01
Enterprise Data teams
Engineering standards, automation, deployment and team enablement.
R • DATA • AI • SHINY • POSIT
R expertise.
Engineering for real-world delivery.
R engineering, Shiny applications, SAS migration and data workflows. We help your teams build systems with explicit business rules, reproducible environments and a clear handover.
Rdeep expertise
Buildproduction-first
Enableknowledge transfer
TRANSFORMR / ENGINEERINGDELIVERY FRAMEWORK
FROM ANALYSIS TO OPERATIONS
A system your team can own.
01Data & business rulesFRAME
02R code & packagesBUILD
03Tests & reference resultsVERIFY
04Application & handoverOPERATE
R / Shiny / SAS → R / Posit
Code · Tests · Documentation · Handover
Code · Tests · Documentation · Handover
CORE EXPERTISE
Technical depth across the delivery lifecycle.
We intervene where analytical work becomes critical infrastructure: when reliability, reproducibility, security and maintainability directly affect delivery.
01R ENGINEERING
R consulting & engineering
Architecture, refactoring, packages, performance, testing and production readiness.
↗02SHINY
Data products
Shiny applications engineered for real users.
↗03MODERNISATION
SAS → R
Controlled migration and non-regression validation.
↗04AUTOMATION
Pipelines & automation
Reliable workflows with controls, logs and clear ownership.
↗05PLATFORM
Posit & R environments
Package governance, collaborative development and secure publishing.
↗SECTORS
Where rigorous data engineering matters most.
Our expertise is particularly relevant in environments where analytical outputs must be explainable, traceable and dependable.
Research & public institutions
Reproducible workflows, validated analytics and sustainable research software.
Life sciences & health
Traceable analytical systems and robust reporting pipelines.
Industry & operations
Automation, data products and decision support for operational teams.
Turning complex R work into a usable, testable delivery.
Functional finalisation, GitLab delivery, executable packaging and a structured test battery to support acceptance. The mission focused on reliability, reproducibility and operational handover.
Code deliveredExecutable readyTests preparedGitLab
01
Architecture
02Validation
03Handover
DELIVERY MODEL
A clear method, from scoping to handover.
We make technical decisions explicit, reduce risk early and leave behind systems the internal team can understand and operate.
01
Frame
Business objective, constraints, users and definition of success.
02
Design
Architecture, interfaces, data flows, validation and operating model.
03
Build
Engineering, tests, observability, documentation and deployment.
04
Enable
Handover, training and the ability to evolve the solution internally.
CUSTOM · PRACTICAL · OPERATIONAL
CORPORATE TRAINING
Help your team progress on the work that matters.
R, Shiny, Posit, SAS-to-R migration, automation and applied AI. We design workshops and programmes from your real context, tooling and team maturity.
R & Data ScienceShiny & PositSAS → RGenerative AI
Design a programme
INSIGHTS
Practical thinking for demanding Data teams.
Generative AI for Data Teams: 10 High-Value Use Cases
Ten practical uses of generative AI that can improve the productivity of Data teams without lowering engineering or governance standards.
Read the insight ↗From Shiny Prototype to Production: Architecture, Security and Performance
How to turn a useful Shiny prototype into a production-grade application that is secure, maintainable, performant and supportable.
Read the insight ↗SAS to R Migration in Enterprise: A Practical Roadmap
A practical framework for migrating SAS workloads to R while protecting business logic, validation quality and production reliability.
Read the insight ↗YOUR PROJECT
A technical challenge worth discussing.
Share the context, constraints and expected outcome. We will respond with a concrete, proportionate next step.
Start the conversation