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.

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Our customers

Testimonials

Read why our customers chose the Tuuring platform to optimize their workload performance.

After realizing that the aim for optimal business integration would result in a massive increase in transaction data, CZ chose the Tuuring platform as their end-to-end performance analytics solution.

CZ Group

Tuuring provided the answer to the question of whether end-user experience would remain sufficient after combining and integrating two very large financial applications.

Nationale Nederlanden

Upgrading a mainstream ERP application with a sensitive performance baseline could lead to delays and possible degradation of end-user experience. The Tuuring platform provided the performance baseline and much more insights during and after the go-live.

LUMC

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.
2

Identify trends

Discover anomalies and trends during any given time frame for any given workflow.
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.
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.