> For the complete documentation index, see [llms.txt](https://docs.tricloudnexus.io/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.tricloudnexus.io/platform-architecture/high-level-overview/insights.md).

# Insights

The Insights feature of the platform enables deeper knowledge of your data, so you can optimize your processes. It can generally be organized into 3 main elements:

* **Visualize** - data from your assets in time series explorer or dashboards. Bring your own visualization tools.
* **Analyze** - data based on advanced analytics tools from Azure Data Explorer including ML features, or use your preferred analysis software
* **Improve** - your process by training ML models and deploy them at the edge

<figure><img src="https://570593659-files.gitbook.io/~/files/v0/b/gitbook-x-prod.appspot.com/o/spaces%2FYMGRODsc2QD3N3wmfwTl%2Fuploads%2FES6BlIf4LDS9skc0RLUB%2Fimage.png?alt=media&amp;token=cf10faf2-af09-4067-8bb0-e7b0b3941fd5" alt=""><figcaption></figcaption></figure>

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### **Visualize**

Visualize your data through time series database or use your own visualization tools:

**Time series**\
Visualize time series both historically and in real-time directly from your assets.

**Dashboards**\
Build your own dashboards using dozens of graphical objects for easy overview and analysis.

**Customer applications**\
Use virtually any visualization tool and integrate into existing business intelligence solutions. Visualize your data using tools like Power BI, Grafana, Tableau, Excel and many more.

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### **Analyze**

Analyze huge amount of data through advanced built-in analysis tools based on Azure Data Explorer or use your own toolkit.

**Query**\
Query your data using Kusto (KQL) with Azure Data Explorer for deeper insights, comparison and analysis.

**AI**\
Azure Data Explorer uses KQL that has anomaly detection and forecasting functions to check for anomalous behavior.

**3rd party tools**\
Store historical information in a data lake and get access to the information from 3rd party tools including analytic platforms such as Databricks, Dataiku, Jupyter Notebooks, Apache Spark, Power Apps and many more.

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### **Improve**

Enable closed loop analytics by using edge modules to do process optimization, re-train and control the process:

**Process optimization**\
Improve your process optimization efforts by detailed insights through data.

**Train model**\
Optimize your ML algorithms by automated re-training and deployment and integrate your MLOps process with Tricloud Nexus fast and easy.

**Control**\
Make your own optimization algorithms based on data and rules of thumb, and deploy on edge for guidance or direct control of the process.

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