RETAIL
DATA STRATEGY AND ANALYTICS
Omnichannel retailers have data everywhere and visibility nowhere. We build the single view that changes that.
Services
Data Centralisation
AI-Powered Dashboards
Data Strategy
Customer Analytics
Retailers operating across physical stores and ecommerce know the problem well: EPOS on one side, Shopify on the other, a loyalty platform in the middle, and no way to see the full picture. Weekly trading meetings run on spreadsheets that are already out of date. Dataverse replaces manual process with a live, unified data platform.
There were two sides to the business with no way to see them together. In trading meetings, someone would say online is up and someone else would say stores are quiet and nobody could tell if those things were connected. Now there is one screen that shows what is actually happening across the whole business.
6hrs
Weekly prep eliminated
3 sources
Unified into one warehouse
First time
True cross-channel customer view
The Challenge
Multi-channel retailers face a structural data problem: every system from EPOS to ecommerce platform to loyalty programme was built independently and produces its own metrics with its own definitions. A customer who buys in-store and online is treated as two different people. Stock levels shown online do not reflect what is on the shelf. Weekly reports are built manually, take hours, and are out of date before they are presented.
Weekly trading report taking 6 or more hours to compile and already stale on the day
Stock discrepancies between online and in-store causing oversells and lost sales
Cross-channel customers invisible with loyalty and purchase history not linked
No ability to identify which products, channels, or segments drive margin
The solution
Dataverse designed a unified retail data architecture connecting EPOS, Shopify, and loyalty systems into a central BigQuery warehouse via Fivetran and Airbyte. dbt models created a governed layer with standardised definitions for revenue, margin, returns, and customer lifetime value. Cross-channel customer identity resolution was implemented, linking in-store and online purchase history for the first time. A live trading dashboard was deployed in Looker Studio with automated daily digests replacing the manual report. Dagster scheduled, monitored, and alerted on all pipeline runs.
All retail channels unified in BigQuery and live, reconciled, and consistent
Cross-channel customer identity resolution linking in-store and online history
dbt semantic layer with clean definitions for margin, LTV, and returns
Automated daily trading digest replacing hours of manual preparation
Dagster orchestration with pipeline health monitoring and failure alerts