{"id":4212602,"date":"2023-11-08T17:04:32","date_gmt":"2023-11-08T15:04:32","guid":{"rendered":"https:\/\/www.deptagency.com\/case\/data-transformation-that-established-a-cross-brand-vision\/"},"modified":"2023-11-20T13:55:02","modified_gmt":"2023-11-20T11:55:02","slug":"data-transformation-that-established-a-cross-brand-vision","status":"publish","type":"case","link":"https:\/\/www.deptagency.com\/en-dk\/case\/data-transformation-that-established-a-cross-brand-vision\/","title":{"rendered":"Data transformation that established a cross-brand vision"},"content":{"rendered":"
\n\t\n\t<\/svg>\n\t\n<\/a>\n\t\tTailored Brands\t<\/h2>\n\t\tData transformation that established a cross-brand vision\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\tTailored Brands is a leading omnichannel retailer that delivers personalized products and services through a network of stores and e-commerce sites. Their brands include JoS. A Bank and Men\u2019s Warehouse, among others.\u00a0

Tailored Brands found its analytics infrastructure outdated, slowing business decisions. They came to DEPT\u00ae with a clear challenge \u2013 to modernize their data infrastructure to keep up with the fast-paced industry changes.\t<\/p><\/div>\n\n
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\n\t\t\n\t\tOutdated system challenges\t<\/h2>\n\t\t\t\t\t
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\n\t\tTailored Brands wanted a modern system that would co-locate internal data (transactions, products, etc.) with data generated in external systems for marketing purposes. They also wanted to create a set of processes that would make it agile and highly responsive to the needs of business users.

This was accompanied by the challenge of increasing the data warehouse capacity, as traditional expansion methods were expensive and slow. Also, since the brand used multiple versions of ETL pipelines (extract, transform, and load), this had a critical downstream impact on analytics.\u00a0

For instance, updating business rules was complex and time-consuming, often taking several quarters. It also caused frequent data quality issues and loss of trust in data accuracy.\t<\/p><\/div><\/div>\n\t\t\t<\/div>\n\t\t\t<\/div>\n\n\t\n\t