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IT Decision Makers Aligned on Key IT Trends

Pete Goldin
APMdigest

Business decision makers’ (BDMs) and IT decision makers’ (ITDMs) understanding of current IT trends are much closer than they are generally perceived to be, according to the new Dell State of IT Trends 2016 global study.

In the past, business and IT leaders had different levels of understanding of IT trends and technologies. However the study shows that over time, business and IT leaders’ perceptions of technology have evolved and more closely aligned as new technologies have entered the market and become increasingly critical drivers of an organization’s success.

The Dell State of IT Trends 2016 global study reveals a greater sophistication and alignment in understanding of IT trends between the two groups. The results indicate that IT and business leadership are better collaborating and having in-depth conversations about not only how technology works but how it can propel the business forward.

“There is a lingering misperception that business leaders are disconnected during strategic IT discussions, but times have changed,” said Matt Baker, Executive Director, Enterprise Strategy, Dell. ”This study reveals that there is an increasingly common understanding between business and IT decision makers on the key IT trends and the growth opportunities that IT can deliver.”

In today’s data-driven economy, companies need IT that is agile, efficient, scalable and capable of responding to business applications in real time. According to the Dell survey, increasing business productivity is the main IT consideration for both ITDMs (81 percent) and BDMs (77 percent), followed by growing the business (71 percent and 69 percent, respectively).

Global decision makers, in companies of all sizes and in both developed and developing markets, are most closely aligned on the following IT trends:

■ ITDMs (62 percent) and BDMs (51 percent) agree that cloud computing is the most important technology trend for their companies.

■ The ability to burst to public cloud as needed is important to both ITDMs (83 percent) and BDMs (74 percent)

■ 88 percent of ITDMs and 80 percent of BDMs say their organization is considering adopting a software-defined data center (SDDC), is in the process of transitioning, or has already completed the transition to one.

■ Global BDMs are more likely to say they are considering adopting SDDC, while global ITDMs are more likely to say they have already started the transition.

■ Both groups agree the benefits of SDDC are flexibility, simplicity, efficiency and cost-savings, although ITDMs also place a greater value on increased scalability (57 percent) than BDMs (40 percent).

■ By 2:1 margins, both ITDMs and BDMs say they will use more open data center technologies in the future.

■ 86 percent of ITDMs and 85 percent of BDMs agree that compute-centric is the best approach to gain a flexible, scalable and open data center.

In terms of technology spending for 2016, cloud is the main priority among both ITDMs (67 percent) and BDMs (59 percent). This is followed closely by data storage upgrades or purchase (54 percent and 48 percent, respectively).

Pete Goldin is Editor and Publisher of APMdigest

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IT Decision Makers Aligned on Key IT Trends

Pete Goldin
APMdigest

Business decision makers’ (BDMs) and IT decision makers’ (ITDMs) understanding of current IT trends are much closer than they are generally perceived to be, according to the new Dell State of IT Trends 2016 global study.

In the past, business and IT leaders had different levels of understanding of IT trends and technologies. However the study shows that over time, business and IT leaders’ perceptions of technology have evolved and more closely aligned as new technologies have entered the market and become increasingly critical drivers of an organization’s success.

The Dell State of IT Trends 2016 global study reveals a greater sophistication and alignment in understanding of IT trends between the two groups. The results indicate that IT and business leadership are better collaborating and having in-depth conversations about not only how technology works but how it can propel the business forward.

“There is a lingering misperception that business leaders are disconnected during strategic IT discussions, but times have changed,” said Matt Baker, Executive Director, Enterprise Strategy, Dell. ”This study reveals that there is an increasingly common understanding between business and IT decision makers on the key IT trends and the growth opportunities that IT can deliver.”

In today’s data-driven economy, companies need IT that is agile, efficient, scalable and capable of responding to business applications in real time. According to the Dell survey, increasing business productivity is the main IT consideration for both ITDMs (81 percent) and BDMs (77 percent), followed by growing the business (71 percent and 69 percent, respectively).

Global decision makers, in companies of all sizes and in both developed and developing markets, are most closely aligned on the following IT trends:

■ ITDMs (62 percent) and BDMs (51 percent) agree that cloud computing is the most important technology trend for their companies.

■ The ability to burst to public cloud as needed is important to both ITDMs (83 percent) and BDMs (74 percent)

■ 88 percent of ITDMs and 80 percent of BDMs say their organization is considering adopting a software-defined data center (SDDC), is in the process of transitioning, or has already completed the transition to one.

■ Global BDMs are more likely to say they are considering adopting SDDC, while global ITDMs are more likely to say they have already started the transition.

■ Both groups agree the benefits of SDDC are flexibility, simplicity, efficiency and cost-savings, although ITDMs also place a greater value on increased scalability (57 percent) than BDMs (40 percent).

■ By 2:1 margins, both ITDMs and BDMs say they will use more open data center technologies in the future.

■ 86 percent of ITDMs and 85 percent of BDMs agree that compute-centric is the best approach to gain a flexible, scalable and open data center.

In terms of technology spending for 2016, cloud is the main priority among both ITDMs (67 percent) and BDMs (59 percent). This is followed closely by data storage upgrades or purchase (54 percent and 48 percent, respectively).

Pete Goldin is Editor and Publisher of APMdigest

Hot Topics

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 ...