Case 2: Improving the quality of airline passenger service
Data Processing
The Prejudice:
The airline has contacted us to improve the quality of passenger service and improve operational efficiency through data analysis.
The Decision:
We have introduced Power BI to analyze and visualize data related to passenger complaints, call analysis and KPI customer support agents.
The Results:
1 . Improvement of response time: A significant reduction of response time has been achieved by 15%, which provides fast and effective assistance to passengers.
The 2nd Agent work optimization: Target improvements have been carried out, which have led to an increase in agent work efficiency by 10%, which has allowed to improve the quality of service provision.
The airline has contacted us to improve the quality of passenger service and improve operational efficiency through data analysis.
The Decision:
We have introduced Power BI to analyze and visualize data related to passenger complaints, call analysis and KPI customer support agents.
The Results:
1 . Improvement of response time: A significant reduction of response time has been achieved by 15%, which provides fast and effective assistance to passengers.
The 2nd Agent work optimization: Target improvements have been carried out, which have led to an increase in agent work efficiency by 10%, which has allowed to improve the quality of service provision.