
Dynamic Baselining
The integrated machine learning engine creates performance baselines from collected datasets. These baselines are used to create historical overviews, real-time trends and future performance predictions.

Testimonials
Read why our customers chose the Tuuring platform to optimize their workload performance.
How we create actionable insights
Baselining: the integrated machine learning engine creates performance baselines from collected datasets. These baselines are used to create historical overviews, real-time trends and future performance predictions.
Visualization: analyzed data and results are visualized in out-of-the-box and custom-made dashboards. These dashboards can be published and broadcasted to all types of displays.
Alerting: based on changes in metrics, baselines and analysis alerts can be generated to be shown within the software but also sent to third-party ITSM tools, supporting faster times to resolve issues and improve root cause
analysis.
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1
Improve end user experience
The responsiveness of the application determines the end user’s experience. Compare real response times against historical averages to provide meaningful insight into service anomalies without requiring the impossible task of setting absolute thresholds for every transaction.
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2
Identify trends
Discover anomalies and trends during any given time frame for any given workflow.
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3
Optimize business workflows
Setting a dynamic baseline reveals undiscovered trends that can affect the performance of the business workflow. Optimize workflows by identifying and resolving the bottlenecks that impact workflow performance.
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4
AI automatically learns and sets the baselines
The Tuuring platform uses artificial intelligence to pin down all the baseline metrics related to the performance of your applications, workspaces and (cloud) infrastructure
Convert data into knowledge
The platform collects essential performance data from a combination of sources for applications, workspaces and (cloud) infrastructures. This data is consolidated into the Tuuring data lake which enables artificial intelligence baselines and anomaly detection for an entire chain rather than a part of it.




And many more...
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