headerLogo
search
hamburgerMenu
close_btn
headerLogo
search

Alation Brief

Alation’s Open Data Quality Initiative

Watch this on-demand Alation Brief to learn how Alation’s Open Data Quality Framework empowers you to bring data quality into Alation. In this session, you will discover how to integrate DQ health signals into your data catalog

Topic: Alation’s Open Data Quality Initiative

Presenters:

  • Jon Lanham – Alation Professional Services

  • Marlene Simon – Former Alation Professional Services

In the video brief, you will:

  • Learn the details of Alation’s Open Data Quality Framework

  • Understand how to benefit from the ODQF by integrating such metrics into your own Alation instance

  • Get a demonstration of the integration in action

This video brief is perfect for Alation users curious to learn how to bring the power of data quality into Alation. Revised Note: Alation now has 17 Data Quality Partners, instead of the 10 mentioned in the original session.

Related Resources

Alation Whitepaper Image: Close the Data Trust Gap: Transform Data Quality with Agentic AI

Whitepaper

Data Quality in the Agentic AI Era

As AI utility increases, organizations are rethinking how they monitor and maintain data quality at scale to deliver trusted data for confident decisions. But traditional approaches often fall short—failing to keep up with chaos of data sprawl, silos, and ever-growing business demand.

Download
Redefining Data Quality: Smarter Monitoring with Alation’s Agentic AI Webinar Tile

Webinar Registration

Redefining Data Quality: Smarter Monitoring with Alation’s Agentic AI

Poor data quality costs organizations millions in lost trust, wasted time, and bad decisions. Traditional data quality approaches are manual, slow, and often miss what matters most.

Register
Alation Data Quality brochure on teal background highlighting data trust gap solutions and quality measurement features.

Datasheet

Alation Data Quality

Alation Data Quality uses the Alation Data Quality Agent and intelligent metadata to establish AI-recommended data quality rules and assess data health across your entire data estate. By providing immediate visibility into the health of your most critical data assets, data consumers—both people and AI—can access data they trust is accurate, up to date, and fit for purpose.

Download