Data Services
Build, Modernize, Govern, and Operate Your Enterprise Data Ecosystem
100+
Global clients
20+
Years experience
5
Industries served
500+
Projects delivered
Trusted by Leading Brands
Trusted by 100+ global companies across Retail, Manufacturing, Healthcare, Finance, and Technology
Most enterprises have data.
Few have a data foundation that actually works.
Fragmented data stacks
Data warehouses, data lakes, and operational databases that don't talk to each other. Your teams spend hours preparing data instead of analysing it.
AI projects with no data runway
Machine learning and GenAI initiatives that stall because training data is dirty, unstructured, or inaccessible. No data readiness, no AI ROI.
Governance gaps under compliance pressure
Data warehouses, data lakes, and operational databases that don't talk to each other. Your teams spend hours preparing data instead of analysing it.
Legacy infrastructure blocking scale
On-premise data warehouses and ageing pipelines that can't handle modern analytical workloads, real-time data, or cloud-native AI integrations.
No single view for decision-makers
Executives relying on static spreadsheets and disconnected reports. No unified, trusted metrics to drive operational and strategic decisions.
Projects that deliver late or not at all
Data transformation programmes that run over budget, lose stakeholder confidence, and fail to deliver measurable business outcomes.
Six capabilities. One integrated data practice.
Data Strategy & Roadmap
Assess your current state, define your target architecture, and build a prioritised roadmap that aligns data investments to business outcomes.
Data Engineering
Design and build reliable, scalable data pipelines that ingest, transform, and serve clean data to reporting, analytics, and AI workloads.
Data Migration & Modernization
Move from legacy on-premise warehouses to cloud-native architectures on Azure Synapse, Databricks, or Fabric — with zero data loss and minimal disruption.
Data Governance
Establish policies, ownership, lineage, and quality controls that make your data trustworthy, compliant, and ready to serve AI and analytics at scale.
Reporting & Analytics
Build interactive Power BI dashboards, self-service analytics, and operational reports that give every decision-maker a single, trusted view of the business.
AI & Machine Learning
Apply ML models, predictive analytics, and AI-led insights directly on your data platform — from demand forecasting and churn prediction to anomaly detection.
One partner for the entire data lifecycle
Most data projects fail not because of bad technology — but because strategy, engineering, and governance are delivered by different vendors who never truly coordinate. Saxon AI owns all of it.
Single accountable delivery model
Strategy, architecture, engineering, governance, and analytics — all under one engagement, one team, one outcome.
AI-first data architecture
Every data environment we build is engineered to serve AI and ML workloads from day one — not retrofitted later at significant cost.
Microsoft & Databricks certified
Certified delivery on Azure Synapse, Microsoft Fabric, Power BI, and Databricks — the platforms that matter for enterprise data at scale.
Our credentials & partnerships
- Microsoft Solutions Partner — Data & AI
- Databricks Delivery Partner
- Azure Expert Managed Service Provider
- Power BI Certified Deployment Partner
- GDPR, HIPAA, SOC 2 — compliance-ready delivery
- 15+ years enterprise data delivery experience
- 100+ global clients across 5 major industries
What Saxon AI data engagements deliver
60%
Reduction in time spent preparing data for reporting and analytics
3X
Faster delivery of new analytics features after data foundation modernization
40%
Lower total cost of ownership after migration from legacy on-premise stacks
99.9%
Pipeline reliability achieved with automated monitoring and alerting
Real engagements. Measurable outcomes.
AI-Driven Demand Intelligence for Luxury Supply Chain Planning
Delivering SKU-level demand intelligence through machine learning models and real-time planning dashboards for production and distribution teams. Unified fragmented supply chain data into a single intelligent layer that drives daily planning decisions.
SKU-level
Demand accuracy
Real-time
Planning dashboards
ML
Forecasting models
Unified Retail Analytics Platform for Customer Happiness & Sales Intelligence
Designed and implemented an integrated data platform for a leading retail brand to unify customer feedback, survey responses, and sales transactions across multiple touchpoints. The solution consolidates data from disparate enterprise systems into a centralized analytics layer, enabling real-time visibility into customer sentiment and business performance.
100%
visibility into customer feedback
50%
faster report generation cycle
40%
reduction in reporting errors
Data solutions built for your sector
Microsoft Fabric
Microsoft Fabric
End-to-end analytics on the unified SaaS platform — data engineering, warehousing, and Power BI in one experience.
Azure Synapse
Azure Synapse Analytics
Limitless analytics with deeply integrated data lake, warehouse, and Spark — designed for enterprise-scale workloads.
Databricks
Databricks Lakehouse
Unified analytics and ML on a single lakehouse platform. Our Databricks partnership ensures best-practice implementation.
Power BI
Power BI & Analytics
Self-service BI, embedded analytics, and enterprise reporting built on Power BI — the most widely adopted BI platform.
How a Saxon AI data engagement works
Data Discovery
Assess your current data estate, identify quality issues, map sources, and benchmark maturity against delivery goals.
Architecture & Design
Define target state architecture, select platforms, model data domains, and create a prioritised delivery roadmap.
Engineering & Pipelines
Implement pipelines, data models, governance controls, and analytics layers in iterative, testable sprints.
Testing & Validation
Reconcile data quality, validate outputs against source systems, and certify the data environment for production.
Run & Optimise
Monitor pipeline health, manage performance, deliver enhancements, and continuously optimise cost and quality.
Questions about enterprise data services
What does an enterprise data services engagement with Saxon AI cover?
We cover the full data lifecycle — strategy and roadmap, data engineering and pipeline design, migration from legacy systems, governance and compliance frameworks, reporting and analytics delivery, and AI/ML enablement. Engagements can be scoped to a single capability or structured as a full transformation programme, depending on your priorities and current maturity.