Turn your data into decisions you can defend.
Stop drowning in spreadsheets. Real infrastructure underneath, dashboards on top, and reporting that takes minutes instead of half a day.
The data problems we keep seeing
Data scattered across tools
Shopify, QuickBooks, a Google Sheet, and three spreadsheets on someone's desktop. Nobody can agree on the number.
→ We pull it into one source of truth.
Manual reporting
Someone burns half a day every week copy-pasting numbers into a report nobody reads twice.
→ We automate it with live dashboards.
Questions you can't answer fast
"What's our customer acquisition cost?" should take ten seconds. Right now it takes two days and three apologies.
→ We build the dashboard that answers it on the spot.
Data quality nobody trusts
Duplicate records, missing fields, three different date formats. The numbers ship caveated.
→ We clean it up at the source so it doesn't come back.
Data Solutions
- 01Database design and optimization
- 02ETL pipelines and data integration
- 03Real-time analytics dashboards
- 04Business intelligence (BI) systems
- 05Data warehouse architecture
- 06Reporting and visualization
Data Technologies
- 01PostgreSQL, MySQL, MongoDB
- 02Snowflake, BigQuery, Redshift
- 03Apache Airflow, Prefect
- 04dbt (data build tool)
- 05Tableau, Metabase, Grafana
- 06Python (Pandas, NumPy)
What You Get
- 01Clean, normalized data architecture
- 02Automated data pipelines
- 03Interactive dashboards
- 04Scheduled reports
- 05Data quality monitoring
- 06Documentation and training
Dashboards we build often
Sales & revenue
- • Revenue trends, day, week, month
- • Customer acquisition cost and lifetime value
- • Sales broken down by product, region, or rep
- • Conversion funnel, end to end
Operations
- • Inventory levels with reorder alerts
- • Order fulfillment metrics
- • Team capacity and productivity
- • Cost per unit and margin tracking
Marketing
- • Campaign performance: ROAS, CPA, conversions
- • Traffic sources and attribution
- • Email engagement
- • Customer cohort analysis
How we work
A transparent, collaborative process. Built like an editorial calendar, not a Gantt chart.
Data audit
We map your current data sources, find the quality issues nobody wanted to look at, and name the questions you actually need answered.
Architecture design
Schema, ETL flows, and dashboard mockups lined up against the business questions you need to answer, not the ones a vendor wants to sell you.
Implementation
Pipelines plumbed in, databases stood up, dashboards built on real data instead of synthetic test rows.
Optimisation
We watch what gets used, add metrics that earn their place, and prune the ones that don’t.
Engagement models
We run several tracks depending on your stage and eligibility. Government programmes and impact funding cover part of qualifying data and analytics builds.
Start small, scale up.One focused dashboard that proves the value, then ETL pipelines and the warehouse underneath when you're ready.
Right-sized to the work. A single dashboard or a full BI stack. We match the build to the problem, not the other way round.
Book a free consultation. We'll tell you within a week if a programme fits.