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Gartner: Digital KPIs Are Crucial to Measuring Success

Digital disruptors are emerging in all industries, and the need for CIOs to embrace digital transformation is urgent, according to Gartner, Inc. In fact, once digital revenue for a sector hits 20 percent of total revenue, digital transformation can’t be stopped. Digital disruption has been seen in industries such as in books, clothing, and it’s beginning in other industries such as traditional grocery markets.

Peter Sondergaard, EVP and Global Head of Research at Gartner explained that digital disruptors are doing two things: finding new opportunities, and attacking the weakness of incumbents.

"Digital disruptors serve unmet customer demand. They find ways to use excess capacity in the supply chain, exploit new platforms for awareness and marketing, and they also capitalize on new distribution channels," Sondergaard said. "Digital also exposes the weaknesses of incumbents."

Measure Success with Digital KPIs

However, Sondergaard said the incumbents are not sitting still. Many large, established companies are trying to rise above the competition. To better understand best in class practices, it’s important to develop enterprise-wide digital key performance indicators (KPIs).

"Digital KPIs will become your enterprise compass, built into the performance objectives of every leader in the organization. These digital KPIs must measure leading, not lagging, indicators," Sondergaard said. "The large ecosystem players measure themselves by the number of registered partners in their ecosystem. You might measure how many ecosystems you participate in, and the conversion rates in each. Digital allows for deeper, outcome-driven measures, and they apply to all industries."

Get Digital to Stay Competitive

The new breed of CEO believes their companies must use technology to gain a competitive advantage.

Gartner data shows that two-thirds of all business leaders believe that their companies must pick up the pace of digitalization to remain competitive. The new breed of CEO believes their companies must use technology to gain a competitive advantage.

"That puts CIOs in the spotlight. You play a part in the digital transformation," Sondergaard said. "But it does not mean the exact same thing to every CIO. To meet the digital challenge, you must understand both what will be expected of you, and what you truly aspire to be."

Three Situational Roles for the CIO

Within the enterprise, on any given day, and with any given partner, the leadership the CIO provides may vary. There are three situational roles for the CIO that include: a partner CIO; a builder CIO; or a pioneer CIO.

■ The IT Partner CIO is expected to operate in a more transactional way, with a focus on managing services, core IT, value for money, while also preparing for digital.

■ The Digital Builder CIO is designing and enabling new products and services, and working with others across the enterprise.

■ The Digital Pioneer CIO is acting an entrepreneur, leveraging technologies to build new capabilities, new business models, and new revenue streams to achieve digital value and scale.

"The digital value may be either optimization – just efficiency – or full transformation in the form of growth. It is best used to invent something entirely new," Sondergaard said. "This is critical because if your organization is not creating new digital business models, or new ways to engage constituents or customers, you are falling behind."

Sondergaard pointed out that scale does not merely mean getting bigger. The largest organizations are not the only ones that will win. In the emerging world of interconnected platforms and ecosystems, smaller organizations can very rapidly compete with the largest.

Having the Talent to Succeed

Looking ahead to 2018 and beyond, Gartner anticipates three high demand skills:

■ Artificial Intelligence (AI)

■ Digital Security

■ Internet of Things (IoT)

"We believe that AI will be critical to solving both digital security and IoT challenges," Sondergaard said. "It will be an essential defense, creating a continuously adaptive risk and trust response. So, prioritize your investment in AI, beginning at the top with AI capable leaders."

Many enterprises will not be able to hire the people necessary in AI and security to drive digital transformation. There is a shortage of qualified candidates in these fields. CIOs will need to partner with their human resources organization to find a solution, and that will include leveraging AI.

"CEOs who are making a priority of digital are challenging their Chief Human Resources Officers with creating an appealing digital workplace environment that will attract and retain the best people," Sondergaard concluded. "The solution for CIOs and their HR partners is AI. About 10 percent of CIOs are now using AI in the recruitment and talent management process. It will help you find people, and it will help you develop your people. It allows you to combine the best capabilities of humans with the best capabilities of machine learning systems."

