facebook
Home > Case study > How Qinfinite’s Event Intelligence Solutions Helped Leading a Manufacturing Company Reduce Mean Time to Resolve (MTTR) by 60% 

How Qinfinite’s Event Intelligence Solutions Helped Leading a Manufacturing Company Reduce Mean Time to Resolve (MTTR) by 60%

Add Your Alt Name

About the Client:

A leading manufacturing company faced significant challenges in managing its increasingly complex IT environment. With a diverse infrastructure comprising on-premises, cloud, and hybrid systems, the company experienced a high volume of events daily. Manual event management processes were proving to be inefficient, leading to prolonged downtime and affecting production and service quality. 

Business Need

The customer faced several interconnected challenges that severely impacted their IT operations and overall business performance. The sheer volume of events generated across their systems led to alert fatigue among IT staff, overwhelming them with a constant barrage of notifications and diminishing their ability to prioritize and address critical issues effectively. The company also struggled to correlate events across multiple domains (infrastructure, applications, business processes, ITSM). 

 

Further, their manual processes resulted in delayed incident detection and extended resolution times. As a result, the organization experienced significant downtime and performance issues, negatively affecting manufacturing operations and diminishing customer satisfaction. 

The Quinnox Solution

Quinnox stepped in with a recommendation to adopt a Qinfinite-powered solution. By adopting Qinfinite’s Event Intelligence Solutions, the manufacturing company was able to transform its IT operations, addressing the complexities of its modern IT environment.  

The integration of advanced AI and ML capabilities, real-time analysis, synthetic monitoring, and automated remediation provided significant improvements in service availability, operational efficiency, and overall productivity. Here is how it led to efficiency: 

Cross-Domain Event Ingestion and Correlation

      • Qinfinite ingested metrics from various monitoring tools across the IT environment, including Nagios, Grafana, Splunk, and Qinfinite collectors for business transactions. 
      • Events were generated based on predefined thresholds and anomaly detection algorithms, providing a continuous stream of data for analysis. 
      • Qinfinite’s Knowledge Graph dynamically represented relationships between IT assets, enabling deeper insights into interdependencies. 

Real-Time Analysis and Pattern Recognition

      • Using sophisticated AI and ML algorithms, Qinfinite analyzed events in real-time, identifying patterns and correlations. 
      • The system’s advanced pattern recognition capabilities identified anomalies that could indicate potential issues, allowing for proactive responses. 

Synthetic Monitoring for Proactive Detection

      • Qinfinite’s synthetic monitoring capabilities simulated user interactions and transactions, proactively identifying issues before they affected production. 
      • Integration with existing RPA tools and custom utilities provided comprehensive coverage for both web and desktop applications. 

Automated Incident Detection and Remediation

      • Qinfinite detected incidents by correlating multiple related events, pinpointing significant disruptions that required immediate attention. 
      • Pre-configured automation workflows were triggered to resolve common issues, reducing the need for manual intervention. 
      • For complex incidents, detailed diagnostics and recommended actions were provided, augmenting human efforts and accelerating the resolution process. 

Business Benefits We Delivered

The implementation of Qinfinite’s Event Intelligence capabilities led to transformative outcomes: 

      • By correlating events and reducing noise, Qinfinite significantly cut down the number of alerts by 70%, allowing IT teams to focus on critical issues. 
      • Automated incident detection and remediation processes decreased the Mean Time to Resolve (MTTR) by 60%, ensuring minimal disruption to manufacturing operations. 
      • Synthetic monitoring and real-time analysis enabled the company to detect and address issues proactively, preventing potential downtime and reducing incidents by 50%. 
      • Enhanced monitoring and quick remediation ensured higher service uptime, increasing production efficiency by 40% and boosting customer satisfaction by 30%. 

Streamlined IT operations through automation and intelligent analysis resulted in a 50% improvement in overall efficiency and resource optimization. 

Related Insights

Case study
Qinfinite

How Quinnox Transformed IT Operations of a Leading BFSI Client with Qinfinite’s AI-powered SaaS Platform 

Discover how a top BFSI firm slashed costs and MTTR by 42% with Qinfinite’s AI-powered SaaS for IT automation, real-time analytics & smarter decision-making.

Read more
Case study
Qinfinite

How Intelligent Twin Implementation for Middleware Integration Platform Helped Reduce Post-production Issues by 90%  

Discover how intelligent observability, automation & continuous learning led to 90% fewer post-production issues in middleware operations for a leading enterprise.

Read more
Case study
AI

How Quinnox’s AI Solution Streamlined Regulatory Compliance for a Leading Global Bank 

Quinnox streamlined regulatory compliance for a leading bank with AI-driven solutions, enhancing accuracy & efficiency in a dynamic regulatory environment.

Read more
Contact Us

Get in touch with Quinnox Inc to understand how we can accelerate success for you.