Data Hash

Data Hash for monday.com

This documentation explains how to create a recipe on monday.com boards for automatic and manual data hashing using SHA-256 algorithm.


What Data Hash is for?

The Data Hash app is for securely anonymizing sensitive column data (like PII) using SHA-256 hashing, enabling privacy compliance and secure data linking.

How to Use

  1. Go to your board view.
  2. Click Integrate.
  3. Search for automations belonging to the installed app. Use keywords such as:
    hash, data hash or sha-256.

Data Hash recipe sentence can be created for automatic hash generation in the predefined text column, based on the specified column change. Alternatively, a hash can be generated manually by clicking on the predefined button column.

Data Hash on status change example

The manual hashing on a button click, can be especially helpful for bulk generation of hashes for the existing items in the board. You can generate up to 500 hashes at a time, by selecting multiple items in the board.

Data Hash on status change example

Before generating a hash for the email address, all of its characters are transformed to the lower case. No changes applied to other types of the source data.


Why to use Data Hash

The Data Hash app is primarily used by:

  • Security & Compliance Teams
  • Data Analysts
  • Software Development Teams
  • Marketers
  • External agencies

working on monday.com boards that contain sensitive client or personal data (PII). They use the app to pseudonymize this information—such as emails, phone numbers, or custom IDs by transforming it into irreversible SHA-256 hashes. This helps to meet data privacy regulations (like GDPR) by reducing the risk of a data breach, while still allowing the teams to perform vital tasks.

For instance,

  • analysts can use the consistent hashes to link and match records across multiple boards without ever viewing the original sensitive identifier
  • QA teams can safely test integrations with realistic, non-identifiable data
  • marketers can use hashed data for exports and sharing with various marketing tools