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Failure to Complete Digital Transformation Initiatives Will Negatively Impact Revenue

Four out of five businesses (81 percent) are expected to see a negative impact on revenue in the next 12 months if they fail to complete digital transformation initiatives, according to the MuleSoft Connectivity Benchmark Report 2018.

While IT budgets have remained relatively static, IT Decision Makers (ITDMs) have seen project volumes grow, on average, by 27 percent. As a result, IT departments are being stretched even thinner. Most concerning, the research reveals an IT delivery gap, with two-thirds of ITDMs admitting they were unable to deliver all projects asked of them last year.


Integration Headaches are Creating an IT Delivery Gap and Hindering Innovation

One of the main contributors to the growing IT delivery gap is integration, which continues to be a significant drain on time, budget and resources. The survey results show the vast majority (89 percent) of ITDMs believe that integration challenges are slowing or hindering digital transformation within their organizations.

■ According to Gartner, “Worldwide IT spending is projected to total $3.7 trillion in 2018, an increase of 4.5 percent from 2017.” Based on Mulesoft's survey results, organizations are spending nearly a quarter (22 percent) of their annual IT budgets on integration and thus could equate to over $800 billion spent on integration in 2018.

■ On average, organizations are using 1,020 individual applications across their business. However, on average, a relatively small number (29 percent) of these applications are currently integrated or connected together.

■ A significant number (81 percent) of ITDMs admit that point-to-point integration has created some of the biggest headaches their organizations have ever seen. This is clearly a source of frustration for many ITDMs; in fact, at least 80 percent agree “point-to-point integration must die in the next five years if organizations are to reduce costs, deliver on business needs faster, remain competitive, deliver innovation faster, and extract more value from data.”

“When it comes to digital transformation, it is no longer a case of ‘if’ but ‘when’ for organizations. However, there is growing impatience at a business level to make the goals of digital transformation a reality right now, as those that fall behind will start to lose revenue and market share fast,” said Ross Mason, Founder and VP of Product Strategy, MuleSoft. “Today, CIOs and IT decision makers are under a huge amount of pressure to meet business expectations, but it’s clear that they are struggling to keep up. Integration challenges are creating an IT delivery gap, and organizations can no longer afford to let it drain time, resources and budget.”

Inefficient IT Operating Models are Slowing the Pace of Change

It is clear that organizations need to adopt a more efficient IT operating model. Yet, this is easier said than done as ITDMs continue to face the age-old dilemma of ‘keeping the lights on’ versus innovating. Furthermore, when it comes to building new applications and services, it is very common for development teams to work in isolation, meaning organizations are unable to discover and reuse the assets that have been created.

■ ITDMs continue to spend the majority (63 percent) of their time on “running the business” activity compared to innovation and development projects.

■ 93 percent of ITDMs admit that their application development process could be more efficient.

■ Just a third of organizations’ internal IT software assets and components are available for developers to reuse. 83 percent of ITDMs say their organization does not always reuse software assets when it comes to developing new products and services.

API Strategies are Delivering Greater Efficiency, Innovation and Revenue

For organizations to deliver digital transformation and innovate quicker, they need to enable self-serve IT, where the wider business can do more on its own without relying on central IT for each project. By making IT assets discoverable and reusable via APIs, organizations can become more agile and competitive to drive revenue.

■ 93 percent of ITDMs believe that IT self service will be critical to their digital transformation success. From those organizations that own APIs, more than half (58 percent) have been able to leverage them to increase productivity; while nearly half (48 percent) have increased innovation.

■ By leveraging APIs, organizations have been able to increase employee engagement and collaboration (43 percent), meet line-of-business demands quicker (35 percent), increase IT self service (35 percent) and decrease operational costs (34 percent).

■ On average, ITDMs reported that a quarter of their organization’s revenue is now generated from APIs and API-related implementations. More than a third (35 percent) of respondents stated over a quarter of their organization’s revenue came from APIs.

Marshall Van Alstyne, MIT digital fellow and Boston University professor, commented: “As the digital economy continues to grow, more organizations are starting to realize the benefits of an API strategy and the financial benefits it can bring. MuleSoft’s Connectivity Benchmark Report corroborates our own findings that there is a positive relationship between the intensity of API usage and financial performance.”

“Digital transformation isn’t just a matter of buying new software and hoping it solves all problems. In today’s digital economy, more data, applications and devices need to be connected than ever before – yet organizations are suffering from the chronic integration issues of the past. However, through application networks, organizations can make more of their IT assets reusable and make application development much more efficient. This will truly transform how IT functions in the modern enterprise and deliver greater value to the business,” added Mason.

Methodology: The survey was commissioned by MuleSoft and independently carried out by Vanson Bourne. The total sample size was 650 IT Decision Makers (ITDMs) working at organizations with 1,000+ employees: US (250 ITDMs), UK (100 ITDMs), Germany (75 ITDMs), Netherlands (50 ITDMs), Australia (50 ITDMs), Singapore (50 ITDMs) and China (75 ITDMs). Fieldwork was undertaken in November / December 2017. The results in the 2018 Connectivity Benchmark Report cannot be compared to previous years due to the change in research firm and methodology.

