Case Study: Leading Healthcare Services Provider
Real-Time Qlik Performance & Reliability with Wowizer TPM
Case Study:
Leading Healthcare Services Provider
Real-Time Qlik Performance & Reliability with Wowizer TPM
AI Powered Command Center for On Premise Qlik Sense and NPrinting Admin
Dashboard Performance at scale + On time data refresh, Proactive alerting , Troubleshooting
Purpose built for Qlik | User Experience Management | Reload Monitoring | AI Powered Troubleshooting & RCA | Cloud Migration ROI with Object level Optimization visibility
Challenges
Qlik apps slowed down or failed intermittently on high usage times
Monitoring Reloads during night time needed Operations support
CPU consumption was low and Management refused to add servers
MTTR was high and RCA for several downtimes was not even possible
Operations Monitor as an Option:
Delayed Insights
Data was available after hourly reload whereas real time action was needed
Downtime Dependency
Unavailable when Qlik Services went down
Resource Intensive
Could not be installed as it slowed down Qlik further consuming resources
Wowizer TPM
1. User Experience Management
Correlated logs users, apps, usage in Real time
Identified Memory swapping as the root cause exactly when it happened
IMPACT
Problem was fixed in a day by addition of RAM. Cost of server was saved.
3. Reload Failure Alerting
Real time alerts when the data pipelines failed and risked data refresh timelines
IMPACT
Management always got updated dashboards at 8:30 am and nobody had to stay awake checking on the reloads
2. Real Time Alerting
Alerts triggered as fast as every 30 seconds alerted developers when they were affecting end users with their testing or reloads in a shared environment
IMPACT
User Experience always stayed perfect
4. AI-Based Troubleshooting
Correlates Windows and Qlik events for comprehensive detection
Operational even when Qlik is down
Pattern detection across logs with exact time of event
IMPACT
Reduced MTTR, easy RCA and improved Availability of system
Additional Benefits:
Additional Benefits:
Hardware Planning:
Consumption profiles gave basis for next year's hardware planning
Full-System Visibility in Real time
Usage
Reload Impact and time windows
System performance
App behavior
Cloud Migration Readiness with Performance Optimization
Object level visibility into CPU and RAM consumption
Heavy apps
Inefficient scripts
Bottlenecks in reload windows
IMPACT
Reload times reduced from 3 hours → ~1.5–2 hours making it possible to take into cloud
AI Powered Command Center for
On Premise Qlik Sense and Printing Admin
Dashboard Performance at scale
On time data refresh and Proactive alerting and Troubleshooting
Purpose built for Qlik | User Experience Management | Reload Monitoring | AI Powered Troubleshooting & RCA | Cloud Migration ROI with Object level Optimization visibility
Challenges
Qlik apps slowed down or failed intermittently on high usage times
Monitoring Reloads during night time needed Operations support
CPU consumption was low and Management refused to add servers
MTTR was high and RCA for several downtimes was not even possible
Operations Monitor as an Option:
Delayed Insights
Data was available after hourly reload whereas real time action was needed
Downtime Dependency
Unavailable when Qlik Services went down
Resource Intensive
Could not be installed as it slowed down Qlik further consuming resources
Wowizer TPM
1. User Experience Management
Correlated logs users, apps, usage in Real time
Identified Memory swapping as the root cause exactly when it happened
IMPACT
Problem was fixed in a day by addition of RAM. Cost of server was saved.
2. Real Time Alerting
Alerts triggered as fast as every 30 seconds alerted developers when they were affecting end users with their testing or reloads in a shared environment
IMPACT
User Experience always stayed perfect
3. Reload Failure Alerting
Real time alerts when the data pipelines failed and risked data refresh timelines
IMPACT
Management always got updated dashboards at 8:30 am and nobody had to stay awake checking on the reloads
4. AI-Based Troubleshooting
Correlates Windows and Qlik events for comprehensive detection
Operational even when Qlik is down
Pattern detection across logs with exact time of event
IMPACT
Reduced MTTR, easy RCA and improved Availability of system
Offerings
AI Powered Command Center
Additional Benefits:
Hardware Planning:
Consumption profiles gave basis for next year's hardware planning
Full-System Visibility in Real time
Usage
Reload Impact and time windows
System performance
App behavior
Cloud Migration Readiness with Performance Optimization
Object level visibility into CPU and RAM consumption
Heavy apps
Inefficient scripts
Bottlenecks in reload windows
IMPACT
Reload times reduced from 3 hours → ~1.5–2 hours making it possible to take into cloud