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... Client Story Building a Data-Driven Finance Organization Barbara Anderson, CFO of VGM Group, shares how Gartner’s analyst partnership helped establish a data analytics strategy to drive financial decisions. Mission-critical priority Develop a data analytics strategy for the finance team and recruit talent ...
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Research Aug 2026
... Gartner client? As AI adoption accelerates, failing to build data and AI literacy risks value realization, weaker governance, and limited workforce readiness. This guide helps data and analytics leaders support persona-based and role-oriented data, analytics and AI workforce enablement as a core business ...

Analyst(s):   Sarah James   |   Sally Parker   |   Alan D. Duncan
Research Aug 2026
... Gartner client? AI-driven automation is exposing the limitations of manual data governance. D&A leaders should use policy as code, DataGovOps, and data contracts to execute governance requirements as automated controls across data products, pipelines, and AI workflows. Insights at a Glance Strategic Planning ...

Analyst(s):   Anurag Raj   |   Michael Simone   |   Thornton Craig
Premium Research Oct 2026
... The AI-ready data era will favor organizations that maintain decision authority over how data is accessed, interpreted and transformed. Heads of I&O and data and analytics leaders play a critical role in establishing the governance, trust and infrastructure controls that keep AI-generated value under ...

Analyst(s):   Jeff Vogel
Research Sep 2026
... Access Insights Already a Gartner client? To scale data and AI initiatives, D&A leaders must treat data quality as a strategic capability rather than a routine back-office task. This journey guide enables D&A leaders to assess their organizational data quality maturity and execute 12 pragmatic actions ...

Analyst(s):   Melody Chien   |   Lulu Wang   |   Divya Radhakrishnan
Research Aug 2026
... Access Insights Already a Gartner client? Data and analytics leaders must align data agent costs with value to optimize ROI. By assessing the expected business impact of data agents and combining that with key cost drivers, we can implement governance for high-iteration agents and prioritize agents with ...

Analyst(s):   Adam Ronthal
Research Aug 2026
... the capabilities offered by third-party providers, the risk of data breaches threatens to expose sensitive data and disrupt mission-critical AI functions. Use this research to layer technical and contractual controls to secure your data shared with third parties. Insights at a Glance Strategic Planning ...

Analyst(s):   Niyati Daftary   |   Oscar Isaka   |   Chiara Girardi   |   Andrew Bales
Premium Research Oct 2026
... Uncontrolled data growth in Microsoft 365 negatively affects Copilot outputs and leads to compliance risks. This research guides application architects in leveraging Microsoft 365 tooling to identify and eliminate redundant, obsolete, and trivial data to optimize your content. Overview Analysis Recommendations ...

Analyst(s):   Taylor Satterfield
Premium Research Oct 2026
... AI-enabled data management is evolving from passive record keeping to intelligent platforms. To maximize value, data management technical professionals need frameworks that distinguish AI capabilities (assistive, analytical, generative) from execution modes (reactive to agentic). Insights at a Glance ...

Analyst(s):   Adrianna Rockford
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