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01
Step 01
01

Discovery & Scoping

Every engagement begins here — not with data, but with a conversation. We take the time to fully understand your organization, your goals, and the precise business question you need answered. This phase defines the scope, constraints, and success criteria that will guide everything that follows.

Stakeholder alignment session
We meet key decision-makers to understand strategic context, existing assumptions, and what success looks like
Business question definition
We sharpen the central question into something precise, measurable, and answerable with data
Scope & constraints document
A written summary of deliverables, timelines, budget parameters, and any known limitations
Hypothesis framing
We articulate the leading hypotheses to test, keeping the analysis focused and efficient from day one
02
Step 02
02

Data Audit

Before we gather a single new data point, we take stock of what already exists. We assess the quality, completeness, and reliability of your current data assets — identifying what can be used, what needs to be cleaned, and where the critical gaps are that need to be filled.

Existing data inventory
Full catalogue of available internal datasets, their formats, owners, and update cadence
Quality & completeness assessment
We score data across accuracy, consistency, timeliness, and coverage against the analytical needs
Gap mapping
Clear identification of what data is missing and what external sources could fill those gaps
Data sourcing plan
A prioritized list of additional data to acquire, including source recommendations and acquisition approach
03
Step 03
03

Collection & Structuring

With the audit complete and the plan in place, we build the analytical foundation. This is the most unglamorous step — and one of the most important. We gather data from every identified source, clean it rigorously, normalize it for consistency, and structure it so that the analysis can be run reliably.

Multi-source data gathering
Primary research, third-party databases, APIs, web data, and client-provided datasets all pulled together
Cleaning & de-duplication
Removal of errors, duplicates, outliers, and inconsistencies using documented, reproducible methods
Normalization & transformation
Standardizing formats, units, and categorical variables across all sources for clean integration
Analytical dataset delivery
A versioned, documented dataset ready for analysis — yours to keep regardless of project outcome
04
Step 04
04

Analysis & Modeling

This is where the work happens. Our analysts apply the statistical methods, machine learning techniques, and domain-specific frameworks appropriate to the question at hand. We run the models, interrogate the outputs, stress-test the findings, and iterate until the signal is clear and the confidence is justified.

Exploratory data analysis
Initial pass to understand distributions, relationships, and anomalies before formal modeling begins
Statistical & ML model application
The right technique for the question — regression, clustering, forecasting, classification, or custom frameworks
Hypothesis testing
Formal testing of each hypothesis defined in Step 01, with documented methodology and significance levels
Iterative refinement
Models are challenged, adjusted, and re-run until outputs are stable, explainable, and defensible
05
Step 05
05

Synthesis & Validation

Analysis without peer review is a risk. Before anything leaves our hands, every key finding is independently reviewed by a second analyst, stress-tested against alternative explanations, and checked for logical consistency. We only present conclusions we are prepared to defend under scrutiny.

Independent peer review
A second analyst independently reviews methodology, assumptions, and conclusions before sign-off
Alternative hypothesis testing
We actively try to disprove our findings — if they hold up, we have much higher confidence in them
Sensitivity analysis
Key conclusions are tested across a range of input assumptions to assess robustness and identify fragilities
Narrative construction
Findings are assembled into a clear, logical story that answers the original business question directly
06
Step 06
06

Delivery & Activation

A finding that doesn't change anything is worthless. We don't hand over a report and disappear. We present our findings in the format that serves your audience best, walk through the implications together, answer every question, and make sure the insight is embedded into actual decisions — not filed away.

Tailored deliverable presentation
Report, dashboard, slide deck, or briefing — whichever format best serves your audience and use case
Findings walkthrough session
A live session with your team to present conclusions, answer questions, and discuss implications
Actionable recommendations
Clear, prioritized next steps derived from the findings — not generic advice, but specific actions for your situation
Full methodology handover
Complete documentation of data sources, analytical methods, and code — so nothing is a black box

Ready to begin?

The first conversation is free and carries no obligation. Tell us what you're trying to understand and we'll tell you honestly whether we can help — and how.