The Latest

Like most digital transformation shifts, organizations often prioritize productivity and leave security and observability to keep pace. This usually translates to both the mass implementation of new technology and fragmented monitoring and observability (M&O) tooling. In the era of AI and varied cloud architecture, a disparate observability function can be dangerous. IT teams will lack a complete picture of their IT environment, making it harder to diagnose issues while slowing down mean time to resolve (MTTR). In fact, according to recent data from the SolarWinds State of Monitoring & Observability Report, 77% of IT personnel said the lack of visibility across their on-prem and cloud architecture was an issue ...

In MEAN TIME TO INSIGHT Episode 23, Shamus McGillicuddy, VP of Research, Network Infrastructure and Operations, at EMA discusses the NetOps labor shortage ... 

Technology management is evolving, and in turn, so is the scope of FinOps. The FinOps Foundation recently updated their mission statement from "advancing the people who manage the value of cloud" to "advancing the people who manage the value of technology." This seemingly small change solidifies a larger evolution: FinOps practitioners have organically expanded to be focused on more than just cloud cost optimization. Today, FinOps teams are largely — and quickly — expanding their job descriptions, evolving into a critical function for managing the full value of technology ...

Enterprises are under pressure to scale AI quickly. Yet despite considerable investment, adoption continues to stall. One of the most overlooked reasons is vendor sprawl ... In reality, no organization deliberately sets out to create sprawling vendor ecosystems. More often, complexity accumulates over time through well-intentioned initiatives, such as enterprise-wide digital transformation efforts, point solutions, or decentralized sourcing strategies ...

Nearly every conversation about AI eventually circles back to compute. GPUs dominate the headlines while cloud platforms compete for workloads and model benchmarks drive investment decisions. But underneath that noise, a quieter infrastructure challenge is taking shape. The real bottleneck in enterprise AI is not processing power, it is the ability to store, manage and retrieve the relentless volumes of data that AI systems generate, consume and multiply ...

The 2026 Observability Survey from Grafana Labs paints a vivid picture of an industry maturing fast, where AI is welcomed with careful conditions, SaaS economics are reshaping spending decisions, complexity remains a defining challenge, and open standards continue to underpin it all ...

The observability industry has an evolving relationship with AI. We're not skeptics, but it's clear that trust in AI must be earned ... In Grafana Labs' annual Observability Survey, 92% said they see real value in AI surfacing anomalies before they cause downtime. Another 91% endorsed AI for forecasting and root cause analysis. So while the demand is there, customers need it to be trustworthy, as the survey also found that the practitioners most enthusiastic about AI are also the most insistent on explainability ...

In the modern enterprise, the conversation around AI has moved past skepticism toward a stage of active adoption. According to our 2026 State of IT Trends Report: The Human Side of Autonomous AI, nearly 90% of IT professionals view AI as a net positive, and this optimism is well-founded. We are seeing agentic AI move beyond simple automation to actively streamlining complex data insights and eliminating the manual toil that has long hindered innovation. However, as we integrate these autonomous agents into our ecosystems, the fundamental DNA of the IT role is evolving ...

AI workloads require an enormous amount of computing power ... What's also becoming abundantly clear is just how quickly AI's computing needs are leading to enterprise systems failure. According to Cockroach Labs' State of AI Infrastructure 2026 report, enterprise systems are much closer to failure than their organizations realize. The report ... suggests AI scale could cause widespread failures in as little as one year — making it a clear risk for business performance and reliability.

The quietest week your engineering team has ever had might also be its best. No alarms going off. No escalations. No frantic Teams or Slack threads at 2 a.m. Everything humming along exactly as it should. And somewhere in a leadership meeting, someone looks at the metrics dashboard, sees a flat line of incidents and says: "Seems like things are pretty calm over there. Do we really need all those people?" ... I've spent many years in engineering, and this pattern keeps repeating ...

