Big data architecture
Hadoop, Spark and Flink platforms that handle volume without falling over.
Big data · Advanced analytics
Big data and analytics services
Dashboards people open every morning, and forecasts they act on. We build the data platform and the analytics on top, sized for millions of rows or billions.
A dashboard is only useful if someone acts on it
Plenty of companies have a BI tool full of charts nobody looks at. The numbers arrive a day late, they don’t match the finance report, and nobody can click through to see why a number moved.
We start from the decisions people make each week and work backwards to the data they need. Then we build the pipelines, the metrics everyone agrees on and dashboards that drill down to the records behind each number. When the basics are solid, we add forecasts and recommendations.
- Metrics everyone agrees on
- Drill down to the records
- Real-time where it matters
- Forecasts on top
What we build
BI dashboards
Clear dashboards that drill down to the orders, customers or devices behind each number.
Predictive analytics
Forecasts for demand, churn, delays or failures, with the accuracy shown.
Prescriptive analytics
Recommendations on what to do next, not just what happened.
Custom KPIs
One agreed definition for every metric, so finance and sales see the same number.
Warehousing and reporting
Reliable pipelines and scheduled reports that land on time.
Analytics in production
LogisticsRead the case study Wine and agricultureRead the case study DronesRead the case study
Formula2Ship
A shipping command centre with a live view of 18,000+ shipments across couriers, zones, COD and returns. Every chart drills down to the orders behind it.
18K+shipments in one live view
29,000pincodes covered
The Wine Group
One of the world’s largest wine companies moved from spreadsheets to AI forecasts, a CRM with a support desk, and IoT across its vineyards and warehouses.
−20%annual losses in year one
1 yearfrom Excel to AI forecasts
US drone maker
Mission control and AI defect detection in one end-to-end drone intelligence platform for a leading US drone manufacturer.
AIdefect detection
End to enddrone intelligence platform
How we work
- 1
Start with decisions
Which decisions should data inform, who makes them and how often.
- 2
Agree the metrics
One definition for each KPI, written down and signed off.
- 3
Build pipeline and dashboards
Data flowing reliably, with dashboards people test in their real work.
- 4
Add prediction
Forecasts and recommendations once the history is clean and trusted.
Questions we often get
When do we need big data tools?
When the data no longer fits comfortably in one database, or has to be processed in real time. Below that, simpler tools are cheaper and easier to run, and we’ll tell you so.
Which BI tool do you use?
We work with the common BI tools and also build custom dashboards into your own apps. We choose based on who uses it and where.
What’s the difference between predictive and prescriptive analytics?
Predictive analytics forecasts what is likely to happen, like next month’s demand. Prescriptive analytics suggests what to do about it, like how much stock to order and where.
Can you work with our existing data warehouse?
Yes. We often build on what’s there and fix the pipelines and definitions before adding anything new.
What does an analytics project cost?
It depends on the data sources, volumes and number of dashboards. After a free 30-minute call we send a plan and estimate, usually within a week.
Tell us what you’re building
A senior engineer will reply within one business day.