5 Critical Shifts D&A Leaders Must Make to Drive Analytics and AI Success

2026-03-16 · Source: KDnuggets · Field: Business & Management — Corporate Strategy & Leadership, Operations & Process Management, Project & Product Management · Depth: Advanced, quick

Summary

Gartner's new insights, titled "5 Critical Shifts D&A Leaders Must Make to Drive Analytics and AI Success," provide evidence-based guidance for Chief Data & Analytics Officers and data leaders. The report outlines five pivotal changes necessary to transition analytics and AI initiatives from potential to tangible business value. Key shifts include moving organizations from AI skepticism to trust, adopting a business-first mindset instead of viewing D&A as a cost center, establishing robust governance for scalable analytics environments, and developing the ability to influence decisions and behaviors across the enterprise. These insights aim to help leaders build trust, align initiatives with business priorities, and drive adoption of AI.

Key takeaway

For Chief Data & Analytics Officers aiming to secure a leadership position and drive tangible business value from AI, you must proactively implement the five critical shifts outlined by Gartner. Focus on reframing analytics and AI around business impact, fostering trust to accelerate adoption, and establishing scalable governance. Your ability to influence enterprise-wide decisions will be key to moving beyond chaotic environments and achieving sustainable success.

Key insights

D&A leaders must make five critical shifts to drive analytics and AI success and achieve business value.

Principles

• Shift from AI skepticism to trust.
• Prioritize business impact over cost center views.
• Transition to robust, scalable governance.

Method

The guidance outlines a strategic shift from technology-first to business-aligned solutions, emphasizing influencing enterprise-wide decisions and building trust to accelerate AI adoption and value.

In practice

• Build trust for AI adoption.
• Align D&A with business priorities.
• Influence outcomes beyond direct ownership.

Topics

• Data & Analytics Strategy
• AI Adoption
• AI Governance
• Business Value
• Leadership Development

Best for: CTO, Executive, Director of AI/ML, VP of Engineering/Data, AI Product Manager

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Editorial summary, takeaway, and curation by AIssential. Original article published by KDnuggets.