Data spread across tools is data nobody trusts.
Sales in one system, operations in another and finance in spreadsheets — so every report means hours of manual work and numbers that never quite match.
We bring your data together into a well-modelled warehouse, define the KPIs that matter, and build dashboards people can use without asking an analyst. Forecasting and natural-language querying come on top of a foundation you can trust.
- Data warehouse design & modelling
- ETL / ELT data pipelines
- Interactive dashboards & reporting
- KPI definition & tracking
- Predictive analytics & forecasting
- Natural-language querying with AI
Business Intelligence services
Pick one piece or the whole stack — every engagement is scoped to what your product needs.
Data warehousing
A central, well-modelled store for data from all your business systems.
ETL / ELT pipelines
Automated, scheduled pipelines that extract, clean and load data reliably.
Dashboards & reporting
Interactive dashboards in Power BI, Metabase or a custom web app.
KPI design
Clear, agreed definitions of the metrics that drive your business.
Predictive analytics
Forecasts for sales, demand and churn built on your historical data.
Ask your data with AI
Natural-language questions answered from your warehouse, with the query shown.
Our approach to Business Intelligence.
A clear sequence, agreed up front, so you always know what happens next and why.
Agree the business questions and KPIs that matter most
Inventory data sources and assess data quality
Design the warehouse model and transformation layer
Build and schedule pipelines with data quality checks
Create dashboards with the people who will use them
Train your team and hand over documentation
One source of truth
Every team reports from the same, consistently defined numbers.
Less manual reporting
Reports refresh automatically instead of being rebuilt in spreadsheets.
Look ahead, not just back
Forecasts and trends help you plan, not only review the past.
What our BI work covers
Data modelling
Star schemas and dbt models that make analysis simple and fast.
Data quality checks
Automated tests that flag missing, duplicated or invalid data.
Self-service analytics
Dashboards and filters that let teams answer their own questions.
Embedded analytics
Charts and reports inside your own product for your customers.
Forecasting models
Time-series and machine learning models for planning.
Governance & access
Role-based access so people see the data they should.
From first call to production.
Weekly demos, clear milestones and access to the code from day one.
Discover
We dig into your problem, goals, data and existing systems before proposing anything.
Architect
We design the AI stack, database schema, API structure and interface, then agree scope and timeline.
Build
Focused sprints covering backend, AI models and frontend together — with a demo every week.
Deploy
We ship to production with CI/CD, monitoring and documentation, then hand everything over.
Business Intelligence: common questions.
Can’t find your answer? Ask us directly — we reply within 24 hours.
Which BI tools do you work with?
Power BI, Metabase and custom React dashboards are the most common, on top of PostgreSQL or cloud warehouses. We recommend based on your budget and team.
Our data is messy — can you still help?
Yes. Cleaning and modelling data is usually the first and most valuable step. We add automated quality checks so problems are visible instead of hidden.
Can dashboards update automatically?
Yes. Pipelines run on a schedule or in near real time, so dashboards stay current without manual exports.
Can non-technical staff use the dashboards?
Yes. We design them with the people who will use them and can add natural-language querying so anyone can ask questions in plain English.