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Digital Transformation Projects Show Increasing Improvements

Despite the challenges of the last two years, enterprises have made significant progress with digital transformation — 79% of enterprises have made significant, transformative or even revolutionary improvements to the end user experience through digital transformation over the past year, compared to 73% in 2019 and 72% in 2020, according to Digital Transformation — Lessons Learned and Strategic Setbacks, a global survey of 650 IT leaders conducted by Couchbase.

And the outlook is optimistic — on average, enterprises plan to increase their investment in digital transformation by 46% over the next 12 months.

However, enterprises still need to be aware of digital transformation challenges — 81% of enterprises had digital transformation projects fail, suffer delays or be scaled back in the past year, at an average cost of $4.12 million.

A further 82% were prevented from pursuing digital transformation projects that they wanted to implement due to factors such as a lack of resources or funds (reported by 26%), a lack of skills to deliver the project (24%) or the complexity of implementing technologies (23%).

The consequences of these failed or missed projects can be more than wasted funds — 55% of enterprises that suffered issues with their digital transformation projects had to delay their strategic goals by three months or more, or reset them completely.

Other potential consequences of failing to keep pace identified by respondents include losing valuable staff to more innovative competitors — whether in IT (41%) or other areas of the business (40%); struggling to secure finance or undergo a successful IPO (31%); or going out of business or being absorbed by a competitor (26%).

"The progress in organizations' digital transformation ambitions over the past 12 months is clear, and there's a bright future ahead," said Ravi Mayuram, cto at Couchbase. "Ideally we'll now begin to see enterprises putting into practice projects and ideas that weren't previously considered possible. For this to become reality, organizations need to learn the lessons of the last two years and address the challenges they face, or a large proportion of that 46% increase in investment may be wasted, too. IT teams need support from across the business, together with the resources they need, and the right skills and technology to succeed. From embracing the cloud, to making the best use of data, enterprises that can make use of new technologies will be best placed to thrive."

Lessons Learned

The past two years have had a transformative impact on IT teams.

95% of respondents have implemented or investigated digital transformation opportunities that would not have been realistic at the end of 2019 — from hybrid working (nearly 47%) to moving to the cloud (46%), replacing legacy technology and processes (42%), changing the way the business operates (36%) and creating new business offerings (35%).

Other findings included:
 
■ 99% of enterprises say they learned lessons from the pandemic: including the importance of supporting remote and hybrid working (45%); the need for continuous investment and research in digital transformation technologies (41%); and how to better engage the wider business in digital transformation strategy (34%).

■ Investment priorities are shifting compared to 2019: While security is still the top priority for enterprises, and hybrid working received an understandable boost, modernizing existing technology has fallen as a priority, while adopting new technologies has grown — suggesting enterprises recognize they need completely new, modern tools in order to face the future.

■ Ways of working have changed: 88% of respondents say their digital transformation goals have fundamentally changed over the last two years; 95% have accelerated their application modernization strategies; 90% have changed the way they budget for digital transformation; and 93% say digital transformation projects over the last two years represent permanent changes to the way their business's way of operating or working.

■ End users are the focus: 88% of respondents said their digital transformation projects had been driven more by changes in user behavior than by creating new business opportunities.

Digital transformation ... needs to be the responsibility of, and driven by, the whole C-suite, rather than left solely in IT's hands

"This is an exciting time for the IT industry. We are entering a period of extreme creativity, as organizations shift from digital transformation driven by reacting to outside events, such as the pandemic or competitors' progress, to a more proactive approach driven by ideas from within the business," continued Mayuram. "For this new creativity to work, it needs to be driven from the top. Digital transformation shouldn't only be aligned to strategic goals. As a transformative business asset it needs to be the responsibility of, and driven by, the whole C-suite, rather than left solely in IT's hands. If businesses can do this and put the lessons they learned from the last two years into practice, then the future looks very bright indeed."

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 ...

