Unifying Product Data Analytics by Migrating to Snowflake
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What happens when product data needs to scale with retail growth?
A global retailer sought to improve how the product data flows across teams and channels. As Databricks pipelines expanded, ensuring consistent attributes, timely updates, and channel-ready information became increasingly important. The organization aimed to unify its product data foundation to improve decision-making, customer experience, and omnichannel accuracy.
Anblicks partnered with the retailer to modernize its product data stack by migrating from Databricks to Snowflake. We built a Snowflake-based Lakehouse architecture, automated pipelines with DBT and Airflow, enabled intuitive insights with Power BI, and introduced a Streamlit-driven quality monitoring layer to create a scalable and analytics-ready product data ecosystem.
Business Impact at a Glance
- 30% improvement in customer satisfaction through cleaner product data
- 25% faster product launch cycles with automated workflows
- One unified product data hub powering all retail channels
- Stronger supplier collaboration and improved inventory alignment
Download the success story to see how Anblicks unified product data and accelerated retail execution.