Data Analytics
Turning operational data into decisions, with the caveats stated rather than hidden.
Analysis is only useful if somebody changes a decision because of it. Plenty of analytics work is technically impeccable and commercially inert.
We turn operational data into decisions, and we state the caveats — sample sizes, confounders, data quality limits — rather than burying them in an appendix.
How we approach it
We start from the decision. If nothing would change regardless of the answer, we will say so and suggest a better question.
Why this matters
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Answers a real question
Scoped around a decision someone is genuinely about to make.
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Caveats stated
Limitations and confidence set out plainly, not hidden.
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Reproducible
Version-controlled analysis anyone can re-run and verify.
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Understandable
Findings explained for the people who act on them.
What is included
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Exploratory analysis
Profiling and quality assessment before any conclusions.
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Statistical analysis
Methods chosen for the data you have, with assumptions stated.
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Cohort and segmentation
Behavioural segmentation that holds up when tested.
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Communication
Written findings and a playback session for decision-makers.
How we deliver it
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01
Assess
Interviews, documentation review and hands-on inspection to establish what is actually true about the available data today.
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02
Analyse
Findings tested against your commercial constraints, so recommendations are affordable as well as correct.
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03
Recommend
A prioritised plan with sequencing, costs, dependencies and the risks of doing nothing.
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04
Implement
We deliver the work ourselves or support your team through it, whichever you prefer.
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05
Review
Measurement against the baseline we agreed at the start, and an honest account of what did not land.
What you receive
- Data quality and profiling report
- Reproducible analysis notebooks
- Findings report with stated limitations
- Recommended actions with expected impact
- Playback session with stakeholders
Tell us about your idea, and we'll make it happen.
Have a problem that needs solving? We would like to hear about it.