Development
Data & Analytics Engineering
Turn the data scattered across your tools into dashboards and reports your team actually uses to make decisions.
Most businesses don't have a data shortage — they have a data scatter problem. Sales lives in the CRM, revenue in the accounting system, behaviour in the product database, marketing in five ad platforms. Answering a simple question means a day of exports and spreadsheet stitching, so the questions stop being asked.
We build the pipeline from scattered sources to a single warehouse, model the data so metrics mean one thing everywhere, and deliver dashboards people actually open. The hard part isn't the tooling — it's defining metrics honestly and winning your team's trust in the numbers. We've learned to treat that as part of the engineering.
With the foundation in place, AI multiplies its value: natural-language interfaces over your data, automated narrative reporting, anomaly alerts, and forecasting — capabilities that are only as good as the data layer beneath them.
What We Build
Data & Analytics: Our Offerings
Data Warehouse & Pipelines
Automated ingestion from your tools into a governed warehouse — one place where the truth lives.
Business Dashboards
Role-specific dashboards for leadership, sales, and operations, with metrics defined once and used consistently.
Automated Reporting
The weekly and monthly reports that consume analyst hours, generated and distributed automatically.
Product Analytics
Event tracking, funnels, retention, and cohort analysis wired into your product properly.
AI-Assisted Analytics
Ask questions of your data in plain language; receive answers, charts, and narrative summaries.
Forecasting & Anomaly Detection
Demand forecasts, revenue projections, and automatic alerts when metrics move abnormally.
What You Get
Delivered with Discipline
- One governed source of truth across your tools
- Metrics defined once, consistently, with documented lineage
- Dashboards that load fast and earn daily use
- Reporting hours returned to your team every week
- A foundation ready for AI and forecasting workloads
Technology
Tools We Work With
Technology choices are made per project — these are the tools we reach for most in data & analytics work, and we'll explain the reasoning behind every recommendation.
FAQ
Common Questions About Data & Analytics
Our data is a mess. Do we need to clean it up first?
No — cleaning is part of the project, not a prerequisite. Every analytics build includes profiling source data, resolving duplicates and inconsistencies, and documenting the judgement calls. Waiting for clean data before starting analytics is how companies stay stuck for years.
Which BI tool do you recommend?
We're tool-agnostic: Metabase for cost-effective flexibility, Power BI in Microsoft-centric organisations, Looker Studio for lighter needs. The warehouse and data model underneath matter far more than the chart layer — get those right and switching BI tools later is cheap.
How long until we see dashboards?
First connected dashboards on priority metrics typically land within 2–3 weeks. We deliberately ship something useful early, then expand source by source — analytics projects that disappear for a quarter before showing anything tend to lose the organisation's trust.
Can you make our data AI-ready?
Yes — and the honest framing is that 'AI-ready' mostly means 'well-modelled with clear definitions and good lineage', which is exactly what a proper analytics build produces. Natural-language querying and automated insights then sit on top as a thin layer rather than a moonshot.
Discuss Your Data & Analytics Project
Tell us what you're trying to achieve and a specialist will get back to you within one business day.
- Free 30-minute consultation
- Quote within 48 hours
- Your idea stays confidential
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