Gartner: Digital KPIs Are Crucial to Measuring Success

Digital disruptors are emerging in all industries, and the need for CIOs to embrace digital transformation is urgent, according to Gartner, Inc. In fact, once digital revenue for a sector hits 20 percent of total revenue, digital transformation can’t be stopped. Digital disruption has been seen in industries such as in books, clothing, and it’s beginning in other industries such as traditional grocery markets.

Peter Sondergaard, EVP and Global Head of Research at Gartner explained that digital disruptors are doing two things: finding new opportunities, and attacking the weakness of incumbents.

"Digital disruptors serve unmet customer demand. They find ways to use excess capacity in the supply chain, exploit new platforms for awareness and marketing, and they also capitalize on new distribution channels," Sondergaard said. "Digital also exposes the weaknesses of incumbents."

Measure Success with Digital KPIs

However, Sondergaard said the incumbents are not sitting still. Many large, established companies are trying to rise above the competition. To better understand best in class practices, it’s important to develop enterprise-wide digital key performance indicators (KPIs).

"Digital KPIs will become your enterprise compass, built into the performance objectives of every leader in the organization. These digital KPIs must measure leading, not lagging, indicators," Sondergaard said. "The large ecosystem players measure themselves by the number of registered partners in their ecosystem. You might measure how many ecosystems you participate in, and the conversion rates in each. Digital allows for deeper, outcome-driven measures, and they apply to all industries."

Get Digital to Stay Competitive

The new breed of CEO believes their companies must use technology to gain a competitive advantage.

Gartner data shows that two-thirds of all business leaders believe that their companies must pick up the pace of digitalization to remain competitive. The new breed of CEO believes their companies must use technology to gain a competitive advantage.

"That puts CIOs in the spotlight. You play a part in the digital transformation," Sondergaard said. "But it does not mean the exact same thing to every CIO. To meet the digital challenge, you must understand both what will be expected of you, and what you truly aspire to be."

Three Situational Roles for the CIO

Within the enterprise, on any given day, and with any given partner, the leadership the CIO provides may vary. There are three situational roles for the CIO that include: a partner CIO; a builder CIO; or a pioneer CIO.

■ The IT Partner CIO is expected to operate in a more transactional way, with a focus on managing services, core IT, value for money, while also preparing for digital.

■ The Digital Builder CIO is designing and enabling new products and services, and working with others across the enterprise.

■ The Digital Pioneer CIO is acting an entrepreneur, leveraging technologies to build new capabilities, new business models, and new revenue streams to achieve digital value and scale.

"The digital value may be either optimization – just efficiency – or full transformation in the form of growth. It is best used to invent something entirely new," Sondergaard said. "This is critical because if your organization is not creating new digital business models, or new ways to engage constituents or customers, you are falling behind."

Sondergaard pointed out that scale does not merely mean getting bigger. The largest organizations are not the only ones that will win. In the emerging world of interconnected platforms and ecosystems, smaller organizations can very rapidly compete with the largest.

Having the Talent to Succeed

Looking ahead to 2018 and beyond, Gartner anticipates three high demand skills:

■ Artificial Intelligence (AI)

■ Digital Security

■ Internet of Things (IoT)

"We believe that AI will be critical to solving both digital security and IoT challenges," Sondergaard said. "It will be an essential defense, creating a continuously adaptive risk and trust response. So, prioritize your investment in AI, beginning at the top with AI capable leaders."

Many enterprises will not be able to hire the people necessary in AI and security to drive digital transformation. There is a shortage of qualified candidates in these fields. CIOs will need to partner with their human resources organization to find a solution, and that will include leveraging AI.

"CEOs who are making a priority of digital are challenging their Chief Human Resources Officers with creating an appealing digital workplace environment that will attract and retain the best people," Sondergaard concluded. "The solution for CIOs and their HR partners is AI. About 10 percent of CIOs are now using AI in the recruitment and talent management process. It will help you find people, and it will help you develop your people. It allows you to combine the best capabilities of humans with the best capabilities of machine learning systems."

