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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."

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For decades, trust in the digital workplace rested on familiar signals. We trusted faces on video calls, voices on the phone, and emails that appeared to come from people we knew. These cues felt human and intuitive. They anchored how decisions were made, approvals were granted, and access was authorized. AI-powered deepfakes have quietly broken that model ...

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Over the past few years, large language models (LLMs) have revolutionized the software industry. Given their ability to excel at multi-step reasoning, LLMs have helped enterprises streamline workflows and adapt to the unknown. However, employing such models comes with sky-high costs, latency issues, and limited flexibility. In the realm of IT operations, it is generally wiser to employ smaller, domain-specific models instead ...

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New Relic surveyed IT and engineering leaders from the media and entertainment (M&E) sector to understand what's working — and where challenges persist with their observability practices. The findings reveal how M&E organizations are navigating rising platform complexity, audience expectations, and AI-driven change. Below are five takeaways that stand out ...

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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

I've spent a lot of time in the channel, and one thing I keep coming back to is this: a partner program is only as good as what it looks like in the field. Many programs look great on paper, but when a partner is in front of a customer navigating a complex hybrid environment or trying to make the case for AI-powered observability, the gap between what a vendor promises and what it actually delivers becomes very clear, very fast ...

Enterprises today operate in a real-time environment where uninterrupted access to trusted data has become a baseline expectation for users, applications and automated systems. Traditional DataOps models, built on manual effort and human triage, cannot keep pace with this always active demand. AI agents are emerging as the operational backbone, ensuring consistent data availability, reinforcing trustworthiness and enabling a level of scale that manual processes cannot achieve ...

For decades, trust in the digital workplace rested on familiar signals. We trusted faces on video calls, voices on the phone, and emails that appeared to come from people we knew. These cues felt human and intuitive. They anchored how decisions were made, approvals were granted, and access was authorized. AI-powered deepfakes have quietly broken that model ...

Cloud migration was supposed to be a one-way door. For most enterprises, it turns out it isn't. Cloud data repatriation is a real and growing trend. A new survey ... finds that 89% of organizations plan to expand their on-premises infrastructure footprint over the next two years — and 75% have already moved at least some workloads back from public cloud in the past 24 months. The findings point to a broad rethinking of where data belongs ...

Over the past few years, large language models (LLMs) have revolutionized the software industry. Given their ability to excel at multi-step reasoning, LLMs have helped enterprises streamline workflows and adapt to the unknown. However, employing such models comes with sky-high costs, latency issues, and limited flexibility. In the realm of IT operations, it is generally wiser to employ smaller, domain-specific models instead ...

For years, DevOps teams operated under a simple assumption: collect enough telemetry, and you can find and fix any problem. That assumption is breaking down. Modern enterprises now operate across microservices, hybrid cloud environments, APIs, Kubernetes, and highly automated delivery pipelines. Releases happen continuously, dependencies shift constantly, and failures spread faster than teams can diagnose them ...

New Relic surveyed IT and engineering leaders from the media and entertainment (M&E) sector to understand what's working — and where challenges persist with their observability practices. The findings reveal how M&E organizations are navigating rising platform complexity, audience expectations, and AI-driven change. Below are five takeaways that stand out ...

Let me start with something I've seen play out more times than I can count. A team hits a wall with the cloud. Costs creep up, then spike. Performance starts to feel inconsistent. Someone in finance asks a simple question like "why did this double?" and nobody has a clean answer ... Maybe this isn't the right place for everything. That realization feels like a breakthrough, like you've identified the problem. In reality, you've just identified the starting line ...

In MEAN TIME TO INSIGHT Episode 24, Shamus McGillicuddy, VP of Research, Network Infrastructure and Operations, at EMA discusses network observability tool sprawl ... 

In cloud-native systems, scaling is often as simple as moving a slider. For on-premise databases, the stakes are different. Over-provisioning hardware is expensive. Under-provisioning leads to performance bottlenecks that are difficult to fix once the equipment is in the rack ...