{"id":4107954,"date":"2022-06-27T10:14:51","date_gmt":"2022-06-27T08:14:51","guid":{"rendered":"https:\/\/www.deptagency.com\/?post_type=case&p=4107954"},"modified":"2023-07-25T10:49:14","modified_gmt":"2023-07-25T08:49:14","slug":"a-modern-data-stack-for-douglas","status":"publish","type":"case","link":"https:\/\/www.deptagency.com\/en-dk\/case\/a-modern-data-stack-for-douglas\/","title":{"rendered":"A modern data stack for Douglas"},"content":{"rendered":"
\n\t\n\t<\/svg>\n\t\n<\/a>\n\t\tDouglas\t<\/h2>\n\t\tA modern data stack for Douglas\t<\/h1><\/div>\n\n\n\n\t\t\t\n\t\t\t\n\t\t\t\n\t\t\t\n\t\t\t\n\t\t<\/picture>\n\t\n\t<\/div>\n\n
\n\t\n\t\tTo be successful in today’s e-commerce world, a scalable business intelligence solution for product, marketing and customer analysis is essential. Recognising this, Douglas – Europe’s leading platform for premium beauty and health products – turned to DEPT\u00ae to act as a service provider, enabler and partner in the development of a central data platform.<\/em>\t<\/p><\/div>\n\n
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\n\t\t\tData Depsters\t<\/h2>\t<\/div>\n<\/div><\/div><\/div>\n\n
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\n\t\t\t\u00a01.5 B\t<\/h2>\t<\/div>\n\n\t
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\n\t\t\tData rows per month from 30+ data sources\t<\/h2>\t<\/div>\n<\/div><\/div><\/div>\n\n
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\n\t\t\t6k\t<\/h2>\t<\/div>\n\n\t
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\n\t\t\tworking hours\t<\/h2>\t<\/div>\n<\/div><\/div><\/div>\n<\/div>\n\n
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\n\t\t\n\t\tThe starting position\t<\/h2>\n\t\t\t\t\t
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\n\t\tWhen DEPT\u00ae\u2019s data team first started working with Douglas two years ago, the brand had an evolved IT infrastructure with a database that was difficult to scale, slow processes and static tools. It needed an overhaul, to ensure Douglas could benefit from a modern, fast, scalable and flexible data stack.\u00a0

As the performance capacity of the existing system was limited, certain analyses could not be carried out to the desired extent and depth. In addition, there was an enormous manual effort in reporting because data from different countries and companies had to be merged. In particular, analyses that required a combination of data (e.g. tracking and marketing data), from different tools took a long time before insights could be gained.\t<\/p><\/div><\/div>\n\t\t\t<\/div>\n\t\t\t<\/div>\n\n\t\n\t