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Failure to Complete Digital Transformation Initiatives Will Negatively Impact Revenue

Four out of five businesses (81 percent) are expected to see a negative impact on revenue in the next 12 months if they fail to complete digital transformation initiatives, according to the MuleSoft Connectivity Benchmark Report 2018.

While IT budgets have remained relatively static, IT Decision Makers (ITDMs) have seen project volumes grow, on average, by 27 percent. As a result, IT departments are being stretched even thinner. Most concerning, the research reveals an IT delivery gap, with two-thirds of ITDMs admitting they were unable to deliver all projects asked of them last year.


Integration Headaches are Creating an IT Delivery Gap and Hindering Innovation

One of the main contributors to the growing IT delivery gap is integration, which continues to be a significant drain on time, budget and resources. The survey results show the vast majority (89 percent) of ITDMs believe that integration challenges are slowing or hindering digital transformation within their organizations.

■ According to Gartner, “Worldwide IT spending is projected to total $3.7 trillion in 2018, an increase of 4.5 percent from 2017.” Based on Mulesoft's survey results, organizations are spending nearly a quarter (22 percent) of their annual IT budgets on integration and thus could equate to over $800 billion spent on integration in 2018.

■ On average, organizations are using 1,020 individual applications across their business. However, on average, a relatively small number (29 percent) of these applications are currently integrated or connected together.

■ A significant number (81 percent) of ITDMs admit that point-to-point integration has created some of the biggest headaches their organizations have ever seen. This is clearly a source of frustration for many ITDMs; in fact, at least 80 percent agree “point-to-point integration must die in the next five years if organizations are to reduce costs, deliver on business needs faster, remain competitive, deliver innovation faster, and extract more value from data.”

“When it comes to digital transformation, it is no longer a case of ‘if’ but ‘when’ for organizations. However, there is growing impatience at a business level to make the goals of digital transformation a reality right now, as those that fall behind will start to lose revenue and market share fast,” said Ross Mason, Founder and VP of Product Strategy, MuleSoft. “Today, CIOs and IT decision makers are under a huge amount of pressure to meet business expectations, but it’s clear that they are struggling to keep up. Integration challenges are creating an IT delivery gap, and organizations can no longer afford to let it drain time, resources and budget.”

Inefficient IT Operating Models are Slowing the Pace of Change

It is clear that organizations need to adopt a more efficient IT operating model. Yet, this is easier said than done as ITDMs continue to face the age-old dilemma of ‘keeping the lights on’ versus innovating. Furthermore, when it comes to building new applications and services, it is very common for development teams to work in isolation, meaning organizations are unable to discover and reuse the assets that have been created.

■ ITDMs continue to spend the majority (63 percent) of their time on “running the business” activity compared to innovation and development projects.

■ 93 percent of ITDMs admit that their application development process could be more efficient.

■ Just a third of organizations’ internal IT software assets and components are available for developers to reuse. 83 percent of ITDMs say their organization does not always reuse software assets when it comes to developing new products and services.

API Strategies are Delivering Greater Efficiency, Innovation and Revenue

For organizations to deliver digital transformation and innovate quicker, they need to enable self-serve IT, where the wider business can do more on its own without relying on central IT for each project. By making IT assets discoverable and reusable via APIs, organizations can become more agile and competitive to drive revenue.

■ 93 percent of ITDMs believe that IT self service will be critical to their digital transformation success. From those organizations that own APIs, more than half (58 percent) have been able to leverage them to increase productivity; while nearly half (48 percent) have increased innovation.

■ By leveraging APIs, organizations have been able to increase employee engagement and collaboration (43 percent), meet line-of-business demands quicker (35 percent), increase IT self service (35 percent) and decrease operational costs (34 percent).

■ On average, ITDMs reported that a quarter of their organization’s revenue is now generated from APIs and API-related implementations. More than a third (35 percent) of respondents stated over a quarter of their organization’s revenue came from APIs.

Marshall Van Alstyne, MIT digital fellow and Boston University professor, commented: “As the digital economy continues to grow, more organizations are starting to realize the benefits of an API strategy and the financial benefits it can bring. MuleSoft’s Connectivity Benchmark Report corroborates our own findings that there is a positive relationship between the intensity of API usage and financial performance.”

“Digital transformation isn’t just a matter of buying new software and hoping it solves all problems. In today’s digital economy, more data, applications and devices need to be connected than ever before – yet organizations are suffering from the chronic integration issues of the past. However, through application networks, organizations can make more of their IT assets reusable and make application development much more efficient. This will truly transform how IT functions in the modern enterprise and deliver greater value to the business,” added Mason.

Methodology: The survey was commissioned by MuleSoft and independently carried out by Vanson Bourne. The total sample size was 650 IT Decision Makers (ITDMs) working at organizations with 1,000+ employees: US (250 ITDMs), UK (100 ITDMs), Germany (75 ITDMs), Netherlands (50 ITDMs), Australia (50 ITDMs), Singapore (50 ITDMs) and China (75 ITDMs). Fieldwork was undertaken in November / December 2017. The results in the 2018 Connectivity Benchmark Report cannot be compared to previous years due to the change in research firm and methodology.

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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 ...