Enteros UpBeat for Insurance

Case Study: Transforming Database Performance for a Leading Insurance Provider with Enteros UpBeat

Background

A major insurance provider—recognized as a leader in the financial services sector—was grappling with severe and unpredictable performance issues in its SQL Server environment. These disruptions were not only undermining operational stability but also threatening customer satisfaction and retention due to delayed claims processing and service interruptions.

The Challenge

• Complex SQL Server Infrastructure: The client’s core systems relied on a network of SQL Servers that powered critical policy, claims, and underwriting functions.

• Unexplained Performance Spikes: The organization faced sporadic and untraceable spikes in database performance, with traditional monitoring tools unable to detect the underlying causes.

• Ineffective Root Cause Analysis: Despite leveraging tools like Idera and SQL Server Management Studio (SSMS), the IT team struggled to uncover the source of recurring lockups and outages, leading to increased downtime and rising support costs.

Enteros UpBeat Approach

Enteros deployed its patented SaaS platform—Enteros UpBeat—to proactively address these challenges. The platform’s unique capabilities in real-time data collection and advanced statistical analysis proved instrumental in resolving the issue quickly and effectively.

• Granular System Instrumentation: Enteros UpBeat collected high-frequency performance data—every 3 seconds—across the operating system, SQL Server databases, and storage subsystems, providing unmatched visibility into real-time behaviors.

• Advanced Statistical Learning: Our platform applied multivariate statistical models to correlate performance anomalies with patterns in locking, wait events, and transaction flows across the environment.

Discovery and Resolution

• Uncovering Lock Escalation Patterns: Enteros UpBeat identified a recurring pattern of lock escalations that occurred during specific peak periods—most notably when users returned from lunch breaks and resumed operations simultaneously.

• Pinpointing System-Wide Blockages: These lock escalations were causing cascading delays and, in some instances, complete system blockages that were previously undetected by standard tools.

• Implementing a Targeted Fix: By optimizing data access patterns and addressing the triggers of lock escalation, Enteros UpBeat enabled the client to eliminate the root cause of the outages—restoring system stability and performance.

Key Results

• Rapid Time to Resolution: The core issue was fully identified and remediated in less than 24 hours—demonstrating Enteros UpBeat’s unmatched speed in diagnosing and resolving complex database performance issues.

• Cost Avoidance and Operational Savings: The client avoided substantial financial losses related to potential revenue disruption and high IT support costs. Maintenance overheads and incident response efforts dropped significantly.

• Improved System Reliability: Post-implementation, the system showed consistent and reliable performance with no recurrence of the previous performance anomalies. This stability reduced the risk of downtime and future escalations.

• Enhanced Workflow Efficiency: With database bottlenecks eliminated, business-critical processes such as policy issuance and claims resolution were accelerated—boosting customer service levels and throughput.

• Optimized Resource Utilization: Enteros UpBeat’s recommendations reduced the need for additional SQL Server instances and cloud resource scaling. This led to lower infrastructure costs and better cloud FinOps alignment.

• Increased Employee Productivity: IT and operations staff could now focus on high-value initiatives rather than firefighting system issues. Productivity improved across teams, and staff no longer had to endure time-consuming troubleshooting.

Conclusion

This engagement illustrates Enteros UpBeat’s ability to deliver immediate and lasting value in high-stakes enterprise environments. By combining real-time granular monitoring with patented statistical learning algorithms, Enteros UpBeat not only resolved deeply rooted database issues but also helped the client realize substantial cost savings, improved operational efficiency, and better customer service outcomes.

For insurance providers navigating the pressures of digital transformation, regulatory compliance, and rising customer expectations, Enteros serves as a strategic partner—empowering FinOps and IT leaders to maximize the performance, scalability, and financial efficiency of their data infrastructure.