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📞 Call Centre Data Report

📌 Project Overview

This project features a clean, interactive Call Centre Dashboard built in Microsoft Excel to analyze call volume, revenue, agent performance, and customer satisfaction, delivering actionable business insights


🎯 Project Objectives

  • Analyze call volume, revenue, duration, and customer ratings across representatives and cities
  • Identify peak call periods, top performing agents, and gender wise caller distribution
  • Build a fully interactive dashboard for dynamic analysis
  • Deliver actionable insights to improve call centre efficiency and service quality

🛠️ What I Built

  • Fully interactive dashboard using Pivot Tables, Pivot Charts, and Slicers
  • Data modelling by connecting 2 tables with relationships
  • Monthly and weekday call trend analysis
  • Performance analysis by representative (R01–R05), city, and time periods
  • Dynamic highlighting based on slicer selection

⚠️ Challenges & Solutions

Challenges:

  • Unstructured raw data spread across multiple tables
  • Difficulty in visually highlighting selected representative data
  • Implementing dynamic color changes across charts and KPIs based on slicer selection

Solutions:

  • Built proper data model and created calculated measures using Excel formulas
  • Added conditional columns for better analysis
  • Used PivotTables with conditional formatting to achieve dynamic highlighting effect when a filter is selected

📊 Key Insights

  • Total 1,000 calls generated $96,623 in revenue
  • Average customer rating is 3.9 with 307 happy callers
  • Peak call activity observed in March and April
  • Most ratings are concentrated at 4–5 stars
  • R02 is the top-performing representative
  • Cleveland shows strong overall performance
  • Some representatives generate higher revenue even with fewer calls

💡 Business Recommendations

  • Replicate strategies of top performers like R02 and provide targeted training for others
  • Run campaigns or special offers during low call months (January, July, August) to increase volume
  • Focus on improving lower ratings through better customer handling training
  • Encourage upselling to increase revenue per call
  • Use this dashboard regularly to check performance and find problems quickly

🖼️ Dashboard Preview

image

🚀 How to Use

  • Download the Excel file
  • Open in Microsoft Excel
  • Use slicers to filter by representative
  • Observe dynamic highlighting across visuals
  • Explore insights interactively

📌 Future Improvements

  • Add call resolution metrics
  • Include customer segmentation
  • Build Power BI version
  • Add predictive analysis

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Interactive Excel dashboard analyzing call centre data to track call volume, revenue, customer satisfaction, and representative performance using pivot tables, data modeling, and slicers.

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