Data,
End to End

Data Pipelines & Integration

Robust, maintainable workflows that move and shape data across your stack: spanning established platforms like SQL Server and Snowflake, the emerging Microsoft Fabric, accessible tools like Alteryx and Tableau Prep, and lightweight approaches using Python (pandas), Power Query, and open-source databases. We scope the toolset to match your budget and infrastructure, not the other way around.

Visualisation & Reporting

Dashboards and reports built around the decisions they support: clear, purposeful, and easy to maintain. We work with Power BI (including paginated reports), Tableau, and ThoughtSpot, as well as Python-based visualisation with Matplotlib and Seaborn for analytical and exploratory reporting.

Exploratory Analysis

Structured investigation to surface patterns, anomalies, and root causes before drawing conclusions. Often the first step before building pipelines or models, but it stands on its own too: when the question is simply "what's actually going on in this data?", we dig in, profile what's there, and tell you straight what we find.

Data Governance & Access

Row-level security, roles, and permissions configured across Power BI, Fabric, Snowflake, and SQL Server, alongside the documentation, naming conventions, and data quality standards that keep a system trustworthy and maintainable as it grows.

Customer Insights & Prediction

Understanding who your customers are and what they're likely to do next. We uncover behavioural patterns, segment audiences, model churn risk, propensity to buy, and conversion likelihood, drawing on clustering, cohort analysis, XGBoost, and deep learning for more complex problems. Chosen for fit rather than familiarity.

A/B Testing & Experimentation

Good experiments don't start with results — they start with the right design. We handle the full cycle: from sample size and power calculations through to statistical significance, confidence intervals, and clear interpretation of what the data actually says. Applied across marketing, pricing, and web UX, and honest about when a result is inconclusive.

Optimisation

When the question is "what's the best possible answer here?": whether that's people, resources, budgets, schedules, or capacity, we build models that find better answers than intuition alone. Ranging from classical calculus-based methods through to evolutionary algorithms, Bayesian optimisation, and mathematical programming. For computationally intensive problems, we have the infrastructure to scale accordingly.

AI & Automation

From unstructured text locked in free-text fields and documents, to repetitive workflows that consume analyst time, we apply large language models and AI-assisted agents to extract insight, automate processes, and surface what matters. The approach is pragmatic, shaped by the problem and the client's existing stack.

Project Scoping & Discovery

Structured sessions to define objectives, map dependencies, and surface risks before work begins, so that effort is spent solving the right problem, not correcting the wrong one later.

Delivery & Programme Management

End-to-end oversight of data initiatives, keeping delivery on track across teams, vendors, and timelines. We manage complexity so stakeholders stay informed and projects don't drift.

Stakeholder & Handover Management

From steering group facilitation to thorough documentation, ensuring teams are equipped and confident long after we leave. No black boxes, no dependency on us to keep the lights on.