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Call center analytics: How Asurion uses JMP to unlock customer insights
Asurion uses JMP to analyze millions of call center interactions and uncover key customer insights. Discover how advanced analytics improves efficiency, categorization, and decision-making at scale.
This case study highlights how Asurion transformed its approach to analyzing massive call center datasets using JMP. By moving beyond traditional tools like Excel, the team was able to process millions of data points, categorize customer call drivers, and uncover meaningful patterns using text analytics. These insights enabled better process control, improved customer experience, and stronger alignment between technical teams and leadership, all while increasing efficiency and scalability across global operations.
Key Takeaways
- JMP enables fast visualization and exploration of large datasets
- Text analytics helps uncover themes and patterns in customer call transcripts
- Categorizing call drivers allows for deeper KPI analysis and insights
- Data-driven process controls help identify acceptable vs. unacceptable variability
- JMP supports both quick analysis and advanced statistical modeling
- Collaboration and shared visuals improve team learning and engagement
- Leadership benefits from clearer, more accessible data insights
Returns on Investment (ROI)
- Handles millions of data points without performance issues
- Reduces time spent analyzing large datasets compared to Excel
- Improves operational efficiency in call center analysis
- Enables faster identification of customer issues and trends
- Enhances decision-making with clearer, data-driven insights
- Supports scalable analytics without needing new tools as the company grows
- Bridges the gap between technical analysis and executive understanding
- Increases productivity through faster data exploration and visualization
