Industry :

Insurance & Financial Services 

The Challenge

The client’s secure, integrated application supported core business functions such as claims management, recovery tracking, severity analysis, and branch-level operations. However, they faced:

• Performance issues in Tableau dashboards, causing delays in accessing critical insights.
• The need to develop multiple reports and dashboards to analyze claims, severity, and probability thresholds across various locations.
• Limited ability to dynamically adjust and analyze recovery metrics based on different operational parameters.

The Solution

The engagement focused on re-architecting and optimizing the BI reporting framework. Key initiatives included:

1. Data Aggregation & Visualization
   • Designed and implemented optimized data aggregations for Tableau Dashboard and Tableau Server to handle large datasets efficiently.
   • Created interactive reports for claims, severity, and recovery probability analysis.
2. Predictive Recovery Model
   • Built a model to predict claim recovery probability, categorizing claims into recovery probability buckets for proactive follow-up.
3. Dynamic Analysis Parameters
   • Introduced parameters for Loss Amount, Recovered Amount, Recovery Probability, and Probability Threshold to allow flexible, scenario-based analysis.
4. Quality & Performance Improvements
   • Developed quality-check reports to validate aggregated data accuracy.
   • Resolved a large backlog of critical reporting issues.
   • Performance-tuned slow-running dashboards and recommended database design changes to improve query speed.
5. Stakeholder Collaboration
   • Worked closely with business teams to gather evolving requirements and implement enhancements iteratively.

Business Impact

• Improved Decision-Making : The predictive recovery model enabled data-driven prioritization of recovery efforts, leading to faster claim resolution.
• Increased Reporting Efficiency : Dashboard load times were reduced by over 60%, enabling real-time access to operational insights.
• Operational Flexibility : Dynamic parameters empowered analysts to explore multiple recovery and loss scenarios without additional development effort.
• Enhanced Data Reliability : Quality validation processes ensured higher accuracy in financial and operational reporting.
• Scalable Architecture : The optimized design allowed easy addition of new reporting dimensions and metrics in the future.

Technology Environment  

• BI & Visualization: Tableau Desktop, Tableau Server
• Database: SQL Server 2008