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Only 5% of Large Companies Prepared for Digital Transformation

Pete Goldin
APMdigest

A majority of senior IT leaders and decision-making managers of large companies surveyed around the world indicate their organizations have yet to fully embrace the aspects of IT Transformation needed to remain competitive, according to a new study conducted by Enterprise Strategy Group (ESG), commissioned by Dell EMC.

While there is a clear imperative for companies to transform their legacy IT, digital transformation is becoming the driving force to making IT Transformation a top priority. However the ESG 2017 IT Transformation Maturity Curve study shows 95% of survey respondents indicate their organizations are at risk of falling behind a smaller group of industry peers that are transforming their IT infrastructures, processes and delivery methods to accelerate their goals of becoming digital businesses.

Many organizations still measure application cycle times in months, if not years; have siloed infrastructures; and continue to grapple with rigid legacy architectures – all barriers to undertaking a successful digital transformation.

Adam DeMattia, Director of Research, ESG, explained: “Legacy IT is largely unprepared to meet the requirements of the new digital business: application cycle times measured in months, if not years; siloed infrastructure that prohibits organizations from viewing their data holistically; performance bottlenecks that impact end-user experience in a world that demands constant availability and response times; rigid architectures that force organizations to make forklift upgrades as requirements change; and traditional provisioning processes in which IT is often seen as a barrier rather than an enabler for the business. Organizations must resolve this conflict between Digital Transformation goals and today’s IT reality if the business is to meet its ultimate objectives.”

Based on the global survey responses, the 1,000 participating organizations were segmented into the following four IT Transformation maturity stages:

■ Stage 1 – Legacy (12%): falls short on many – if not all – of the dimensions of IT Transformation in the ESG study

■ Stage 2 – Emerging (42%): showing progress in IT Transformation but having minimal deployment of modern data center technologies

■ Stage 3 – Evolving (41%): showing commitment to IT Transformation and having a moderate deployment of modern data center technologies and IT delivery methods

■ Stage 4 – Transformed (5%): furthest along in IT Transformation initiativesy

The majority of respondents (71%) agree that IT Transformation is essential to ongoing business competitiveness. Of the “Transformed” companies, 85% believe their organizations are in a "very strong" or "strong" position to compete and succeed in their market over the next few years contrasted with 43% of the least mature companies.

The “Transformed” organizations report the most progress in leveraging IT resources to speed product innovation and time to market; automating manual processes and tasks; and running IT as a profit center rather than a cost center.

These companies:

■ (96%) Exceeded revenue targets last year, more than 2X the least mature

■ Are 8X more likely than the least mature organizations to report a highly cooperative relationship between IT and the business

■ Made “excellent progress” running IT as a profit center rather than a cost center (7X more likely than the least mature)

■ Are 7X more likely than the least mature organizations to have IT viewed by the business as a competitive differentiator

■ Leverage IT resources to speed product innovation and time to market (6X more likely than the least mature organizations)

John McKnight, VP of Research and Analyst Services, ESG, said: “Companies today increasingly rely on technology to grow and improve all aspects of their business. However, ESG’s research found that fully ‘Transformed’ IT organizations are admittedly rare at this time. The good news is that there are incremental benefits to be had by making any progress along the maturity curve, which can be achieved by emulating the behaviors of these ‘Transformed’ organizations.”

According to ESG, the adoption of modern data center technologies, such as scale-out storage systems and converged/hyper-converged infrastructure, can improve the agility and responsiveness of infrastructure provisioning, IT project delivery and application development.

The study found:

■ 54% of all respondents use converged or hyper-converged infrastructure to support applications

■ 58% of all respondents have adopted scale-out storage systems in some capacity

■ Roughly 50% of respondents are committed to software-defined as a long-term strategy and have begun to implement, evaluate or plan for software-defined technologies

According to ESG, the adoption of modern IT processes - such as self-service provisioning capabilities, running IT like a public cloud and use of DevOps methodologies - can be an attribute of a successfully transformed company.

The study found:

■ 26% of all respondents have “extensive” or “established” self-service capabilities

■ 65% of all respondents have made “excellent” or “acceptable” progress toward providing end users with the same ability to provision IT resources that they can get from a public cloud provider

■ 43% of respondents claim “extensive” or “good” adoption of formal DevOps principles and best practices

IT Transformation is often correlated with a more cooperative and effective relationship between IT and the business, which was validated by the research.

The study found:

■ 36% of IT organizations and their outcomes are evaluated by the C-suite or board of directors monthly, and 38% are evaluated quarterly

■ 39% have the most senior IT executive reporting directly to the CEO

■ 61% of the least mature organizations indicate their line of business stakeholders view IT as a “stable service provider, but ultimately a cost center”

“These findings mirror how the vast majority of customers are telling us they need to optimize their existing infrastructures to take advantage of digital-age opportunities,” said David Goulden, President of Dell EMC. "However, the research shows that most respondents are falling behind a small and elite set of competitors who have cracked the IT Transformation code, and they’re competing more vigorously because of it. As organizations progress in their IT Transformation investments, they can overcome the conflict between legacy IT and digital business initiatives to realize their goals, speed time to market and increase competitiveness.”

Methodology: The Dell EMC-sponsored research was conducted by Enterprise Strategy Group between Dec. 9, 2016, and Jan. 5, 2017, with a web-based survey of 1,000 senior IT executives, decision-making managers and staff familiar with their organizations’ current and future IT budget and spending plans and involved in their organizations’ infrastructure purchase processes in the US, Brazil, UK, Germany, France, China, Japan and Australia. The respondents represented a variety of industries and enterprise-class organizations.

