Modernizing KPIs and Decision-Making for a Leading U.S. Logistics Company
A leading logistics company wanted to elevate how performance was monitored and governed across the enterprise. Leadership saw an opportunity to replace manual, request-based reporting with a unified, self-service analytics model built for scale
Partnering with Saxon, the company implemented a modern BI + data warehouse foundation that delivers trusted KPIs, faster insights, and real-time visibility into warehouse and operational activity—without disrupting business continuity.
The Goals
- Stand up a single BI + data warehouse platform leadership could rely on for decisions.
- Move from manual reporting to self-service analytics with governed KPIs.
- Deliver an iterative rollout so business teams start seeing value quickly.
What Saxon Enabled
Saxon worked alongside business and IT teams to:
- Build a centralized BI + warehouse foundation with governed KPI cataloging
- Create executive dashboards with drill-downs, geolocation, and trend analytics
- Enable business-ready self-service for faster, independent decision-making
- Operationalize real-time warehouse insights across multiple domains
Impact Delivered
- Faster, streamlined insights for senior leadership, minimal manual effort
- Trend and KPI analytics that materially influenced operational decisions
- Self-service intelligence surfacing systemic optimization opportunities
- Live operational views across warehouses (trends, locations, filters, drill-downs)
Curious how it was done end-to-end?
This case study includes the architecture, KPI catalog, and rollout blueprint used to scale analytics without operational risk.
Download the full case study to see the transformation in detail.
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