Data analytics services are for organisations that want to turn data into clear, actionable insights. We modernise legacy data platforms to solve fragmented data, slow reporting, and scalability limits, with AI-driven business intelligence built in.
A scalable data infrastructure built around a centralised data platform and lakehouse architecture. This supports long-term growth, performance, and flexible analytics needs.
Unified data foundation
A single, centralised data platform with consistent and trusted data across the organisation. Teams work with the same reliable information, without silos or duplicates.
Faster business insights
Faster analytics delivery with real-time data and interactive dashboards. Decision-makers get the insights they need without long reporting cycles.
AI-driven self-service analytics
Business users can explore data independently using semantic data models and Power BI. AI-driven analytics make insights more accessible across the organisation.
Our Data Expertise Areas
Data warehouse / lakehouse
We design and modernise data warehouse and lakehouse platforms for scalable, cloud-based analytics. Solutions support secure data storage, performance, and long-term growth.
Data integration & engineering
We build reliable data pipelines to connect, transform, and manage data from multiple sources. This ensures consistent data quality and smooth integration across systems.
Business intelligence & reporting
We develop business intelligence solutions for clear, actionable reporting and analytics. Dashboards and semantic data models help teams make data-driven decisions faster.
Advanced analytics & data science
We support advanced analytics and data science use cases, including predictive and descriptive analytics. Data is prepared for AI and machine learning to unlock deeper business insights.
Our Data Services Delivery Processes
01
Analysis & design
We start with data analytics consulting to define a clear data strategy and solution design. This includes data architecture planning aligned with business goals and technical requirements.
02
Engineering & development
We develop data warehouses, data pipelines, and ETL solutions to support reliable data integration. Engineering focuses on performance, scalability, and secure data flows.
03
Operational support
We provide ongoing data platform support, including data quality management and BI support services. Analytics optimisation ensures stable performance and continuous improvement.
Security and compliance are built into every stage of delivery. We follow industry best practices for access control, data protection, monitoring, and governance to keep your data secure and compliant with relevant regulations.
What does a typical data project look like?
Most projects start with analysis and design, followed by data engineering, platform implementation, and testing. Once the platform is live, we provide ongoing support to ensure performance, data quality, and continuous improvement.
How can a new data platform help me start using AI and machine learning?
A modern data platform provides clean, well-structured, and accessible data, which is essential for AI and ML use cases. It makes it easier to prepare data, train models, and deploy AI-driven insights across the business.
.png)
