Data & Analytics
Data Science
Statistical work scoped to a decision someone is waiting on. We state the question and the confidence before starting, and report the result even when it is inconvenient.
In short
Analysis that answers a stated question.
What we deliver
- A written question and success criterion before analysis
- Exploratory analysis with assumptions stated
- Results with confidence intervals, not point estimates
- A plain-language write-up for non-specialists
A good fit when
- A decision keeps being made on intuition
- You have the data and no one to interrogate it
- A vendor's claimed uplift needs independent checking
Technologies and methods
Chosen for each project, to fit your systems and your team.
- Python
- pandas
- scikit-learn
How we deliver
From first conversation to production.
Four stages on every engagement, scaled to the size of the project.
- 1
Understand
Clarify the users, goals, constraints, and current systems.
- 2
Plan
Map the main components, data, and integrations before implementation.
- 3
Build
Develop and review the work in small, testable increments.
- 4
Prepare
Plan deployment, operations, documentation, and ownership.
More in Data & Analytics
Prefer to talk it through?
A private consultation, 30 minutes with the founder, in your time zone.
Interested in Data Science?
Tell us what you are working on. We start by understanding the problem, the people, and the systems involved.