Fragmented ecommerce data limited decision-making
Analytics teams struggled to derive actionable insights from Salesforce data split across legacy and new ecommerce systems, slowing reporting and pricing decisions.
We unified analytics across systems
A centralized analytics layer was built to combine legacy and new ecommerce data, enabling consistent reporting and comparative analysis.
Cloud-native analytics pipeline
Salesforce data was ingested into Snowflake as the central warehouse, with transformation layers built to normalize metrics across systems and expose analytics-ready datasets.
Clear visibility across ecommerce platforms
Teams gained reliable performance comparisons between systems, enabling more informed pricing and operational decisions.
