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State of Digital Transformation Report: DX Leaders Manage "the Complex" Better

Anand Raman
Newgen Software

The prevalence of digital today can hardly be overstated. And in the same vein, it is considered safe to assume that digital transformation (DX) would be a top priority for business and technology leaders today.

We've seen this growth in recent years, especially during the pandemic. To better understand this global phenomenon, we commissioned Eleven Market Research to survey 300 senior business and IT leaders in large enterprises around the world on the state of digital transformation. It was a diverse group, and there were a variety of intriguing findings. But we start with the most compelling discovery: We are at the very peak of interest in Digital Transformation, and 100% of the survey respondents were engaged in digital transformation.

Despite strong interest over the past decade, the actual investment in DX has been recent. While 100% of enterprises are now engaged with DX in some way, most (77%) have begun their DX journey within the past two years. And most are early stage, with a fourth (24%) at the discussion stage and half (49%) currently transforming. Only 27% say they have finished their DX efforts!

Key Findings from the Survey

The top three drivers of DX cited by enterprises are

■ Heightened customer expectations

■ Trying to keep up with an accelerated pace of business

■ And competitive pressures

Top challenges enterprises face when tackling digital transformation

■ Lack of management support: DX requires more than technology — it requires re-imagining complex business processes, often spanning different business units.

■ Cyber security concerns

■ Lack of in-house digital transformation experience: DX is new and spans a wide range of technologies like low code, AI/ML, RPA, omnichannel engagement tools, and technologies for handling unstructured content. Very few organizations have bench strength in these areas or access to a DX platform to take advantage of these technologies.

What parts of the business are enterprises focused on in their DX initiatives?

Enterprises are transforming everything — 68% are transforming front-end processes, 61% back-end, and 38% everything (end-to-end). But when we look at business processes, business information, and customer engagement, the results were evident — enterprises are more focused on transforming complex parts of their business than simpler parts.

For example, only half (50%) see transforming simple business processes being important, while nearly all (93%) see transforming complex business processes as important. It is the same with complex business information (91% versus 57%) and complex customer engagement (92% versus 6%).

Enterprises that are most successful in their DX efforts are doing these:

Lessons from the top tier:

■ More than SEVEN times as likely to be digitally transforming end-to-end (80% versus 11%)

■ Nearly FIVE times as likely to be engaged with low code (63% versus 13%)

■ 2.4 times as likely to say DX is extremely important (76% versus 32%)

Recommendations for Digitally Transforming Complex Business Applications

Here are three insights we suggest organizations focus on to maximize their digital transformation results:

Deliver frictionless customer experience by making it simple for customers to do business with you

You need to re-imagine your complex business processes to unlock simple. Clients don't care how complex your business is or if there are different departments and systems. The most successful organizations connect these moving parts by doing end-to-end automation and providing a simple, almost Amazon-like experience to their customers across products, channels, and journeys.

Ensure flawless operational execution to deliver a great customer experience

Focus on automating the full application — end-to-end. What that means is providing your employees and managers with the tools, data, and insights they need in an integrated manner, so they can perform their work most efficiently and make the best decisions. A great employee experience is critical to achieving operational excellence.

Choose a DX platform that lets you innovate faster

To be a market leader, you need to differentiate yourself, be a learning organization, and innovate faster. For that, your software should handle complexity and agility and adapt to your unique differentiators and strategy; it should let you configure your secret sauce and provide a way for you to learn and make changes easily. This will ensure you can be future-ready and innovate faster based on business strategy, market dynamics, and operational insights. The survey also shows that top-tier enterprises are using a wide variety of technologies to tame complex business processes, complex business information, and complex customer engagement while ensuring business agility. You may not be able to predict the future, but you can adapt fast and be nimble.

Anand Raman is EVP and COO at Newgen Software

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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 ...

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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 ...

State of Digital Transformation Report: DX Leaders Manage "the Complex" Better

Anand Raman
Newgen Software

The prevalence of digital today can hardly be overstated. And in the same vein, it is considered safe to assume that digital transformation (DX) would be a top priority for business and technology leaders today.

We've seen this growth in recent years, especially during the pandemic. To better understand this global phenomenon, we commissioned Eleven Market Research to survey 300 senior business and IT leaders in large enterprises around the world on the state of digital transformation. It was a diverse group, and there were a variety of intriguing findings. But we start with the most compelling discovery: We are at the very peak of interest in Digital Transformation, and 100% of the survey respondents were engaged in digital transformation.

Despite strong interest over the past decade, the actual investment in DX has been recent. While 100% of enterprises are now engaged with DX in some way, most (77%) have begun their DX journey within the past two years. And most are early stage, with a fourth (24%) at the discussion stage and half (49%) currently transforming. Only 27% say they have finished their DX efforts!

Key Findings from the Survey

The top three drivers of DX cited by enterprises are

■ Heightened customer expectations

■ Trying to keep up with an accelerated pace of business

■ And competitive pressures

Top challenges enterprises face when tackling digital transformation

■ Lack of management support: DX requires more than technology — it requires re-imagining complex business processes, often spanning different business units.

■ Cyber security concerns

■ Lack of in-house digital transformation experience: DX is new and spans a wide range of technologies like low code, AI/ML, RPA, omnichannel engagement tools, and technologies for handling unstructured content. Very few organizations have bench strength in these areas or access to a DX platform to take advantage of these technologies.

What parts of the business are enterprises focused on in their DX initiatives?

Enterprises are transforming everything — 68% are transforming front-end processes, 61% back-end, and 38% everything (end-to-end). But when we look at business processes, business information, and customer engagement, the results were evident — enterprises are more focused on transforming complex parts of their business than simpler parts.

For example, only half (50%) see transforming simple business processes being important, while nearly all (93%) see transforming complex business processes as important. It is the same with complex business information (91% versus 57%) and complex customer engagement (92% versus 6%).

Enterprises that are most successful in their DX efforts are doing these:

Lessons from the top tier:

■ More than SEVEN times as likely to be digitally transforming end-to-end (80% versus 11%)

■ Nearly FIVE times as likely to be engaged with low code (63% versus 13%)

■ 2.4 times as likely to say DX is extremely important (76% versus 32%)

Recommendations for Digitally Transforming Complex Business Applications

Here are three insights we suggest organizations focus on to maximize their digital transformation results:

Deliver frictionless customer experience by making it simple for customers to do business with you

You need to re-imagine your complex business processes to unlock simple. Clients don't care how complex your business is or if there are different departments and systems. The most successful organizations connect these moving parts by doing end-to-end automation and providing a simple, almost Amazon-like experience to their customers across products, channels, and journeys.

Ensure flawless operational execution to deliver a great customer experience

Focus on automating the full application — end-to-end. What that means is providing your employees and managers with the tools, data, and insights they need in an integrated manner, so they can perform their work most efficiently and make the best decisions. A great employee experience is critical to achieving operational excellence.

Choose a DX platform that lets you innovate faster

To be a market leader, you need to differentiate yourself, be a learning organization, and innovate faster. For that, your software should handle complexity and agility and adapt to your unique differentiators and strategy; it should let you configure your secret sauce and provide a way for you to learn and make changes easily. This will ensure you can be future-ready and innovate faster based on business strategy, market dynamics, and operational insights. The survey also shows that top-tier enterprises are using a wide variety of technologies to tame complex business processes, complex business information, and complex customer engagement while ensuring business agility. You may not be able to predict the future, but you can adapt fast and be nimble.

Anand Raman is EVP and COO at Newgen Software

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 ...