How we helped NexusMart Retail Group modernize their data infrastructure, automate reporting, and unlock predictive analytics to drive $1.8M in annual savings.
NexusMart operated across 120+ physical stores and a rapidly growing e-commerce platform. Despite generating millions of transactions daily, leadership struggled to make timely decisions due to fragmented data systems.
Reports were manually compiled in Excel, taking up to 5 business days. Inventory discrepancies cost the company hundreds of thousands monthly, and customer segmentation relied on outdated demographic proxies rather than behavioral data.
DataPulse designed a cloud-native analytics ecosystem that unified all data sources, automated ETL pipelines, and deployed interactive dashboards alongside predictive models for inventory and customer behavior.
Mapped 14 legacy systems, identified data quality gaps, and defined KPI alignment with executive stakeholders.
Deployed Snowflake data warehouse, built dbt transformation layers, and automated daily ingestion via Fivetran.
Developed Power BI dashboards for executives/store managers and trained ML models for demand forecasting.
Conducted role-based training, validated accuracy against legacy reports, and established monitoring SLAs.
Implemented a real-time streaming pipeline using Apache Kafka that reduced inventory discrepancy resolution time from 48 hours to under 90 minutes.
Within 90 days of full deployment, NexusMart experienced transformative improvements across operations, finance, and customer experience.
"DataPulse didn't just build us dashboards—they fundamentally changed how we make decisions. The predictive inventory model alone paid for the entire engagement within six months. They're now our long-term analytics partner."
Let's discuss how DataPulse can help your organization unlock actionable insights and drive measurable growth.