---
title: Data Discovery
slug: kronpam-reference-guide-3-5-0/data-discovery
description: Learn how to effectively apply discovery processes for sensitive data discovery with this step-by-step guide. Discover the navigation process to access the sensitive data discovery section, select the appropriate database, schema, table, pattern, sample d
docTags: 
createdAt: 2022-08-01T17:37:22.000Z
---

Discovery processes are applied to selected tables by determining the percentage of expected matched data and the number of rows to be scanned.

1. Navigate to **Sensitive Data Discovery**.
2. Select the **Discovery** tab.
3. Click the blue **Add** button.
4. Select the** Database**, **Schema**,** Table, Pattern**, **Sample Data Count**, and **Expected Matched Percentages**.
5. Click the **Discover** button.

::Image[]{src="https://api.archbee.com/api/optimize/g9cApVza9NIhSh0pjZYtA/LZQ3k--gzHue512ZwTnrw_image.png" size="92" width="656" height="268" position="center" showCaption="false"}

![](https://api.archbee.com/api/optimize/g9cApVza9NIhSh0pjZYtA/33rboI1zp4t8lDX9MueKE_image.png "Data Discovery")

**Thread Count**: The parallel connection count that will be opened on this database when discovering sensitive data. 


The default value seen when the page is opened is 10. The default value can be changed by setting the **sdd.thread.count.default** parameter in the System Config Manager. The minimum value of the count is 1 and the maximum value can vary.




**Sample Data Count**: Sample data count to be scanned for sensitive data discovery. For example, if this value is 10, the first 10 rows of the table columns are scanned. 


**Expected Match Percentage**: The discovered data is listed in the search results when the scanned data is matched in rate with the **expected match percentage**.