Turn your data into decisions you can defend.
Pipelines 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 files on someone's desktop. Nobody can agree on the number.
What we do: 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.
What we do: automate it with live dashboards.
Questions that take too long
"What is our customer acquisition cost?" should take minutes. Right now it takes two days and three apologies.
What we do: build the view that answers it on the spot.
Data nobody trusts
Duplicate records, missing fields, three date formats. The numbers always ship with a caveat.
What we do: clean it at the source so the mess does not return.
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 sources, name the quality problems, and write down the questions you need answered.
Architecture design
Schema, pipelines, and dashboard sketches lined up against those questions, not a vendor feature list.
Implementation
Pipelines connected, databases in place, dashboards on real data instead of fake demo rows.
Tuning
We watch what gets used, add metrics that earn their place, and drop the ones that do not.
Engagement models
We run several tracks depending on your stage and eligibility. Government programmes and impact funding can cover part of qualifying builds.
Start with one clear win. A focused dashboard that proves value, then pipelines and warehouse work when you are ready.
Sized to the problem. One report or a full BI stack. We match the build to the questions you need answered.
Book a consultation. We will tell you within a week if a programme fits.