One set of numbers everyone can trust
We bring data together from your systems into a well-organised warehouse, then build the reports and dashboards your people need. The goal is fewer arguments about whose spreadsheet is right.
When different teams report different figures for the same thing, the problem is rarely the dashboard. It is usually that the data lives in several systems, each with its own definitions, and is combined by hand in spreadsheets. We fix the foundations first: pipelines that collect data automatically, clean it and store it in one place with agreed definitions.
We build pipelines from your applications, databases, SaaS tools and files into a warehouse such as PostgreSQL, BigQuery or a cloud data platform suited to your scale. Transformations are written as version-controlled code and tested, so a change to a definition is visible, reviewed and consistent everywhere it is used. Pipelines are monitored and alert when a source fails or data looks wrong, so problems are fixed before anyone reads a misleading report.
On top of that foundation we build dashboards and reports around the decisions people actually make, not every metric that can be counted. Where it helps, we add forecasting and anomaly detection. And because good analytics depends on good governance, we set up access controls and documentation so people know what each figure means. The warehouse and pipelines sit in your own cloud account, and everything is documented so your team or another supplier can take it forward.
What we deliver
Data audit
A review of your data sources, quality issues and reporting needs.
Data pipelines
Automated, monitored extraction and loading from your systems and SaaS tools.
Data warehouse
A central, well-modelled store of business data with agreed definitions.
Dashboards and reporting
Focused dashboards and scheduled reports for each team and decision.
Forecasting and anomaly detection
Statistical and machine learning models for demand, risk and outliers.
Data governance
Access controls, documentation and data quality checks.
From brief to launch
The same five stages on every project, with a working demo every two weeks.
Discover
We learn your business, users and goals, then agree a clear written scope.
Design
Wireframes and interactive prototypes you can click through before we write code.
Build
Two-week sprints with a working demo at the end of each one.
Launch
Testing, security checks, deployment and app-store submission handled for you.
Grow
Monitoring, support and new features as your users and business grow.
Data Engineering & Analytics questions
Which BI tool do you use?
We work with the common business intelligence tools and custom dashboards. If you already have a tool, we build on it; if not, we recommend one based on cost and who will use it.
How long before we see useful reports?
We usually start with one high-value area, which typically produces working reports within a few weeks, then extend to other areas.
What about poor-quality data?
We measure it, fix what can be fixed in the pipeline and flag what needs correcting at source, so quality improves over time.
Is our data secure in the warehouse?
The warehouse sits in your own cloud account, with encryption, role-based access and audit logging configured as standard.
What is the difference between a data warehouse and a database?
Your operational databases run day-to-day applications, while a warehouse brings data from many systems together and is structured for reporting and analysis. Keeping them separate means heavy reports do not slow down your live systems.
Which data sources can you bring together?
Most of them: application databases, accounting, CRM, eCommerce and marketing platforms, spreadsheets and files, and APIs from SaaS tools. We confirm access to each source during the data audit.
How do you make sure everyone agrees on the numbers?
We agree written definitions for key measures such as revenue, active customer and margin, build them once in the warehouse and use those definitions in every report so teams stop producing conflicting figures.
How often is the data updated?
Most business reporting refreshes hourly or daily, which keeps costs down. Where decisions depend on live figures, we can build near-real-time pipelines for those specific datasets.
Can our own staff create reports after handover?
Yes. We model the data so it is understandable to business users, document it and train your team on the BI tool, so they can build their own reports without writing code.
What do we need to have in place before starting?
Access to the systems holding your data and someone who can explain what the key numbers should mean. We handle the rest during the data audit, including identifying gaps and quality issues.
Everything else we do
Custom Software Development
Bespoke business systems built around how your organisation actually works, not how an off-the-shelf package assumes it does.
Web Application Development
Secure, fast web applications and customer portals that work in any browser and scale as your user base grows.
Mobile App Development
iOS and Android apps, native or cross-platform, published under your own App Store and Google Play accounts.
AI & Machine Learning
Practical AI: LLM features, agents, document extraction and predictive models, built with your data privacy in mind.
SaaS Product Development
Multi-tenant SaaS products with subscriptions, onboarding and admin tooling, from first MVP to a platform that scales.
eCommerce Development
Online stores and B2B ordering platforms on Shopify, WooCommerce, Magento or fully custom builds, connected to your operations.
Cloud & DevOps
Cloud architecture, migrations, CI/CD pipelines and infrastructure as code, all set up in cloud accounts you own.
UI/UX Design
Research-led product design, from user journeys and wireframes to polished interfaces and design systems developers can build from.
Have a project in mind? Let’s talk.
Tell us what you are building. We reply within one business day with next steps — and we are happy to sign an NDA first.