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Modernizing the Digital Workplace

The rapid migration to work-from-home (WFH) during the COVID-19 pandemic made it harder, more complex and costly to deliver, support and secure digital workspaces, while at the same time creating new opportunities to turn disruption into transformation, today and in the future, according to a study authored by Freeform Dynamics, sponsored by Liquidware and IGEL.

Key findings from the report, Modernizing the Digital Workplace, confirm that the short-term success of the switch to WFH came with longer-term costs — technical and governance debts that must now be repaid. Yet, IT departments that choose to adopt modern desktop delivery models and platforms are more likely to see better outcomes in areas such as user satisfaction, cost of ownership, manageability, and security.

Need to Act Quickly Drove Most WFH Transitions

According to the report, the COVID-19 pandemic created a ground swirl of activity for enabling WFH that was significantly influenced by the following factors:

■ The need to act very quickly to keep the business running — 80%

■ Pressure to keep additional costs and overheads to a minimum — 73%

■ Supplier shortages of equipment limiting options — 72%

■ Need to minimize end user training requirements — 72%

■ Keep things as simple and supportable as possible — 70%

■ Short-term pragmatics trumping long-term strategy — 68%

Organizations Are Adopting or Planning Modern Desktop Delivery Solutions

The report also explores the different ways organizations delivered digital workspaces to users and what stands in the way of progress today, including technical debt, employee resistance to change and senior managers priorities lying elsewhere.

The vast majority of respondents (>65%) are either considering or are implementing the following tactics to move their end user computing environment forward:

■ Reduce dependency on "fat-client" computing model

■ Automate more of their delivery, monitoring and management activities

■ Adopt platforms designed to support modern desktop/application delivery

"Our research confirms that the rapid shift to hybrid working has left IT teams — and especially desktop admin teams — more over-worked and stressed than ever," stated Bryan Betts, Principal Analyst at Freeform Dynamics. "It also shows that if you carry on trying to do desktop delivery the old way, but in a hybrid world, there are clear risks that you'll see higher costs, increased security challenges, decreased flexibility and agility, and ultimately lower user satisfaction. Fortunately, when we dug into the data, our research also suggests a potential solution: use the hybrid transition and the need to pay back technical debt as an inflection point — as the opportunity to transform and modernize the desktop delivery process. There's a whole raft of ways to do this, such as thinner desktops and automated user management, but essentially they boil down to using modern technologies to build in greater consistency, flexibility, and security."

Methodology: The global online survey of 257 senior IT professionals from a range of industries in Germany, the UK and the United States was sponsored by Liquidware and IGEL and conducted by industry analyst firm Freeform Dynamics.

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Modernizing the Digital Workplace

The rapid migration to work-from-home (WFH) during the COVID-19 pandemic made it harder, more complex and costly to deliver, support and secure digital workspaces, while at the same time creating new opportunities to turn disruption into transformation, today and in the future, according to a study authored by Freeform Dynamics, sponsored by Liquidware and IGEL.

Key findings from the report, Modernizing the Digital Workplace, confirm that the short-term success of the switch to WFH came with longer-term costs — technical and governance debts that must now be repaid. Yet, IT departments that choose to adopt modern desktop delivery models and platforms are more likely to see better outcomes in areas such as user satisfaction, cost of ownership, manageability, and security.

Need to Act Quickly Drove Most WFH Transitions

According to the report, the COVID-19 pandemic created a ground swirl of activity for enabling WFH that was significantly influenced by the following factors:

■ The need to act very quickly to keep the business running — 80%

■ Pressure to keep additional costs and overheads to a minimum — 73%

■ Supplier shortages of equipment limiting options — 72%

■ Need to minimize end user training requirements — 72%

■ Keep things as simple and supportable as possible — 70%

■ Short-term pragmatics trumping long-term strategy — 68%

Organizations Are Adopting or Planning Modern Desktop Delivery Solutions

The report also explores the different ways organizations delivered digital workspaces to users and what stands in the way of progress today, including technical debt, employee resistance to change and senior managers priorities lying elsewhere.

The vast majority of respondents (>65%) are either considering or are implementing the following tactics to move their end user computing environment forward:

■ Reduce dependency on "fat-client" computing model

■ Automate more of their delivery, monitoring and management activities

■ Adopt platforms designed to support modern desktop/application delivery

"Our research confirms that the rapid shift to hybrid working has left IT teams — and especially desktop admin teams — more over-worked and stressed than ever," stated Bryan Betts, Principal Analyst at Freeform Dynamics. "It also shows that if you carry on trying to do desktop delivery the old way, but in a hybrid world, there are clear risks that you'll see higher costs, increased security challenges, decreased flexibility and agility, and ultimately lower user satisfaction. Fortunately, when we dug into the data, our research also suggests a potential solution: use the hybrid transition and the need to pay back technical debt as an inflection point — as the opportunity to transform and modernize the desktop delivery process. There's a whole raft of ways to do this, such as thinner desktops and automated user management, but essentially they boil down to using modern technologies to build in greater consistency, flexibility, and security."

Methodology: The global online survey of 257 senior IT professionals from a range of industries in Germany, the UK and the United States was sponsored by Liquidware and IGEL and conducted by industry analyst firm Freeform Dynamics.

Hot Topics

The Latest

If AI is the engine of a modern organization, then data engineering is the road system beneath it. You can build the most powerful engine in the world, but without paved roads, traffic signals, and bridges that can support its weight, it will stall. In many enterprises, the engine is ready. The roads are not ...

In the world of digital-first business, there is no tolerance for service outages. Businesses know that outages are the quickest way to lose money and customers. For smaller organizations, unplanned downtime could even force the business to close ... A new study from PagerDuty, The State of AI-First Operations, reveals that companies actively incorporating AI into operations now view operational resilience as a growth driver rather than a cost center. But how are they achieving it? ...

In live financial environments, capital markets software cannot pause for rebuilds. New capabilities are introduced as stacked technology layers to meet evolving demands while systems remain active, data keeps moving, and controls stay intact. AI is no exception, and its opportunities are significant: accelerated decision cycles, compressed manual workflows, and more effective operations across complex environments. The constraint isn't the models themselves, but the architectural environments they enter ...

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 ...