Analyst Report
Gartner Market Guide: Data and Analytics Governance Platforms
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.
Gartner Market Guide helps you:
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.
Related resources
Whitepaper
Data & AI Readiness Strategy Guide
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?
Download
Webinar On-Demand
Strategies for AI Governance: Ensuring Trust and Innovation in Advanced Analytics
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.
Watch now
Customer Case Study
On-Demand Delivery Service Drives AI Success by Boosting Data Trust with Alation & Monte Carlo
This same-day shopping and delivery service faced challenges with data quality, trust, and concurrent processing issues in their backend Postgres databases. To address these, the company’s data leadership implemented a comprehensive data modernization strategy. They migrated their data to the Snowflake data cloud and adopted Alation as the front end for their data for its user-friendly interface. Additionally, they implemented the Monte Carlo data observability platform to ensure data quality with real-time lineage and alerts. This integrated solution provides the delivery company with reliable, high-quality data for business reporting and AI modeling, generating the insights needed to deliver value to their customers, shoppers, and retail partners.
Download