Case Studies
Six real Power BI projects — the problem each client brought me, what I built, and why it worked. Each one links to the full write-up.
Logistics Performance Dashboard
The problem: A logistics company (similar to DHL) had data scattered across multiple systems, no single source of truth, and slow, reactive decision-making.
What I built: A real-time Power BI dashboard giving executives a 30-second view of business health, and giving operations teams enough detail to spot bottlenecks and improve daily execution.
Service Desk Performance Dashboard
The problem: An IT outsourcing provider needed to prove the value of their service desk work, but ticket data was scattered and tracked mostly by hand.
What I built: A centralized dashboard covering ticket volume, SLA compliance, priority trends, and agent workload — a simple, visual way for non-technical stakeholders to see the team’s performance.
Toy Store Sales & Operations Dashboard
The problem: A toy store chain was making purchasing and inventory decisions on gut feeling, with sales and stock data spread across disconnected systems.
What I built: A unified dashboard connecting sales trends, stock levels, and seasonality, so managers could catch overstock and stockouts before they hurt revenue.
Air Quality Index Dashboard — Belgrade
The problem: Belgrade’s city IT & Data Office had air-quality readings scattered across separate monitoring stations, with no unified view of current conditions.
What I built: An automated dashboard that pulls hourly readings from every station via API into one live model — the foundation for a future public-facing air-quality tool.
Fitness Progress Dashboard
The problem: A fitness coach tracked client progress across scattered spreadsheets and handwritten notes, with no clean way to show clients real results.
What I built: A centralized, automated dashboard visualizing weight, body composition, and transformation over time — a professional way to prove progress and support client retention.
Real Estate Dashboard
The problem: A real estate team tracked prices, sales, and market trends by hand in Excel, making decisions slow and based on gut feeling rather than data.
What I built: A real-time dashboard covering price trends, top-performing locations, average time-to-sell, and revenue by property type.
Have a similar problem?
Tell me what you’re working with and I’ll tell you honestly whether a dashboard like these would help.