Real problems. Real results.
This is what turning messy data into clear, automated insight looks like in practice.
All industries
E-commerce & tech
Logistics
Manufacturing
Financial services
Logistics
90%
less time spent on month-end reporting
The missing link between financial and operational data
We linked Meeder Group’s finance and operational systems and gave finance margin detail per customer, product and entity in Power BI.
Meeder Group
E-commerce & tech
6 mo
from zero to insight on churn, LTV and margin
A partnership that makes scents
Parfumado was growing across five European countries but deciding in the dark. We integrated 10+ source systems into one source of truth.
Parfumado
Logistics
10x
more data available, 90% shorter reporting timelines
From reporting delays to real-time financial insight
Rent-All’s platform couldn’t keep pace with growing data volumes. We rebuilt the foundation and cut reporting timelines.
Rent-All
E-commerce & tech
3 wks
from kick-off to first automated insights
One platform, five sales channels, full clarity
STOX relied on Excel and manual exports across five channels. Now contribution margin by channel and country is live.
STOX Energy Socks
Manufacturing
50+
hours of downtime prevented every year
From gut feel to data-driven plant management
A high-tech food plant needed more output but couldn’t see its bottlenecks, or measure the effect of fixes.
Food production plant
Logistics
100%
traceability of data in key management reports
When your data can’t be trusted
With 3,500+ cars on the road, Greenwheels needed insight but had clashing KPI definitions and slow legacy tooling.
Greenwheels
E-commerce & tech
3
connected tools for past, present and future profitability
High-level numbers show sales. Detail shows profit.
After ten years of growth, new customers were declining and margins were under pressure at On That Ass.
On That Ass
E-commerce & tech
2 wks
from first contact to a consultant contributing
Your data roadmap can’t wait for the perfect hire
Mid-migration, YoungOnes needed a specialist who could step in and deliver quickly.
YoungOnes
See yourself in one of these stories?
Let’s discuss your data problems and start solving them together.