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Premium Research Apr 2026
... make big investments in data catalogs to address poor data, AI workflow and compliance, and overall data governance but often end up with “shelfware.” D&A leaders can boost data governance value by focusing on business outcomes, federated models, and automated controls in data pipelines. Insights at a ...

Analyst(s):   Guido De Simoni
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Premium Research May 2026
... for AI-savvy leadership. This interactive tool helps CFOs compare their AI literacy with peers by region, industry, revenue, and company structure. Data Insights Directions for Use About This Research Contributors Recommended by the Authors Recommendations Gartner Insights Abstract ...

Analyst(s):   Kriti Bhatia   |   Janel Everly
Research Apr 2026
... Already a Gartner client? Data agents are the primary enablers of agentic data management, but D&A leaders currently lack the foundations to take advantage of this. To gain the benefits of agentic data management, leaders need to first leverage metadata, then build prototype data agents that will work in ...

Analyst(s):   Mark Beyer   |   Roxane Edjlali   |   Michael Simone
Research Feb 2026
... client? Traditional data lake and data warehouse models, which are separated into two tiers, create operational friction, technical debt and complexity, whereas data lakehouses unify their strengths in a single platform. D&A leaders must plan for the transition from legacy enterprise data warehouses to lakehouse ...

Analyst(s):   Aaron Rosenbaum   |   Henry Cook   |   Masud Miraz   |   Ramke Ramakrishnan   |   Michael Gonzales
Premium Research Apr 2026
... s newly announced Agentic Data Cloud elevates metadata and semantics to reduce lock‑in while enhancing data engineering efforts across AI pipelines, representing an incremental tooling evolution rather than a net‑new platform. CDAOs should assess its strategic impact on data engineering operating models ...

Analyst(s):   Jim Hare   |   Soyeb Barot
Webinar On-Demand
... mission-critical priorities. •Explore the increasing importance of data, analytics and AI across business and IT initiatives •Discover 100 data and analytics strategic planning assumptions (SPAs) through 2031 •Understand the implications for your data and analytics strategies and delivery planning Return to this ...

Analyst(s):   Sarah James
Premium Research Jul 2025
... Gartner’s Supply Chain Top 25 highlights leaders across industries and shares their distinguishing capabilities. This research focuses on the 10 life science companies that placed the highest this year and discusses their strengths to help CSCOs improve their operations. Overview Strategic Planning Assumptions ...

Analyst(s):   Maria Nieradka   |   Corwin Hee
Premium Research May 2025
... and initiatives across the enterprise. Use the template outlined in this research to create your own strategic roadmap and subsequently improve life science supply chain performance. Overview Introduction Future State Current State Gap Analysis and Interdependencies Migration Plan Gartner Recommended Reading ...

Analyst(s):   Maria Nieradka
Research Jul 2026
... Already a Gartner client? AI-related aspirations are affecting most aspects of data management. In particular, a focus on context layers and semantics, combined with sovereignty concerns, is driving risk and governance innovation. Data and analytics leaders can use this research to help strategize roadmaps ...

Analyst(s):   Adam Ronthal
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