evaluation of your cataloguing, governance, and lineage
  • Identification of gaps, redundancies, and high-risk areas
Data Pipeline & Integration Review
  • Mapping of your key pipelines and dependencies
  • Assessment of performance, scalability, and technical debt
  • Insights into data quality, latency, and transformations
Capability Maturity Snapshot
  • Benchmarking against DAMA and CDMC
  • A clear view of team capability, tooling effectiveness, and readiness
Quick Win Identification
  • A prioritised list of low-effort, high-impact opportunities
  • Business-aligned recommendations to unlock value quickly
Future-State Vision & Roadmap
  • A phased, actionable roadmap aligned to your strategy
  • Investment cases to secure buy-in and funding
  • High-level architecture and platform recommendations
Executive Summary & Playback Session
  • Plain-English outputs for business stakeholders
  • Technical appendices for data and IT teams
  • A collaborative playback with your leadership to align next steps
Timeline
2 weeks
Engagement Model
Fixed-scope engagement, Available remotely or on-site
The Outcome

Cut the guesswork and focus on what actually drives value. Get the clarity to stop investing in the wrong places and unlock measurable ROI quickly.

Ready to Get Started?
The Problem

Your legacy data warehouse and ETL block modern analytics, AI capabilities, and real-time insights that drive competitive advantage.

The Challenge
  • Legacy warehouses can't support modern analytics and AI workloads
  • ETL processes are slow, brittle, and hard to maintain
  • Data silos prevent end-to-end business insight
  • Scaling legacy systems is expensive and complex
  • Modern tools can't integrate with outdated infrastructure
The Why

Modern cloud-native platforms enable real-time analytics, AI, and scalable processing so you can understand and respond to the market faster.

Why It Matters
  • Modern platforms enable real-time decisions and advantage
  • Cloud-native solutions cut infrastructure cost and complexity
  • Scalable platforms support growth without re-architecture
  • Modern platforms unlock AI and machine learning
What You Get (Deliverables)
Migration Strategy & Planning
  • A comprehensive assessment of your warehouse and ETL
  • Cloud platform selection and target architecture design
  • A detailed migration plan with risks and rollback strategies
Data Platform Implementation
  • Deployment and configuration of a cloud-native data warehouse
  • Modern ETL/ELT pipelines with monitoring and alerting
  • A data lake for structured and unstructured data
Performance Optimisation
  • Query performance tuning and indexing
  • Partitioning and compression strategies
  • Auto-scaling and cost optimisation
Team Enablement & Support
  • Training on your new platform and best practices
  • Documentation and operational runbooks
  • Ongoing support during the transition
Timeline
8–16 weeks
Engagement Model
Programme
Proven Results
Clinical Data Analytics Platform
NHS Trust

Built unified data lake with real-time analytics, patient journey mapping, and predictive care models.

15+
 
Data Sources Unified
22%
 
Readmission Reduction
35%
 
Efficiency Gain
Why Vertex Agility Deep Domain Expertise – Specialists in your industry with proven track record and relevant case studies.
The Outcome

Build a scalable, future-ready foundation. Clients have significantly reduced infrastructure costs while unlocking real-time analytics and AI.

Ready to Get Started?
The Problem

Your users can't access insights where they work. Separate tools slow decisions and reduce the value of your analytics investment.

The Challenge
  • Users must switch between apps to see insights, adding friction
  • Complex tools require specialist training
  • Insights sit outside business workflows and processes
  • Poor UX reduces adoption and impact
  • IT becomes a bottleneck for analytics requests and changes
The Why

Embed insights directly into user workflows to increase adoption, speed up decisions, and maximise data value.

Why It Matters
  • Embedded insights improve adoption and decision quality
  • Contextual analytics increase relevance and impact
  • Self-service reduces IT burden and improves agility
  • Better UX drives satisfaction and stickiness
What You Get (Deliverables)
Analytics Integration Strategy
  • Assessment of your applications and user workflows
  • Integration architecture that disappears into the host app
  • UX design optimised for embedded insights
Dashboard & Visualisation Development
  • Custom dashboards integrated into your product
  • Interactive visualisations with drill-downs
  • Mobile-responsive design for any device
Self-Service Analytics Platform
  • A drag-and-drop report builder for business users
  • Automated report generation and distribution
  • Real-time refresh and alerting
Performance & Scalability
  • Optimised queries and caching for fast response
  • Scalable architecture for concurrent users
  • Monitoring and alerting for performance
Timeline
4–8 weeks
Engagement Model
Programme
The Outcome

Increase product adoption and reduce churn by putting insights where work happens.

Ready to Get Started?
The Problem

You need specialist data engineering, but hiring and retention are tough while demand for data keeps growing.

The Challenge
  • Skilled data engineers are costly and hard to recruit
  • Pipeline maintenance competes with new features
  • Complex data projects need deep expertise
  • Demand for data often exceeds your internal capacity
  • Data quality needs continuous monitoring and improvement
The Why

Dedicated data pods give you consistent capacity, specialist skills, and proven methods so your data operations stay reliable and your roadmap moves.

Why It Matters
  • Reliable data operations underpin decision-making
  • Specialist expertise reduces project risk and timelines
  • Consistent capacity enables a predictable roadmap
  • External pods bring best practice and modern tech
What You Get (Deliverables)
Dedicated Data Engineering Teams
  • Cross-functional pods with engineers, architects, and analysts
  • Expertise across the modern data stack
  • Agile methods adapted to data engineering
Pipeline Development & Maintenance
  • Production-grade ETL/ELT with end-to-end error handling
  • Automated data quality monitoring and validation
  • Performance optimisation and scalability improvements
Data Platform Operations
  • 24/7 monitoring and alerting for pipeline health
  • Proactive maintenance and issue resolution
  • Capacity planning and infrastructure optimisation
Knowledge Transfer & Capability Building
  • Documentation and best practices for your teams
  • Training and mentoring programs
  • Optional transition to internal ownership
Timeline
Ongoing
Engagement Model
Managed Service
The Outcome

Sustain savings and agility without hiring headaches, and respond faster to business needs.

Ready to Get Started?
The Problem

You have valuable data assets but lack the strategy, technology, and go-to-market to monetise them – internally or as new revenue.

The Challenge
  • Valuable data remains untapped and unmonetised
  • No clear product strategy or market positioning
  • Your infrastructure isn't built for external data sharing
  • Regulation and privacy complicate data access
  • Sales and marketing lack data product playbooks
The Why

Turn static data into products that generate revenue and improve efficiency, and differentiate you in the market.

Why It Matters
  • Data products can create significant recurring revenue
  • Monetised data improves overall valuation
  • Differentiated data offerings win competitive deals
  • Internal data products sharpen decisions and efficiency
What You Get (Deliverables)
Data Product Strategy
  • A data asset inventory and monetisation assessment
  • Market research and competitive analysis
  • Business model and pricing strategy
Product Development & Implementation
  • Secure APIs for controlled data access
  • Packaging and delivery mechanisms
  • A self-service UI for data access
Go-to-Market Support
  • Sales enablement and marketing materials
  • Customer onboarding and support processes
  • Success metrics and performance monitoring
Compliance & Security
  • A privacy and regulatory compliance framework
  • Security architecture for external data sharing
  • Governance and access control mechanisms
Timeline
12–24 weeks
Engagement Model
Programme
The Outcome

Create new recurring revenue by monetising existing data, and raise investor confidence and valuation.

Ready to Get Started?

// Get in touch

Got a data & analytics challenge?
Let's solve it.

Send us a brief and we'll come back within one working day with a senior Data & Analytics consultant – and a clear sense of how to start.