From scattered reports to one reliable data platform
The LEGO Group needed a clear, reliable picture of e-commerce performance across dozens of retail partners and markets. Data from Google Universal Analytics and GA4 was available — but in different formats, at different levels of detail and with no central system to bring it together. Teams were spending significant time on manual processing just to make the data partially usable for strategic decisions. We developed a BI platform that automatically collects, cleans, standardises and visualises that data — giving performance managers one dependable source to base their strategy on.
Fragmented data, inconsistent formats and strict privacy constraints
LEGO's retail partners delivered reports and exports in different formats, at different intervals and with varying levels of detail — making performance comparisons across e-shops and markets complicated and time-consuming. There was no unified data model, no automation and no secure way to share data that guaranteed everyone was working from the same reliable numbers.
There was also a fundamental privacy constraint: retailers couldn't give LEGO open access to their analytics, because doing so would expose commercially sensitive data about competitor products sold alongside LEGO's own range. Any solution had to collect exactly the right data — and nothing more.




