Skilled SharerTrucking Operations Analytics - From Data to Decisions
I’m excited to share this interactive portfolio project, a landing page that centralizes all operational analytics in one place. It's designed for both executives and operations leaders.
A 16-minute walkthrough of the solution is available on YouTube.
This report delivers an app-like experience with intuitive navigation, KPI scorecards, ranking logic, and scenario modeling across key operational domains including driver performance and tiering. The focus was not just reporting, but decision enablement by ranking drivers fairly, identifying unprofitable lanes, quantifying the cost of downtime, and supporting “what-if” operational scenarios.
Three year customer revenue history with YoY variance and CAGR calculation to support strategic financial planning and account prioritization. It also quantifies detention impacts using a 2-hour free wait policy and dynamic rate parameters. Which enables real-world analysis for evaluating contract terms, detention policies, and earnings impact. It's built with an end-to-end analytics first modeling, and C-suite executive ready visuals. Along with a complete documentation page defining all KPI formulas, owners, and data sources to ensure trust, transparency, and governance.
This solution demonstrates how Microsoft Fabric, a modern data platform can drive operational efficiency, cost optimization, and performance accountability at scale.
I’d value the community’s perspective on the following:
- Among the pages in this solution, which one delivers the strongest operational value, and what enhancement would you prioritize next?
- In your experience, should operational dashboards focus more on KPI tracking, or on explaining why performance is changing?
- If you were in the logistics industry, what’s the biggest hidden opportunities cost in trucking operations that analytics helped you uncover? Detention, Downtime, Fuel, or Something else?
Your insights will directly inform the next iteration of this solution.