Digital Transformation Projects Show Increasing Improvements

Despite the challenges of the last two years, enterprises have made significant progress with digital transformation — 79% of enterprises have made significant, transformative or even revolutionary improvements to the end user experience through digital transformation over the past year, compared to 73% in 2019 and 72% in 2020, according to Digital Transformation — Lessons Learned and Strategic Setbacks, a global survey of 650 IT leaders conducted by Couchbase.

And the outlook is optimistic — on average, enterprises plan to increase their investment in digital transformation by 46% over the next 12 months.

However, enterprises still need to be aware of digital transformation challenges — 81% of enterprises had digital transformation projects fail, suffer delays or be scaled back in the past year, at an average cost of $4.12 million.

A further 82% were prevented from pursuing digital transformation projects that they wanted to implement due to factors such as a lack of resources or funds (reported by 26%), a lack of skills to deliver the project (24%) or the complexity of implementing technologies (23%).

The consequences of these failed or missed projects can be more than wasted funds — 55% of enterprises that suffered issues with their digital transformation projects had to delay their strategic goals by three months or more, or reset them completely.

Other potential consequences of failing to keep pace identified by respondents include losing valuable staff to more innovative competitors — whether in IT (41%) or other areas of the business (40%); struggling to secure finance or undergo a successful IPO (31%); or going out of business or being absorbed by a competitor (26%).

"The progress in organizations' digital transformation ambitions over the past 12 months is clear, and there's a bright future ahead," said Ravi Mayuram, cto at Couchbase. "Ideally we'll now begin to see enterprises putting into practice projects and ideas that weren't previously considered possible. For this to become reality, organizations need to learn the lessons of the last two years and address the challenges they face, or a large proportion of that 46% increase in investment may be wasted, too. IT teams need support from across the business, together with the resources they need, and the right skills and technology to succeed. From embracing the cloud, to making the best use of data, enterprises that can make use of new technologies will be best placed to thrive."

Lessons Learned

The past two years have had a transformative impact on IT teams.

95% of respondents have implemented or investigated digital transformation opportunities that would not have been realistic at the end of 2019 — from hybrid working (nearly 47%) to moving to the cloud (46%), replacing legacy technology and processes (42%), changing the way the business operates (36%) and creating new business offerings (35%).

Other findings included:
 
■ 99% of enterprises say they learned lessons from the pandemic: including the importance of supporting remote and hybrid working (45%); the need for continuous investment and research in digital transformation technologies (41%); and how to better engage the wider business in digital transformation strategy (34%).

■ Investment priorities are shifting compared to 2019: While security is still the top priority for enterprises, and hybrid working received an understandable boost, modernizing existing technology has fallen as a priority, while adopting new technologies has grown — suggesting enterprises recognize they need completely new, modern tools in order to face the future.

■ Ways of working have changed: 88% of respondents say their digital transformation goals have fundamentally changed over the last two years; 95% have accelerated their application modernization strategies; 90% have changed the way they budget for digital transformation; and 93% say digital transformation projects over the last two years represent permanent changes to the way their business's way of operating or working.

■ End users are the focus: 88% of respondents said their digital transformation projects had been driven more by changes in user behavior than by creating new business opportunities.

Digital transformation ... needs to be the responsibility of, and driven by, the whole C-suite, rather than left solely in IT's hands

"This is an exciting time for the IT industry. We are entering a period of extreme creativity, as organizations shift from digital transformation driven by reacting to outside events, such as the pandemic or competitors' progress, to a more proactive approach driven by ideas from within the business," continued Mayuram. "For this new creativity to work, it needs to be driven from the top. Digital transformation shouldn't only be aligned to strategic goals. As a transformative business asset it needs to be the responsibility of, and driven by, the whole C-suite, rather than left solely in IT's hands. If businesses can do this and put the lessons they learned from the last two years into practice, then the future looks very bright indeed."

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 ...