Focused engagement
Analysis and reporting automation
For teams that update data and need to regenerate tables, figures or reports consistently. We turn agreed steps into a reproducible workflow, with parameters, checks and a record of each run.
Deliverables
- An R or Python pipeline for the inputs, transformations and analyses defined in scope.
- Parameterised tables, figures and reports in agreed formats.
- Data and output checks, a record of parameters and versions, and comparison with reference results where applicable.
- Source code, tests and instructions for running and maintaining the workflow.
When to use it
Best fit
You repeat an analysis or report after each data update. You need consistency across results, tables and documents. Checks and issue reconciliation involve repetitive manual work.
Scope
- Where the task requires them, the scope can include QC rules, a structured issue log or a review dashboard. The tool applies explicit rules and preserves the review decisions assigned to a person.
Inputs
- A representative example of inputs and outputs, templates, methods and analysis rules, update frequency, technical environment and acceptance owner. Materials are shared through the agreed authorised channel.
Data handling
Real patient or confidential study data remains within the client, sponsor, CRO or contractually approved environment. The permitted data, access model and retention rules are agreed before work begins.
Do not send patient, clinical or confidential study data.
Boundaries
- Automation implements agreed definitions; changes to methods are reviewed explicitly. Acceptance criteria specify which results must be reproduced and which differences are acceptable. Additional formats, deployment, maintenance and formal validation are priced when included in the engagement.
Frequently asked questions
Can we start with one report?
Yes. We can define one family of outputs and check a controlled data update before expanding the workflow.
Does this include correcting the statistical analysis?
Only when explicitly included. Questions about definitions or methods are documented and resolved with the responsible person before that part is automated.
Discuss this engagement
Confirm fit before sharing materials.
Describe the study situation, intended decision and deadline. We review fit and availability, agree the scope and prepare a proposal. Data access is arranged separately in an approved environment.