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Call Centre Power BI dashboard using Advanced Excel, Power BI

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Call-Centre-Analysis

Project: Development of a Call Centre Performance Dashboard to Enhance Customer Service and Operational Efficiency

  • Project Overview:

Designed a Call Centre Performance Dashboard using Power BI to monitor key metrics related to customer service efficiency and agent performance. This dashboard provides a comprehensive view of call centre operations, enabling data-driven decisions to improve service quality and customer satisfaction.

  • Key Features:
  1. Call Handling Analysis: Tracked total calls, calls answered, and calls abandoned to understand call handling efficiency.

  2. Customer Satisfaction Monitoring: Provided insights into overall customer satisfaction scores, helping to identify areas for service improvement.

  3. Agent Performance Tracking: Analyzed individual agent performance through metrics such as average handle time, speed of answer, and calls answered, allowing for targeted training and support.

  4. Time-Based Call Distribution: Visualized call volumes by time to optimize staffing schedules and reduce wait times.

  5. Operational Insights: Included metrics like average speed of answer and issue resolution rates, highlighting opportunities to streamline processes and enhance customer interactions.

  • Key performance indicators (KPI's):

📈 Overall Customer Satisfaction:

  • Achieved a satisfaction rating of 3.40, showing room for improvement in enhancing customer experiences.

📞 Call Handling Efficiency:

  • Total Calls Answered: 4,054 (81.08% of all calls)
  • Calls Abandoned: 946 (18.92%), highlighting the need to reduce call abandonment rates.

⏱️ Average Speed of Answer:

  • Averaged at 67.52 seconds, a critical factor in customer satisfaction.

📊 Calls by Time: Monitored call volumes across months to identify peak times and optimize staffing levels:

  • January: 1,455 calls answered
  • February: 1,298 calls answered
  • March: 1,301 calls answered

🎯 Agent Performance Analysis:

  • Evaluated agents on Average Handle Time vs. Calls Answered to identify top performers and training needs. Example: Jim answered 536 calls with an average response time of 66.34 seconds.

  • Project Impact:

The dashboard enabled the call centre management to quickly identify performance gaps, optimize agent schedules, and implement targeted strategies to reduce call abandonment rates and improve overall customer satisfaction.

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Call Centre Power BI dashboard using Advanced Excel, Power BI

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