BENCHMARKED - Data Warehousing for Fashion Brands

We build structured data foundations that turn fragmented systems into decision-ready intelligence.

In most fashion companies, data lives in silos. Shopify, ERP, paid media channels, retention tools, and analytics platforms all generate valuable information — but rarely in a unified structure. This fragmentation limits the ability to analyze performance holistically and make reliable decisions.

We design and implement centralized data warehouses in Google BigQuery that consolidate all relevant sources into a single, structured environment. This includes shop data, ERP systems, social media channels, paid advertising platforms, retention tools, and GA4. Through custom data pipelines, we ensure consistent data flows, clean aggregation logic, and scalable architecture.

The purpose of this infrastructure is not storage — it is usability. A centralized warehouse enables advanced product-level analysis, cost transparency, attribution modeling, forecasting, and dashboard creation. Whether the goal is improving cost control, gaining SKU-level performance clarity, or resolving tracking inconsistencies, the data foundation must be reliable and structured.

Our approach is tailored to fashion-specific requirements, where product hierarchies, variants, and seasonal dynamics require deeper logic than generic data setups. The result is a robust analytical backbone that supports marketing, assortment planning, and financial steering with consistent and trustworthy data.

We build structured data foundations that turn fragmented systems into decision-ready intelligence.

In most fashion companies, data lives in silos. Shopify, ERP, paid media channels, retention tools, and analytics platforms all generate valuable information — but rarely in a unified structure. This fragmentation limits the ability to analyze performance holistically and make reliable decisions.

We design and implement centralized data warehouses in Google BigQuery that consolidate all relevant sources into a single, structured environment. This includes shop data, ERP systems, social media channels, paid advertising platforms, retention tools, and GA4. Through custom data pipelines, we ensure consistent data flows, clean aggregation logic, and scalable architecture.

The purpose of this infrastructure is not storage — it is usability. A centralized warehouse enables advanced product-level analysis, cost transparency, attribution modeling, forecasting, and dashboard creation. Whether the goal is improving cost control, gaining SKU-level performance clarity, or resolving tracking inconsistencies, the data foundation must be reliable and structured.

Our approach is tailored to fashion-specific requirements, where product hierarchies, variants, and seasonal dynamics require deeper logic than generic data setups. The result is a robust analytical backbone that supports marketing, assortment planning, and financial steering with consistent and trustworthy data.