# Validations
URL: https://docs.valsight.ai/validations/
Description: Validations check that your data, models, and workspaces are correctly configured, compatible, and working as intended.
Validations check that your **data**, **models**, and **workspaces** are correctly configured, compatible, and working as intended.

## What you can validate

| Area                  | What is checked                                                                                      | Where to find it    |
| --------------------- | ---------------------------------------------------------------------------------------------------- | ------------------- |
| **Data & Dimensions** | Uploaded data complies with defined dimensions, contains no wrong values, and is correctly formatted | Data Source page    |
| **Models**            | Node formulas follow correct syntax and are compatible with connected data                           | Model Editor header |
| **Workspaces**        | Scenarios and model logic function correctly together                                                | Workspace header    |

## Start here if you want to:

| If you                                                 | Go to                                                      |
| ------------------------------------------------------ | ---------------------------------------------------------- |
| Check uploaded data against your dimensions            | [Data & Dimension Validation](/data-dimension-validation/) |
| Verify model syntax and compatibility after a change   | [Model Validation](/model-validation/)                     |
| Check that workspace scenarios produce correct results | [Workspace Validation](/workspace-validation/)             |
| Add custom checks to your model logic                  | [Validation Nodes](/validation-nodes/)                     |
| Pre-define the expected shape of empty nodes           | [Expected Levels](/expected-levels/)                       |

## Who this section is for

* Users uploading or managing data who want to verify correctness before connecting it to models
* Modelers building or maintaining models who need to check formula validity
* Teams reviewing workspaces or investigating unexpected results across scenarios