Everyone wants a modern, AI-powered data architecture – but almost no one actually has one. The GOLDNER Fashion Group, a long-established mail-order and multichannel retailer specializing in women's fashion for the 50+ age group, illustrates just how vast this gap is: from a data team stuck in manual maintenance mode 80% of the time to 80% free capacity for value creation; from error-prone reports at lunchtime to reliably validated business figures before 6:00 a.m.; from a rigid legacy BI black box to LLM analytics and AI use cases that deliver measurable savings in advertising and printing costs.
Together with minubo, Goldner built a hybrid BI solution: a standardized e-commerce data model plus its own extended data warehouse – with cleanly modeled, semantically enriched data as the foundation for reliable LLM analytics. Marcus Anton, CEO of the GOLDNER Fashion Group, explains in the paper why the team now has control over its data logic again and what the AI-ready architecture looks like in concrete terms.
ca. 30 Minuten
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