Data engineering & business intelligence
Data pipelines, real-time analytics and dashboards that bring your business data into one place.
What this means for your business
Most businesses have data spread across spreadsheets, apps and databases, and pulling together a simple report can take days. We bring that data into one place, keep it clean and up to date, and build the reports and dashboards your team uses to make decisions.
What’s included
Data pipeline design
Automated pipelines that collect, clean and combine data from all your systems.
Real-time analytics
Up-to-date numbers on sales, operations and customers, without waiting for month-end reports.
Dashboard development
Clear, interactive dashboards built around the questions your team actually asks.
Predictive modeling
Forecasts and trend analysis built on top of your cleaned, combined data.
Data warehousing
One reliable, well-organised home for your business data in the cloud.
Data quality & governance
Checks, access rules and documentation so everyone trusts the numbers.
What you get
- Data audit and architecture plan
- Automated data pipelines
- Cloud data warehouse
- Interactive dashboards and reports
- Documentation and team training
Ideal for
- Businesses with data spread across many tools
- Managers waiting days for reports
- Teams that want one trusted source of numbers
- Companies preparing for AI and machine learning
How a project runs
Four clear stages, with a working demo at the end of each one.
- 01
Discover
We learn your business, your users and the problem worth solving.
- 02
Design
Screens, architecture and a plan with milestones you can track.
- 03
Build
Short sprints with regular demos, so you see progress every step.
- 04
Launch & grow
Deployment, monitoring and improvements long after go-live.
Data engineering & BI: common questions
Which tools do you use for dashboards?
We work with common BI tools such as Power BI, Looker Studio and Metabase, or build custom dashboards into your own app.
Can you connect our existing systems?
Yes. We connect databases, spreadsheets, accounting and sales tools and most systems that offer an export or API.
How is this different from AI & machine learning?
Data engineering and BI get your data organised and visible. Machine learning then builds on that clean data to predict and automate.
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