Analyst Report
What data and analytics leaders must consider before selecting an active metadata management solution.
Unlike standalone data management and data governance tools — which focus on policy execution and are used by only or specifically IT roles — platforms are used primarily by a range of business roles.
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Manage the risk of investing in an emerging market with insight into its direction and potential.
Support the argument for allowing an emerging market to further evolve before making a commitment.
Survey the types of provider options in the market and understand how offerings are likely to evolve.
Learn how to assess which data and analytics governance platforms are suited to align with your business needs to ensure access to secure, reliable data. Get your complimentary copy of this Gartner report now.
GartnerⓇ, Market Guide for Data and Analytics Governance Platforms, 3 May 2023, By Guido De Simoni, Saul Judah, and Andrew White. GARTNER is a registered trademark and service mark of Gartner, Inc. and/or its affiliates in the U.S. and internationally and is used herein with permission. All rights reserved. Gartner does not endorse any vendor, product or service depicted in its research publications and does not advise technology users to select only those vendors with the highest ratings or other designation. Gartner research publications consist of the opinions of Gartner’s Research & Advisory organization and should not be construed as statements of fact. Gartner disclaims all warranties, expressed or implied, with respect to this research, including any warranties of merchantability or fitness for a particular purpose.
eBook
How can you support and scale AI innovation? Data leaders can empower teams to build AI that delivers meaningful business outcomes by providing a foundation for AI governance. Yet, AI governance differs from data governance in a range of critical ways.
Webinar On-Demand
In the rapidly evolving regulatory landscape, ensuring compliance with data governance standards is crucial for organizations operating in Singapore. The Monetary Authority of Singapore (MAS) has introduced new data governance guidelines to enhance data protection, transparency, and risk management practices.
Datasheet
Alation Data Governance provides the ability to establish and sustain governance programs to centralize data assets’ metadata to remove silos, reduce compliance risk through policies, standards, and controls for those assets, and unlock an organization's data safely for everyone by guiding people to trusted, high-quality, and governed data to make compliant data-driven decisions.