📊 Logistics Risk Intelligence Dashboard (Power BI) 🔍 Project Overview

This project is a Power BI dashboard designed to analyze logistics risk events using structured datasets. It focuses on identifying risk patterns, tracking disruptions, and visualizing regional and time-based trends affecting logistics operations.

🎯 Objective

To analyze logistics-related risk data and provide actionable insights on:

Risk severity levels Regional impact of disruptions Time-based trends in logistics risks Pattern identification for decision-making 🛠️ Tools & Technologies Power BI Excel (Data preprocessing) SQL (Data structuring concepts) Data Visualization Data Analysis 📊 Dashboard Features KPI cards for total risk events Risk severity analysis (High / Medium / Low) Region-wise risk distribution Time-series trend analysis Risk type categorization Interactive filters and slicers 📁 Dataset Description

The dataset includes logistics-related risk events such as:

Date of event Region / Location Risk type (Accident, Weather, Strike, etc.) Severity level Description of disruption 📈 Key Insights Identified regions with frequent logistics disruptions High severity risks were mainly caused by transport strikes and weather conditions Seasonal trends observed in logistics risk occurrences Certain regions showed recurring risk patterns 📌 Project Outcome

This dashboard helps in understanding logistics risk behavior and supports better decision-making through data-driven insights.

👩‍💻 Author

Rohini Seelam 📧 rohini520741@gmail.com

🔗 GitHub: Rohini2431