From 60 steps to three: high-volume data, made simple

Zeeman has kept things simple since 1967. A family-founded value retailer with more than 1,300 stores across Europe, it built one of the continent's best-known names on a single idea: good, affordable basics, run with real efficiency. When it turned to its data, the ambition was the same. Bring the simplicity Zeeman is known for to a data landscape that had grown large and complex.

That landscape was substantial. More than twenty different sources, years of reporting, and a stack of legacy warehouses, all feeding a high-volume retail operation. The goal was to get a real grip on that volume: one platform, quality built in, and complexity engineered down rather than worked around.

So we pioneered a Delta Lakehouse with Zeeman, one of the early builds of its kind. Twenty-plus sources brought onto a single platform designed for high volume, with data quality treated as a first-class concern rather than an afterthought. The aim throughout was less, not more: fewer moving parts, fewer places for errors to hide, lower cost to run.

The clearest proof was in the shape of the work itself. A flow that had grown to more than sixty steps was redesigned into a clean three-step execution. The same outcome at a fraction of the complexity, with errors and cost falling as the step count did. Simplicity, engineered in on purpose.

Zeeman now has a grip on its high-volume data that matches how it runs everything else: simply, at scale, and at low cost. The platform gives the business quality it can trust and room to grow without the complexity growing with it. The champions of basics are now champions of simple, high-volume data too.