Simplifying Fashion Supply Chains with the Denodo Platform


Uwe van Almsick
“When we looked at building a resilient data infrastructure for the next 10-20 years, the Denodo Platform clearly stood out among data virtualization vendors. It perfectly addresses our current needs, and we think it will do the same for our future needs.”
Uwe van Almsick Head of IT Business Solutions

The Bültel International Fashion Group is a global men’s and women’s fashion company. With its own brand, Calamar and hattric, as well as the licensed camel active collection, the company has been successfully established for more than 50 years. It has more than 2,000 employees.

Redefining the Data Architecture

Over the last few decades, Bültel has grown much faster than its data infrastructure, rendering its data infrastructure inefficient and insufficient to meet the demands of today’s transient markets. Data was often stored in legacy databases, in different formats, with no common naming conventions or referenceability. The only way to exchange data between the different data silos was by importing and exporting csv files, a highly inefficient process. Bültel needed to transform its data infrastructure, merging its data silos for a single point of truth, and enhance the data infrastructure’s capabilities to meet current and future data and analytics needs.

Driven by these needs, Bültel implemented the Denodo Platform and quickly integrated its “most wanted” data. The new infrastructure follows a three-tier architecture consisting of a data source layer, a business layer (built on the Denodo Platform for its data integration, data governance, and security capabilities), and a presentation layer. Bültel can now combine the data from different data sources, in near real time. For the first time, Bültel now has a single source of enterprise-wide information with the right security and data governance capabilities.


  • Website: www.bueltel.com
  • Industry: Retail
  • Location: Germany
  • Product: Denodo Platform

At a glance

Removed data silos and consolidated enterprise data.

Enhanced the overall agility of the data infrastructure to meet future business requirements.

Improved data quality and data governance.

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