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Gartner: Organizations Are Evolving D&A Operating Model Because of AI

A majority (61%) of organizations are forced to evolve or rethink their data and analytics (D&A) operating model because of the impact of disruptive artificial intelligence (AI) technologies, according to a new Gartner, Inc. survey.

"Responding to the rapid evolution of D&A and AI technologies, CDAOs are wasting no time in making changes to their operating model," said Alan D. Duncan, Distinguished VP Analyst at Gartner. CDAOs are doing it to support data-driven innovation and accelerate organizational agility, with data governance at the core.

When asked about changes CDAOs need to make to their D&A operating model to be fit for current and future purpose, 38% of CDAOs said that their D&A architecture will be overhauled over the next 12-18 months, and 29% said they will revamp how they manage data assets and adopt and apply governance policies, practices and standards.

CDAOs Are Expanding Responsibilities

"While the management of their organization's D&A operating model is increasing year over year, no other role than the CDAO has the responsibility of many of the key enablers of AI, which include data governance, D&A ethics, and data and AI literacy," said Duncan. "The scope of responsibilities of the CDAO role has also expanded as budget and resource constraints become even more of a problem."

Among the CDAO's key responsibilities are managing the D&A strategy (74%) and D&A governance (68%). Being accountable for AI is also high on the CDAO's agenda. The survey found that 49% of CDAOs said generative AI (GenAI) is within their scope of primary responsibilities. AI is within scope for 58% of CDAOs, which is an increase from 34% in 2023.

CDAOs to Negotiate the Way D&A Is Funded

The expansion of responsibilities entails a significant cost for CDAOs. Among CDAOs who report a year-over-year increase in their function's funding, 46% still report budget constraints as a challenge. "CDAOs who present better business cases to CFOs, receive better and quicker funding for their D&A initiatives. They also gain higher executive buy-in," said Duncan.

CDAOs must explain to the CFO how any change in D&A funding models aligns to the ratio of D&A value propositions as a utility, enabler or driver of the organization. "However, only 49% of surveyed CDAOs have established business outcome-driven metrics that allow stakeholders to track D&A value. In addition, 34% have not established business outcome metrics for D&A," said Duncan.

CDAOs need to grow their power and influence to make things happen. They also must understand the value levers and pain points of the organization end to end to showcase their value to the board. "If not, by 2026, 75% of CDAOs who fail to make organization-wide influence and measurable impact their top priority, will be assimilated into technology functions," said Duncan.

Methodology: The annual Gartner Chief Data & Analytics Officer (CDAO) survey was conducted from September through November 2023 among 479 chief data and analytics officers, chief data officers (CDO) and chief analytics officers (CAO) across the world.

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Gartner: Organizations Are Evolving D&A Operating Model Because of AI

A majority (61%) of organizations are forced to evolve or rethink their data and analytics (D&A) operating model because of the impact of disruptive artificial intelligence (AI) technologies, according to a new Gartner, Inc. survey.

"Responding to the rapid evolution of D&A and AI technologies, CDAOs are wasting no time in making changes to their operating model," said Alan D. Duncan, Distinguished VP Analyst at Gartner. CDAOs are doing it to support data-driven innovation and accelerate organizational agility, with data governance at the core.

When asked about changes CDAOs need to make to their D&A operating model to be fit for current and future purpose, 38% of CDAOs said that their D&A architecture will be overhauled over the next 12-18 months, and 29% said they will revamp how they manage data assets and adopt and apply governance policies, practices and standards.

CDAOs Are Expanding Responsibilities

"While the management of their organization's D&A operating model is increasing year over year, no other role than the CDAO has the responsibility of many of the key enablers of AI, which include data governance, D&A ethics, and data and AI literacy," said Duncan. "The scope of responsibilities of the CDAO role has also expanded as budget and resource constraints become even more of a problem."

Among the CDAO's key responsibilities are managing the D&A strategy (74%) and D&A governance (68%). Being accountable for AI is also high on the CDAO's agenda. The survey found that 49% of CDAOs said generative AI (GenAI) is within their scope of primary responsibilities. AI is within scope for 58% of CDAOs, which is an increase from 34% in 2023.

CDAOs to Negotiate the Way D&A Is Funded

The expansion of responsibilities entails a significant cost for CDAOs. Among CDAOs who report a year-over-year increase in their function's funding, 46% still report budget constraints as a challenge. "CDAOs who present better business cases to CFOs, receive better and quicker funding for their D&A initiatives. They also gain higher executive buy-in," said Duncan.

CDAOs must explain to the CFO how any change in D&A funding models aligns to the ratio of D&A value propositions as a utility, enabler or driver of the organization. "However, only 49% of surveyed CDAOs have established business outcome-driven metrics that allow stakeholders to track D&A value. In addition, 34% have not established business outcome metrics for D&A," said Duncan.

CDAOs need to grow their power and influence to make things happen. They also must understand the value levers and pain points of the organization end to end to showcase their value to the board. "If not, by 2026, 75% of CDAOs who fail to make organization-wide influence and measurable impact their top priority, will be assimilated into technology functions," said Duncan.

Methodology: The annual Gartner Chief Data & Analytics Officer (CDAO) survey was conducted from September through November 2023 among 479 chief data and analytics officers, chief data officers (CDO) and chief analytics officers (CAO) across the world.

Hot Topics

The Latest

Artificial intelligence (AI) has become the dominant force shaping enterprise data strategies. Boards expect progress. Executives expect returns. And data leaders are under pressure to prove that their organizations are "AI-ready" ...

Agentic AI is a major buzzword for 2026. Many tech companies are making bold promises about this technology, but many aren't grounded in reality, at least not yet. This coming year will likely be shaped by reality checks for IT teams, and progress will only come from a focus on strong foundations and disciplined execution ...

AI systems are still prone to hallucinations and misjudgments ... To build the trust needed for adoption, AI must be paired with human-in-the-loop (HITL) oversight, or checkpoints where humans verify, guide, and decide what actions are taken. The balance between autonomy and accountability is what will allow AI to deliver on its promise without sacrificing human trust ...

More data center leaders are reducing their reliance on utility grids by investing in onsite power for rapidly scaling data centers, according to the Data Center Power Report from Bloom Energy ...

In MEAN TIME TO INSIGHT Episode 21, Shamus McGillicuddy, VP of Research, Network Infrastructure and Operations, at EMA discusses AI-driven NetOps ... 

Enterprise IT has become increasingly complex and fragmented. Organizations are juggling dozens — sometimes hundreds — of different tools for endpoint management, security, app delivery, and employee experience. Each one needs its own license, its own maintenance, and its own integration. The result is a patchwork of overlapping tools, data stuck in silos, security vulnerabilities, and IT teams are spending more time managing software than actually getting work done ...

2025 was the year everybody finally saw the cracks in the foundation. If you were running production workloads, you probably lived through at least one outage you could not explain to your executives without pulling up a diagram and a whiteboard ...

Data has never been more central to a greater portion of enterprise operations than it is today. From software development to marketing strategy, data has become an essential component for success. But as data use cases multiply, so too does the diversity of the data itself. This shift is pushing organizations toward increasingly complex data infrastructure ...

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For most of the cloud era, site reliability engineers (SREs) were measured by their ability to protect availability, maintain performance, and reduce the operational risk of change. Cost management was someone else's responsibility, typically finance, procurement, or a dedicated FinOps team. That separation of duties made sense when infrastructure was relatively static and cloud bills grew in predictable ways. But modern cloud-native systems don't behave that way ...