Dashboard VII
Dashboard 7: Delivery Dataset
Problem Statement
The goal is to analyze delivery trends, operational efficiency, and customer satisfaction by examining key metrics such as delivery delays, courier performance, issue resolution time, and repeat customer behavior. This dashboard will help identify bottlenecks in delivery processes and provide actionable insights to improve efficiency.
Key Performance Indicators (KPIs)
Average Delivery Delay
Definition: Measures the average time deliveries are delayed beyond their expected delivery time.
Visualization: Line chart to track trends over time.
Courier Performance Rating
Definition: Tracks the percentage of deliveries completed on time by couriers.
Visualization: Bar chart by courier ID or region.
Issue Resolution Time
Definition: Tracks the average time it takes to resolve delivery issues.
Visualization: Table with region and issue categories.
Delivery Cost Efficiency
Definition: Tracks the average cost per delivery.
Visualization: Heatmap to show cost distribution by regions.
Repeat Customer Percentage
Definition: Measures the proportion of customers who have made multiple orders.
Visualization: Pie chart with repeat vs. new customers.
Filters and Slicers
Date Range: Filter data by specific time periods (days, weeks, or months).
Delivery Regions: Analyze data by geographic regions.
Courier IDs: Drill down into courier-specific performance.
Delivery Time Windows: Morning, Afternoon, Evening slots.
Customer Segments: New vs. Repeat customers.
Dashboard 7: Pickup Dataset
Problem Statement
To evaluate the efficiency of the pickup process by monitoring courier utilization, adherence to schedules, and task allocation. The dashboard will identify areas for improvement and optimize courier operations.
Key Performance Indicators (KPIs)
Average Pickup Delay
Definition: Measures the average delay in pickup operations.
Visualization: Line chart for delay trends.
On-Time Pickup Percentage
Definition: Measures the percentage of pickups completed within the assigned time window.
Visualization: Bar chart by courier or region.
Task Allocation Efficiency
Definition: Tracks how well tasks are distributed among couriers.
Visualization: Stacked bar chart by courier.
Pickup-to-Drop Ratio
Definition: Measures the balance between the number of pickups and drops completed.
Visualization: Scatter plot to compare couriers.
Courier Utilization Efficiency
Definition: Tracks the percentage of courier working hours utilized.
Visualization: Line chart by courier.
Filters and Slicers
Date Range: Filter by specific days, weeks, or months.
City: Analyze pickups by city.
Courier IDs: View performance and utilization per courier.
Pickup Time Windows: Morning, Afternoon, Evening slots.
Task Types: Separate analysis by pickup categories.
General Notes for Both Dashboards
Validate Data: Ensure the dataset is clean and contains no missing or duplicate values before building the dashboards.
Visualization Tools: Use Power BI or Tableau to create user-friendly, interactive dashboards.
Export Reports: Allow exporting insights into PDF or Excel for presentations.
Trendlines: Add trendlines for a deeper understanding of data over time.
Annotations: Highlight anomalies or key insights directly on the dashboard.
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