Practical Problems. Thoughtful Solutions.
Explore how operational data can support clearer business decisions. The BrightPath case study brings together performance reporting, demand forecasting, quality reviews, and data validation.
This independent portfolio project uses synthetic data and a fictional business. It demonstrates my approach, tools, and recommendations rather than results from a real client engagement.
BRIGHTPATH SUPPORT SERVICES
Seeing the Bigger Operational Picture
How can leaders identify performance risks, plan for changing demand, and decide where to focus?
This case study examines five simulated client programs through service-level analysis, workforce forecasting, quality reviews, and data validation. The findings connect operational metrics to practical management decisions, with assumptions and limitations clearly documented.
Focus: Performance reporting · Demand forecasting · Operational risk
WILLOW CAFÉ
Finding the Hours and the Waste Hiding in a Weekly Report
Where is a small café overstaffed, understaffed, or throwing money away, and what would change first?
This case study uses eight weeks of synthetic hourly sales, staffing, and waste data. It compares labor to sales by hour, tests a staffing scenario, and traces a waste spike to its source, with assumptions and checks clearly stated.
Focus: Labor and staffing · Weekly sales trend · Waste and cost control