Business Intelligence for Retail Decision-Making
Delivering real-time, cross-channel insights that drive strategic and operational decisions in a fast-paced retail environment
Our Business Intelligence Consulting Services
We help organisations across sectors transform raw data into actionable intelligence. Whether you’re building from scratch or modernising legacy systems, we support the full BI lifecycle, from discovery to delivery.
- BI Strategy & Architecture Design
- Data Modelling and Semantic Layer Structuring
- ETL/ELT Pipelines and Data Integration
- Dashboard Development and Automation
- Self-Service BI Enablement and Training
- KPI Frameworks and Operational Analytics
Ready to Explore the Potential of Business Intelligence?
Whether you’re just getting started or scaling BI across departments, we help unlock the full value of your data through modern, tailored solutions.
Let’s discuss how Business Intelligence can work for you.
Business Intelligence Modernisation for Omnichannel Retail Insights
Empowering data-driven retail decisions through unified dashboards, real-time KPIs, and scalable BI infrastructure.
Client & Goal Overview
Client Type
Mid-size Retail Chain (Fashion & Home Goods, 120+ stores + e-commerce)
Challenge
The retailer operated with fragmented sales, inventory, and customer data across online and offline channels. Reporting was manual, inconsistent, and delayed, hindering timely decisions. The goal was to implement a centralised BI solution for omnichannel performance tracking and agile business decisions.
Our Role
We designed and delivered a complete BI architecture, including data ingestion, transformation, storage, and interactive dashboards. We supported process automation, enabled real-time KPIs, and trained internal teams to maximise adoption and self-service BI.
Project Journey & Results
Project Scope
- Unified multiple data sources (POS, e-commerce, CRM, ERP) into a cloud-based data warehouse.
- Developed real-time sales and inventory dashboards segmented by channel, region, and SKU.
- Automated reporting of key metrics: sell-through rate, inventory turnover, and basket size.
- Enabled category managers and regional leaders with role-specific insights and alerts.
- Supported forecasting and stock optimisation through integration with external demand signals (e.g., weather, holidays).
Technical Stack
- Data Integration: Fivetran + custom Python connectors
- Data Warehouse: Google BigQuery
- ETL/ELT: dbt (Data Build Tool)
- Visualization: Looker Studio + Looker (enterprise)
- Automation: Scheduled reporting via Slack & Email
- Security & Access: Row-level permissions with Google IAM
Results
- Reduced reporting lead time from 5 days to under 24 hours.
- Increased promotional ROI by 18% via targeted, timely actions.
- Improved inventory turnover by 22% through more accurate forecasting.
🟧 Achieved 360° view of customer behaviour across online and in-store touchpoints.
🟧 Empowered 30+ business users with self-serve dashboards.
🟧 Reduced data-related support tickets by 70% through standardised reporting.
Ready to explore Business Intelligence in your organisation?
✓ Discover how integrated BI solutions drive agile, data-informed decisions. ✓ Book a strategy consultation to assess your BI maturity, goals, and quick wins. Have a question or idea?
Explore Other Projects
Whether it's transforming data into strategic insight, deploying intelligent systems, or building scalable AI solutions, these projects reflect the diversity and depth of our consultancy work. Explore how we've partnered with clients to solve complex problems, unlock value, and drive innovation across sectors.
