Project Overview
We built a real-time analytics dashboard that consolidates data from 15+ sources — POS systems, e-commerce platforms, inventory, CRM, and marketing channels — into actionable visual insights for a retail chain with 50+ outlets across Indonesia.
The client struggled with fragmented reporting: each store used different POS systems, online sales came from multiple e-commerce platforms, and marketing data lived in separate tools. Managers spent hours compiling weekly reports manually. Our solution involved building a centralized data warehouse that ingests data from all sources via automated ETL pipelines. We designed interactive dashboards using Metabase with custom visualizations for sales performance, inventory turnover, customer segmentation, and marketing ROI. The system includes automated alerting for anomalies (sudden sales drops, stock-outs) and scheduled report delivery via email and WhatsApp.
Challenges
Consolidating data from 15+ heterogeneous sources with different formats, update frequencies, and data quality levels.
Achieving sub-3-second dashboard load times while processing millions of transaction records daily.
Designing visualizations that are intuitive for non-technical retail managers while providing depth for data analysts.
Solutions
Built a centralized data warehouse with automated ETL pipelines that sync all data sources every 15 minutes with error handling and data validation.
Implemented materialized views, caching layers, and query optimization to achieve sub-3-second load times on complex aggregations.
Created automated anomaly detection with configurable thresholds, alerting via email/WhatsApp, and scheduled PDF report delivery.
Data-Driven Decision Making
Report generation time dropped from 8 hours/week to real-time. Store managers now identify underperforming products within hours instead of weeks. Marketing budget allocation improved by 35% through channel attribution analytics.
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