---
title: "Apply cross filtering"
slug: "apply-cross-filtering"
tags: ["Data Modeling Studio", "DMS"]
updated: 2026-03-20T08:17:31Z
published: 2026-03-20T17:44:45Z
canonical: "docs.staedean.com/apply-cross-filtering"
---

> ## Documentation Index
> Fetch the complete documentation index at: https://docs.staedean.com/llms.txt
> Use this file to discover all available pages before exploring further.

# Apply cross filtering

To each data set or data entity, as added to a data model, you can apply filters to limit the data that is exported.

You can apply these filters:

- **Legal entity**: By default, data is exported from all legal entities in the current environment. If you want to only export data for one or several legal entities, you can filter on these legal entities.
- **Created date/time**: By default, on data export, all records are considered for export, regardless of the created date/time of these records. You can apply created date/time filters to only export records that are created:
  - After a specific date/time: Only define the **Start date/time**.
  - Before a specific date/time: Only define the **End date/time**.
  - In a specific period: Define both the **Start date/time** and the **End date/time**.

### Steps

1. Go to **Data modeling studio > Data modeling studio > Data models**.
2. In the list, click the link of the desired data model.
3. Click **Edit**.
4. Expand the **Dataset** section.
5. Sub-task: Filter by legal entity.
  1. Click **Cross filtering** to open the drop dialog.
  2. In the **Legal Entities** field, enter or select the desired legal entities.
  3. Click **Ok**.
6. Sub-task: Filter by created date/time.
  1. Click **Cross filtering** to open the drop dialog.
  2. You can define the created date/time from which records are exported.

In the **Start date/time** field, enter a date and time.
  3. You can define the created date/time till which records are exported.

In the **End date/time** field, enter a date and time.
7. Click **Ok**.

## Related

- [Maintain data models](/maintain-data-models.md)