Statistical Modelling
Transform raw data into evidence-based insights using GLMs, survival analysis, Bayesian inference, and machine learning.
What we do
R and analytics services tailored to your needs.
We help organisations design, build, and operate modern data science workflows. Our services cover the full spectrum — from statistical modelling and data engineering to reproducible analytics, interactive visualisation, and hands-on training.
Capabilities
Every engagement starts with understanding your data landscape. We then design solutions that are practical, maintainable, and built to last.
Data Visualisation
Transform complex data into clear, accessible visualisations using ggplot2, Shiny, and modern web technologies.
Reproducible Analytics
Build reproducible, transparent analytics workflows using Quarto, R Markdown, and modern version control practices.
Data Engineering & Pipelines
Build reliable data pipelines and infrastructure that scale — from ETL to cloud-native data lakes.
Training & Mentoring
Build in-house R capability with expert-led workshops, mentoring programmes, and tailored training.
Tools & technologies
AWS / GCPApache AirflowD3.jsDockerGitGitHub ActionsMicrosoft FabricQuartoRR MarkdownSQLShinyStatistical methodsbrmsdbtggplot2plotlysurvivaltidymodelstidyverse
How we work
1
Understand
We start by understanding your data, your constraints, and what success looks like for your team.
2
Design
We recommend the right approach — whether that's a quick automation win or a full-scale data platform rebuild.
3
Deliver
We build together, ensuring your team can maintain and extend what we deliver.
4
Support
We don't disappear after handoff. Ongoing support and mentoring keep things running smoothly.