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Research May 2026
... Access Insights Already a Gartner client? Critical perspective and insight from Lizzy Foo Kune, Distinguished VP Analyst. Gartner Recommended Reading Gartner Insights Abstract ...

Analyst(s):   Lizzy Foo Kune
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Premium Research Jul 2026
... patch actively blocks ODP-RFC data extractions to third-party tools starting June 2026. Data and analytics leaders must urgently audit integrations and transition to compliant RFC alternatives to prevent immediate data pipeline failures and avoid possible unbudgeted data egress fees. Insights at a Glance ...

Analyst(s):   Nina Showell   |   Ciaran Hudson   |   Jan Cook   |   Thornton Craig
Premium Research May 2026
... CFOs who harness advanced data analytics and AI will transform finance from reactive reporting to real-time, predictive insight. As data becomes democratized and decisions automated, advanced data analytics is now a baseline that must be constantly reinvented to become a differentiator. Insights at a ...

Analyst(s):   Matt Monopoli   |   Irmina Melarkode   |   Mike Helsel
Research Dec 2025
... decision making with external data when internal data is not sufficient. D&A leaders who fail to incorporate trust-based governance into their external data collection framework will not be able to quantify benefits, justify costs, or maximize the usage of external data. Insights at a Glance Strategic ...

Analyst(s):   Divya Radhakrishnan
Premium Research Jul 2026
... Rising adoption of ADQ solutions is driven by the need to overcome data quality barriers, accelerate AI success and ensure trusted, reliable data for business impact. This note guides data and analytics leaders to learn from ratings and reviews shared by their peers on Gartner Peer Insights. Gartner ...

Analyst(s):   Peer Community Contributor
Premium Research May 2026
... Industrial data fragmentation limits scalability and interoperability across IT and OT systems. This research provides a step‑by‑step framework for implementing a unified namespace (UNS), helping IT/OT architects and operations leaders standardize data models and enable enterprisewide data access. Overview ...

Analyst(s):   Jake Cunningham   |   Avinash Dev Nagumanthri   |   Jaishiv Prakash
Premium Research Dec 2025
... Agentic AI optimizes data management through adaptive, self-learning systems that increase operational efficiency and enhance overall enterprise performance. By integrating AI agents, data engineers can automate their current data management processes, increase productivity, and focus on strategic initiatives ...

Analyst(s):   Ramke Ramakrishnan
Premium Research Jul 2026
... Data and analytics leaders should use a plan on a page to support their data, analytics and AI strategic planning process. This tool helps to quickly summarize key information from the data, analytics and AI strategy and target operating model and generate a one-page executive summary. When to Use Directions ...

Analyst(s):   Michael Gabbard   |   Alan D. Duncan   |   Antonia Roesler   |   Soyeb Barot   |   Jamie O'Brien
Research Jan 2026
... Already a Gartner client? Data mesh practitioners emphasize that federating data management requires careful domain selection, collaborative governance and the integration of engineering expertise within domain teams. D&A leaders who blend product thinking, DataOps practices and data fabric foundation can ...

Analyst(s):   Michele Launi   |   Michael Simone   |   Robert Thanaraj
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