... in translating data modeling outputs into actionable business decisions. The true value of data and analytics is unlocked through data storytelling, offering a more effective way to communicate insights than traditional BI reports or data science notebooks. Join this complimentary Gartner webinar as a ...
Analyst(s): Aura Popa
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... 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 ...
... 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 ...
... 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 ...
... 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
... 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 ...
... 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
... By 2030, winning data providers will design trust, constraints and context for machines rather than people. AI data markets are about control over volume. CPOs can use this actionable guidance to shape their product roadmaps and competitive strategies in the rapidly evolving AI data market. Overview ...
Analyst(s): Omar Ansari | Annette Zimmermann | Scot Kim | Kevin Quinn | Jim Hare
... 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