Data & Analytics
We build modern data platforms, analytics pipelines, and business intelligence solutions that transform scattered data into actionable insights driving real business outcomes.
Faster Reporting Cycles
Self-Service Adoption Rate
Daily Data Processed
What We Deliver
Data is the foundation of modern decision-making, but most organisations struggle with fragmented data sources, inconsistent definitions, and slow reporting cycles. Our data and analytics practice builds the infrastructure, pipelines, and governance frameworks that transform raw data into trusted, timely insights accessible to everyone in your organisation.
We design modern data stacks using cloud-native warehouses, real-time streaming pipelines, and semantic layers that enable both self-service analytics for business users and advanced analytics for data scientists. Whether you need a lakehouse architecture for petabyte-scale workloads or a focused dashboard for executive decision-making, we build solutions that scale with your data ambitions.
Modern Data Stack
Cloud-native warehouses, ELT pipelines, and transformation layers that scale elastically with your data volume.
Self-Service BI
Interactive dashboards and semantic models that empower business users to explore data without SQL knowledge.
Real-Time Streaming
Event-driven data pipelines that process and surface insights from streaming data in seconds, not hours.
Data Governance
Data catalogues, lineage tracking, quality monitoring, and access controls for trustworthy analytics.
What Sets Us Apart
Dimensional modelling, slowly changing dimensions, and performance-optimised warehouse architectures on Snowflake or BigQuery.
Reliable, observable data pipelines with incremental loading, schema evolution, and automated data quality checks.
Interactive dashboards, embedded analytics, and scheduled reports using Looker, Power BI, or Metabase.
Real-time data ingestion and processing with Kafka, Flink, or Kinesis for time-sensitive analytical workloads.
Domain-oriented data ownership with federated governance, self-serve platforms, and data product thinking.
Automated testing, anomaly detection, and lineage tracking to ensure data reliability across your entire pipeline.
How We Execute
Data Landscape Assessment
We catalogue your data sources, interview stakeholders on reporting needs, and assess data quality to build a prioritised roadmap.
Architecture & Modelling
A target data architecture is designed with your team, including warehouse schema, pipeline topology, and governance policies.
Pipeline & Dashboard Development
Data pipelines are built and tested incrementally, with dashboards developed in parallel to deliver value in early iterations.
Adoption & Scale
Training programs, documentation, and data literacy workshops ensure your team can independently maintain and extend the platform.
Real-World Applications
Executive Analytics Platform
A retail group consolidated data from 12 systems into a single warehouse powering real-time dashboards for C-suite strategic decisions.
Customer 360 Data Platform
A telco unified CRM, billing, and usage data to create a comprehensive customer view that reduced churn by 18%.
Real-Time Fraud Detection
A payments company built a streaming analytics pipeline processing 50K transactions per second to flag suspicious activity in under 200ms.
Supply Chain Visibility
A manufacturer built end-to-end supply chain dashboards tracking raw materials through production to delivery with real-time status updates.
Ready to Build Your Data & Analytics?
Let's turn your vision into a high-performance solution that scales with your ambition.