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.
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As organizations invest in AI, effective governance is crucial to maintain safety and compliance. But did you know it's also critical for creating a consistent framework for innovation? Interac, a leader in digital payments, has partnered with Alation to build a robust AI governance framework. Join Mohit Sirpal and Shubneet Bharwani from Interac as they share expert insights on creating a trusted data environment for AI. Learn how Interac leverages data intelligence to enable self-service, transparency, and traceability in their AI processes, ensuring they are prepared for future AI initiatives.
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Leaders are under mounting pressure to implement AI that drives business results. How can they ensure their data is ready to fuel AI models that succeed?
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In today’s rapidly evolving digital landscape, effective data governance is critical for organizations striving to manage diverse and numerous data types. Ensuring the trustworthiness of AI/ML models requires robust governance of both inputs and outputs.