Pete Goldin is Editor and Publisher of APMdigest

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Only 5% of Large Companies Prepared for Digital Transformation

Pete Goldin
APMdigest

A majority of senior IT leaders and decision-making managers of large companies surveyed around the world indicate their organizations have yet to fully embrace the aspects of IT Transformation needed to remain competitive, according to a new study conducted by Enterprise Strategy Group (ESG), commissioned by Dell EMC.

While there is a clear imperative for companies to transform their legacy IT, digital transformation is becoming the driving force to making IT Transformation a top priority. However the ESG 2017 IT Transformation Maturity Curve study shows 95% of survey respondents indicate their organizations are at risk of falling behind a smaller group of industry peers that are transforming their IT infrastructures, processes and delivery methods to accelerate their goals of becoming digital businesses.

Many organizations still measure application cycle times in months, if not years; have siloed infrastructures; and continue to grapple with rigid legacy architectures – all barriers to undertaking a successful digital transformation.

Adam DeMattia, Director of Research, ESG, explained: “Legacy IT is largely unprepared to meet the requirements of the new digital business: application cycle times measured in months, if not years; siloed infrastructure that prohibits organizations from viewing their data holistically; performance bottlenecks that impact end-user experience in a world that demands constant availability and response times; rigid architectures that force organizations to make forklift upgrades as requirements change; and traditional provisioning processes in which IT is often seen as a barrier rather than an enabler for the business. Organizations must resolve this conflict between Digital Transformation goals and today’s IT reality if the business is to meet its ultimate objectives.”

Based on the global survey responses, the 1,000 participating organizations were segmented into the following four IT Transformation maturity stages:

■ Stage 1 – Legacy (12%): falls short on many – if not all – of the dimensions of IT Transformation in the ESG study

■ Stage 2 – Emerging (42%): showing progress in IT Transformation but having minimal deployment of modern data center technologies

■ Stage 3 – Evolving (41%): showing commitment to IT Transformation and having a moderate deployment of modern data center technologies and IT delivery methods

■ Stage 4 – Transformed (5%): furthest along in IT Transformation initiativesy

The majority of respondents (71%) agree that IT Transformation is essential to ongoing business competitiveness. Of the “Transformed” companies, 85% believe their organizations are in a "very strong" or "strong" position to compete and succeed in their market over the next few years contrasted with 43% of the least mature companies.

The “Transformed” organizations report the most progress in leveraging IT resources to speed product innovation and time to market; automating manual processes and tasks; and running IT as a profit center rather than a cost center.

These companies:

■ (96%) Exceeded revenue targets last year, more than 2X the least mature

■ Are 8X more likely than the least mature organizations to report a highly cooperative relationship between IT and the business

■ Made “excellent progress” running IT as a profit center rather than a cost center (7X more likely than the least mature)

■ Are 7X more likely than the least mature organizations to have IT viewed by the business as a competitive differentiator

■ Leverage IT resources to speed product innovation and time to market (6X more likely than the least mature organizations)

John McKnight, VP of Research and Analyst Services, ESG, said: “Companies today increasingly rely on technology to grow and improve all aspects of their business. However, ESG’s research found that fully ‘Transformed’ IT organizations are admittedly rare at this time. The good news is that there are incremental benefits to be had by making any progress along the maturity curve, which can be achieved by emulating the behaviors of these ‘Transformed’ organizations.”

According to ESG, the adoption of modern data center technologies, such as scale-out storage systems and converged/hyper-converged infrastructure, can improve the agility and responsiveness of infrastructure provisioning, IT project delivery and application development.

The study found:

■ 54% of all respondents use converged or hyper-converged infrastructure to support applications

■ 58% of all respondents have adopted scale-out storage systems in some capacity

■ Roughly 50% of respondents are committed to software-defined as a long-term strategy and have begun to implement, evaluate or plan for software-defined technologies

According to ESG, the adoption of modern IT processes - such as self-service provisioning capabilities, running IT like a public cloud and use of DevOps methodologies - can be an attribute of a successfully transformed company.

The study found:

■ 26% of all respondents have “extensive” or “established” self-service capabilities

■ 65% of all respondents have made “excellent” or “acceptable” progress toward providing end users with the same ability to provision IT resources that they can get from a public cloud provider

■ 43% of respondents claim “extensive” or “good” adoption of formal DevOps principles and best practices

IT Transformation is often correlated with a more cooperative and effective relationship between IT and the business, which was validated by the research.

The study found:

■ 36% of IT organizations and their outcomes are evaluated by the C-suite or board of directors monthly, and 38% are evaluated quarterly

■ 39% have the most senior IT executive reporting directly to the CEO

■ 61% of the least mature organizations indicate their line of business stakeholders view IT as a “stable service provider, but ultimately a cost center”

“These findings mirror how the vast majority of customers are telling us they need to optimize their existing infrastructures to take advantage of digital-age opportunities,” said David Goulden, President of Dell EMC. "However, the research shows that most respondents are falling behind a small and elite set of competitors who have cracked the IT Transformation code, and they’re competing more vigorously because of it. As organizations progress in their IT Transformation investments, they can overcome the conflict between legacy IT and digital business initiatives to realize their goals, speed time to market and increase competitiveness.”

Methodology: The Dell EMC-sponsored research was conducted by Enterprise Strategy Group between Dec. 9, 2016, and Jan. 5, 2017, with a web-based survey of 1,000 senior IT executives, decision-making managers and staff familiar with their organizations’ current and future IT budget and spending plans and involved in their organizations’ infrastructure purchase processes in the US, Brazil, UK, Germany, France, China, Japan and Australia. The respondents represented a variety of industries and enterprise-class organizations.

Pete Goldin is Editor and Publisher of APMdigest

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 ...