Skip to main content

Digital Transformation Drives Significant Business Performance Improvement

Gains Increase with Accelerated Adoption of Best Practices Such as Agile and DevOps
Kieran Taylor

A new survey by CA Technologies – Keeping Score: Why Digital Transformation Matters – demonstrates the strong connection between business performance and the technologies and practices that underpin digital transformation, yet reveals a significant opportunity for growth. The global study of senior level business and IT executives study further revealed that deepening adoption of practices such as agile, DevOps, API management and identity-centric security boosts business impact by up to 52 percent.

“The ascendancy of customer experience today is driving technology – specifically software – into the heart of every company’s business model,” said Otto Berkes, CTO at CA Technologies. In his new book – Digitally Remastered: Building Software into Your Business DNA – Berkes notes that, “The road to the future involves the creation of a modern software factory that thrives on an agile and efficient software development process that is constantly translating customer need into delivered experience.”

The research also introduces the Digital Transformation Business Impact Scorecard (BIS), a global ranking of countries and industries across 14 key performance indicators (KPIs) critical for digital transformation success.

The scorecard results clearly indicate that digital transformation is paying off with tangible benefits as respondents reported:

■ 74 percent report improvement in customer experience

■ 76 percent report improvement in digital reach

■ 33 percent increase in speed to market

■ 40 percent increase in customer satisfaction

■ 37 percent increase in new business revenue

Developing Countries Top the List

Against a global average BIS score of 53, many developing countries top the list – India (79), Thailand (71), Brazil (69), Indonesia (66) and Malaysia (64). The US scored 57 and all of the European countries scored lower.

Emerging and developing economies have more ability than mature countries to start their digital transformation efforts with a “clean slate” approach that has less legacy environments to deal with. Therefore, the payoffs can be faster and more significant.

From a vertical sector perspective, the top 5 industries were telecoms (59), banking & financial services (57), public sector (56), retail (54) and healthcare (53). The surprise performance of the public sector reconfirms the strong emphasis governments have been placing on leveraging the app economy and digital transformation to provide more jobs, increase tax revenue and provide better services to their citizens.

The research also explored the key technology choices and best practices businesses are deploying in their digital transformation efforts and what effect they have on business performance. To measure the impact, the research mapped the level of maturity of adoption of these practices against their Business Impact Scorecard results and found:

■ Expanding agile practices beyond development to embrace the entire enterprise boosts digital transformation business performance by 33 percent.

■ Building DevOps practices into the culture of the organization increase performance on the BIS by 35 percent.

■ Applying a more managed, life-cycle approach to APIs increases business impact scores by 52 percent.

■ Deploying identity-centric security which uses context, behavioral analytics and more adaptive and predictive approaches to breach detection boosts digital transformation business performance by 24 percent.

“Clearly, digital transformation is a journey and a common element in process improvement. With the critical role software now plays in helping customers execute their digital strategies, you could be doing well today, but you could be doing even better tomorrow. Becoming more advanced in the adoption of these key enabling technologies and practices should be at the top of every business executive’s agenda,” Berkes concluded.

Kieran Taylor is Senior Principal Product Manager for APM, CA Technologies .

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 Drives Significant Business Performance Improvement

Gains Increase with Accelerated Adoption of Best Practices Such as Agile and DevOps
Kieran Taylor

A new survey by CA Technologies – Keeping Score: Why Digital Transformation Matters – demonstrates the strong connection between business performance and the technologies and practices that underpin digital transformation, yet reveals a significant opportunity for growth. The global study of senior level business and IT executives study further revealed that deepening adoption of practices such as agile, DevOps, API management and identity-centric security boosts business impact by up to 52 percent.

“The ascendancy of customer experience today is driving technology – specifically software – into the heart of every company’s business model,” said Otto Berkes, CTO at CA Technologies. In his new book – Digitally Remastered: Building Software into Your Business DNA – Berkes notes that, “The road to the future involves the creation of a modern software factory that thrives on an agile and efficient software development process that is constantly translating customer need into delivered experience.”

The research also introduces the Digital Transformation Business Impact Scorecard (BIS), a global ranking of countries and industries across 14 key performance indicators (KPIs) critical for digital transformation success.

The scorecard results clearly indicate that digital transformation is paying off with tangible benefits as respondents reported:

■ 74 percent report improvement in customer experience

■ 76 percent report improvement in digital reach

■ 33 percent increase in speed to market

■ 40 percent increase in customer satisfaction

■ 37 percent increase in new business revenue

Developing Countries Top the List

Against a global average BIS score of 53, many developing countries top the list – India (79), Thailand (71), Brazil (69), Indonesia (66) and Malaysia (64). The US scored 57 and all of the European countries scored lower.

Emerging and developing economies have more ability than mature countries to start their digital transformation efforts with a “clean slate” approach that has less legacy environments to deal with. Therefore, the payoffs can be faster and more significant.

From a vertical sector perspective, the top 5 industries were telecoms (59), banking & financial services (57), public sector (56), retail (54) and healthcare (53). The surprise performance of the public sector reconfirms the strong emphasis governments have been placing on leveraging the app economy and digital transformation to provide more jobs, increase tax revenue and provide better services to their citizens.

The research also explored the key technology choices and best practices businesses are deploying in their digital transformation efforts and what effect they have on business performance. To measure the impact, the research mapped the level of maturity of adoption of these practices against their Business Impact Scorecard results and found:

■ Expanding agile practices beyond development to embrace the entire enterprise boosts digital transformation business performance by 33 percent.

■ Building DevOps practices into the culture of the organization increase performance on the BIS by 35 percent.

■ Applying a more managed, life-cycle approach to APIs increases business impact scores by 52 percent.

■ Deploying identity-centric security which uses context, behavioral analytics and more adaptive and predictive approaches to breach detection boosts digital transformation business performance by 24 percent.

“Clearly, digital transformation is a journey and a common element in process improvement. With the critical role software now plays in helping customers execute their digital strategies, you could be doing well today, but you could be doing even better tomorrow. Becoming more advanced in the adoption of these key enabling technologies and practices should be at the top of every business executive’s agenda,” Berkes concluded.

Kieran Taylor is Senior Principal Product Manager for APM, CA Technologies .

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 ...