Focused engineering, migration and team enablement. Explore the technical scope, method and deliverables of each intervention.
Each capability can support a focused issue or form part of a broader delivery programme. The scope is defined from your systems, users and operating constraints.
Architecture, code quality, performance and production readiness for teams that rely on R beyond notebooks and one-off analyses.
Scope, method & deliverables ↗We design and industrialise Shiny applications that move beyond the prototype stage: structured architecture, performance, security and deployment included.
Scope, method & deliverables ↗Audit, conversion, non-regression testing and industrialisation for organisations modernising legacy analytical workflows.
Scope, method & deliverables ↗From raw data to defensible evidence: preparation, statistical analysis, modelling and decision-oriented outputs built for the people who use them.
Scope, method & deliverables ↗Dashboards and analytical views that help people understand what changed, why it matters and what they should do next.
Scope, method & deliverables ↗Reliable pipelines, controls and scheduled workflows that reduce manual effort while keeping logic observable, testable and maintainable.
Scope, method & deliverables ↗Package recurring analytical logic into documented, tested and versioned components that can be reused across teams and projects.
Scope, method & deliverables ↗Architecture and adoption support for collaborative R environments, package governance and deployment across Data teams.
Scope, method & deliverables ↗Plan, test and execute R version and dependency migrations with controlled risk and a clear rollback path.
Scope, method & deliverables ↗A practical governance model for package repositories, approved versions, reproducibility and secure access across multiple projects.
Scope, method & deliverables ↗Custom workshops and training programmes designed from your datasets, workflows and operating constraints — with immediate application back on the job.
Scope, method & deliverables ↗Choose an intervention around the decision you need to make. Scope, schedule, responsibilities and pricing are defined in the proposal.
An R codebase that has grown, a fragile Shiny prototype or a migration to prepare. Start with a focused review before committing to a larger build.
R engineering, Shiny, packages, SAS migration or automation: define a useful scope, then build and validate it against agreed reference results.
Targeted training, code reviews and project mentoring connect technical practice with the tasks your team needs to perform.
A focused review can lead to a delivery or training proposal. Each phase has its own agreed scope; examples are not a fixed-price commitment.