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Research Oct 2025
... Access Insights Already a Gartner client? Data loss prevention is a mature use case supported by a range of cybersecurity tools and technologies — not just dedicated DLP technologies — which are also evolving. This tool helps cybersecurity leaders assess 119 vendors across different markets for DLP use ...

Analyst(s):   Anson Chen   |   Paulo Aresta   |   Andrew Bales
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Premium Research Sep 2025
... Infrastructure architects are often tasked to create cost models for chargeback or cloud migration. However, they struggle to ascertain existing on-premises data center costs. This document and its associated Microsoft Excel tool can jump-start cost modeling efforts. Overview Problem Statement The Gartner Approach ...

Analyst(s):   Ang Troy
Premium Research Jul 2025
... Data and analytics governance programs often fail due to not being set up for effective execution. The charter document is critical to outlining the governance model and roles to ensure the program’s success. This Toolkit provides charter templates and a guide to create a document that focuses on business ...

Analyst(s):   Sarah Turkaly   |   Nate Novosel
Premium Research Aug 2025
... Automating data and analytics cost optimization at scale is elusive. It requires active-metadata-assisted data fabric architecture, data ecosystems, FinOps maturity and AI agents. This research helps D&A leaders plan for automated, agentic deployment to support optimization of D&A resources for greater ...

Analyst(s):   Henry Cook   |   Adam Ronthal
Research Mar 2026
... Access Insights Already a Gartner client? Data agents are a top priority in China’s D&A practices, moving from concept to real-world deployment. They automate complex D&A workflows using knowledge and LLM‑based reasoning, replacing some traditional work with autonomous, task‑oriented services. D&A leaders ...

Analyst(s):   Xingyu Gu   |   Fay Fei   |   Julian Sun   |   Mike Fang
Premium Research Jun 2025
... Open table format specification transforms how D&A leaders should plan and implement a data architecture foundation for analytics. This research outlines how to effectively leverage OTFs for a broad range of data and use cases while affording scale, flexibility, cost, consistency and performance. Overview ...

Analyst(s):   Adam Ronthal   |   Michael Gonzales
Premium Research Mar 2026
... Please find below all of the presentations associated with the Gartner Research Board for Global Chief Data & Analytics Officers Cycle 1 2026 Meeting Gartner Insights Abstract ...

Analyst(s):   Research Board Research Team
Premium Research Oct 2025
... The PAM market is evolving to meet the demands of managing privileged access for machines, cloud environments and, at the same time, securing traditional privileged access risks. IAM leaders should focus on the features that differentiate vendors in this market. Market Definition/Description Magic Qua ...

Analyst(s):   Tarun Rohilla   |   Paul Mezzera   |   Shubham Gera   |   Abhyuday Data   |   Michael Kelley
Research Jul 2025
... management leaders are prioritizing data security efforts amid emerging challenges from AI, geopolitical instability and quantum computing. AI trust, risk and security management, crypto-agility, and data access governance, among other innovations, can help mitigate data security risks from these drivers ...

Analyst(s):   Andrew Bales
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