The Latest

Like most digital transformation shifts, organizations often prioritize productivity and leave security and observability to keep pace. This usually translates to both the mass implementation of new technology and fragmented monitoring and observability (M&O) tooling. In the era of AI and varied cloud architecture, a disparate observability function can be dangerous. IT teams will lack a complete picture of their IT environment, making it harder to diagnose issues while slowing down mean time to resolve (MTTR). In fact, according to recent data from the SolarWinds State of Monitoring & Observability Report, 77% of IT personnel said the lack of visibility across their on-prem and cloud architecture was an issue ...

In MEAN TIME TO INSIGHT Episode 23, Shamus McGillicuddy, VP of Research, Network Infrastructure and Operations, at EMA discusses the NetOps labor shortage ... 

Technology management is evolving, and in turn, so is the scope of FinOps. The FinOps Foundation recently updated their mission statement from "advancing the people who manage the value of cloud" to "advancing the people who manage the value of technology." This seemingly small change solidifies a larger evolution: FinOps practitioners have organically expanded to be focused on more than just cloud cost optimization. Today, FinOps teams are largely — and quickly — expanding their job descriptions, evolving into a critical function for managing the full value of technology ...

Enterprises are under pressure to scale AI quickly. Yet despite considerable investment, adoption continues to stall. One of the most overlooked reasons is vendor sprawl ... In reality, no organization deliberately sets out to create sprawling vendor ecosystems. More often, complexity accumulates over time through well-intentioned initiatives, such as enterprise-wide digital transformation efforts, point solutions, or decentralized sourcing strategies ...

Nearly every conversation about AI eventually circles back to compute. GPUs dominate the headlines while cloud platforms compete for workloads and model benchmarks drive investment decisions. But underneath that noise, a quieter infrastructure challenge is taking shape. The real bottleneck in enterprise AI is not processing power, it is the ability to store, manage and retrieve the relentless volumes of data that AI systems generate, consume and multiply ...

The 2026 Observability Survey from Grafana Labs paints a vivid picture of an industry maturing fast, where AI is welcomed with careful conditions, SaaS economics are reshaping spending decisions, complexity remains a defining challenge, and open standards continue to underpin it all ...

The observability industry has an evolving relationship with AI. We're not skeptics, but it's clear that trust in AI must be earned ... In Grafana Labs' annual Observability Survey, 92% said they see real value in AI surfacing anomalies before they cause downtime. Another 91% endorsed AI for forecasting and root cause analysis. So while the demand is there, customers need it to be trustworthy, as the survey also found that the practitioners most enthusiastic about AI are also the most insistent on explainability ...

In the modern enterprise, the conversation around AI has moved past skepticism toward a stage of active adoption. According to our 2026 State of IT Trends Report: The Human Side of Autonomous AI, nearly 90% of IT professionals view AI as a net positive, and this optimism is well-founded. We are seeing agentic AI move beyond simple automation to actively streamlining complex data insights and eliminating the manual toil that has long hindered innovation. However, as we integrate these autonomous agents into our ecosystems, the fundamental DNA of the IT role is evolving ...

AI workloads require an enormous amount of computing power ... What's also becoming abundantly clear is just how quickly AI's computing needs are leading to enterprise systems failure. According to Cockroach Labs' State of AI Infrastructure 2026 report, enterprise systems are much closer to failure than their organizations realize. The report ... suggests AI scale could cause widespread failures in as little as one year — making it a clear risk for business performance and reliability.

The quietest week your engineering team has ever had might also be its best. No alarms going off. No escalations. No frantic Teams or Slack threads at 2 a.m. Everything humming along exactly as it should. And somewhere in a leadership meeting, someone looks at the metrics dashboard, sees a flat line of incidents and says: "Seems like things are pretty calm over there. Do we really need all those people?" ... I've spent many years in engineering, and this pattern keeps repeating ...