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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.
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Case 1: Transforming the customer experience for the company.
Data Processing
The Prejudice:
The delivery service company has addressed us in order to optimize customer experience and improve the efficiency of customer support operations.
… The Decision:
We have introduced Power BI for comprehensive analysis and visualization of data related to customer satisfaction indicators and key performance indicators of customer support agents.
The Results:
1 . Customer satisfaction: Increase customer satisfaction by 25% thanks to personalized insights and data-based improvements.
The 2nd Efficiency of agents: Key KPIs for support services agents were monitored, which resulted in a 30% increase in overall operating efficiency.
The visualization:
Our Power BI visualization has converted complex delivery data into attractive and intuitively understandable dashboards. Real-time monitoring panels provide up-to-date information about the efficiency of service, the level of customer satisfaction and key indicators of the efficiency of agents.