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IT Has Proven Rapid Digital Transformation is Possible - What's Next?

Paul Davenport
AppNeta

The pandemic effectively "shocked" enterprises into pushing the gas on tech initiatives that, on the one hand, support a more flexible, decentralized workforce, but that were by-and-large already on the roadmap, regardless of whether businesses had been planning to support widespread work-from-home or not.

Retiring legacy, hardware-based applications and workflows that committed workers to sharing an office for more flexible and scalable cloud tools, for instance, was already in progress (though relatively slowly) at many businesses well before the pandemic made cloud migration a top priority. Showing business leaders that accelerated "digital transformations" like these could even be pulled off (let alone successfully) was just one business myth that was dispelled as part of the pandemic.

The second myth (at least among wary enterprise decision makers) was that IT teams couldn't successfully deploy network infrastructures that were fit to support widespread WFH. Not only has this been dispelled (again, many of the required changes to enable WFH go hand-in-hand with long-simmering digital overhauls), but many newly-remote teams are actually performing better in their new environment.

However, just because enterprise IT have proven in many cases that they can support an almost fully remote workforce doesn't mean that this will be the enterprise standard going forward.

A study conducted by workplace chat app Blind found that among the biggest Silicon Valley tech companies, for instance, pandemic-induced WFH is leading to workers feeling 68 percent more burnt out than they did last year. While the feeling is subjective, the increase can't be ignored. That said, workers in other industries like healthcare are seeing tangible benefits in conducting work at a distance.

So while WFH will never be a fit for every worker, now that both IT and knowledge workers have debunked the misconceptions of their most skeptical enterprise leaders, it'll be hard to convince everyone to "go back" to the old way once restrictions are finally lifted.

All of this goes to show that as much as we've learned about the positives of WFH in this global "experiment" in decentralization, it's too soon to fully say goodbye to the office as we knew it before the pandemic. Instead, companies will need to adapt to support a more fluid, "anywhere operations" model for work that will allow employees to enjoy similar experiences with the job wherever they log on.

For network operations teams going forward, the biggest challenge will be keeping up with the accelerated pace of change now that they've proven to skeptical business leaders their efficiency (and efficacy) in successfully transforming the network. This will require teams to put a greater emphasis on leveraging comprehensive visibility into end-user performance wherever users are located now that the footprint for potential errors has expanded with workers at home.

Supporting this "new normal" calls for enterprise IT teams to synchronize visibility across their rapidly evolving network footprint to ensure they can monitor and manage the digital experiences of users leveraging any app, from any location, at any point in time. With users logging onto the network from all over the map and adopting new technologies to stay in sync with their times, enterprise IT teams have to seek out visibility into network environments that they don't inherently have clear insights into or control over to ensure successful deployment.

Paul Davenport is Marketing Communications Manager at AppNeta

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IT and line-of-business teams are increasingly aligned in their efforts to close the data gap and drive greater collaboration to alleviate IT bottlenecks and offload growing demands on IT teams, according to The 2025 Automation Benchmark Report: Insights from IT Leaders on Enterprise Automation & the Future of AI-Driven Businesses from Jitterbit ...

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2020 was the equivalent of a wedding with a top-shelf open bar. As businesses scrambled to adjust to remote work, digital transformation accelerated at breakneck speed. New software categories emerged overnight. Tech stacks ballooned with all sorts of SaaS apps solving ALL the problems — often with little oversight or long-term integration planning, and yes frequently a lot of duplicated functionality ... But now the music's faded. The lights are on. Everyone from the CIO to the CFO is checking the bill. Welcome to the Great SaaS Hangover ...

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Overall outage frequency and the general level of reported severity continue to decline, according to the Outage Analysis 2025 from Uptime Institute. However, cyber security incidents are on the rise and often have severe, lasting impacts ...

IT Has Proven Rapid Digital Transformation is Possible - What's Next?

Paul Davenport
AppNeta

The pandemic effectively "shocked" enterprises into pushing the gas on tech initiatives that, on the one hand, support a more flexible, decentralized workforce, but that were by-and-large already on the roadmap, regardless of whether businesses had been planning to support widespread work-from-home or not.

Retiring legacy, hardware-based applications and workflows that committed workers to sharing an office for more flexible and scalable cloud tools, for instance, was already in progress (though relatively slowly) at many businesses well before the pandemic made cloud migration a top priority. Showing business leaders that accelerated "digital transformations" like these could even be pulled off (let alone successfully) was just one business myth that was dispelled as part of the pandemic.

The second myth (at least among wary enterprise decision makers) was that IT teams couldn't successfully deploy network infrastructures that were fit to support widespread WFH. Not only has this been dispelled (again, many of the required changes to enable WFH go hand-in-hand with long-simmering digital overhauls), but many newly-remote teams are actually performing better in their new environment.

However, just because enterprise IT have proven in many cases that they can support an almost fully remote workforce doesn't mean that this will be the enterprise standard going forward.

A study conducted by workplace chat app Blind found that among the biggest Silicon Valley tech companies, for instance, pandemic-induced WFH is leading to workers feeling 68 percent more burnt out than they did last year. While the feeling is subjective, the increase can't be ignored. That said, workers in other industries like healthcare are seeing tangible benefits in conducting work at a distance.

So while WFH will never be a fit for every worker, now that both IT and knowledge workers have debunked the misconceptions of their most skeptical enterprise leaders, it'll be hard to convince everyone to "go back" to the old way once restrictions are finally lifted.

All of this goes to show that as much as we've learned about the positives of WFH in this global "experiment" in decentralization, it's too soon to fully say goodbye to the office as we knew it before the pandemic. Instead, companies will need to adapt to support a more fluid, "anywhere operations" model for work that will allow employees to enjoy similar experiences with the job wherever they log on.

For network operations teams going forward, the biggest challenge will be keeping up with the accelerated pace of change now that they've proven to skeptical business leaders their efficiency (and efficacy) in successfully transforming the network. This will require teams to put a greater emphasis on leveraging comprehensive visibility into end-user performance wherever users are located now that the footprint for potential errors has expanded with workers at home.

Supporting this "new normal" calls for enterprise IT teams to synchronize visibility across their rapidly evolving network footprint to ensure they can monitor and manage the digital experiences of users leveraging any app, from any location, at any point in time. With users logging onto the network from all over the map and adopting new technologies to stay in sync with their times, enterprise IT teams have to seek out visibility into network environments that they don't inherently have clear insights into or control over to ensure successful deployment.

Paul Davenport is Marketing Communications Manager at AppNeta

The Latest

AI is the catalyst for significant investment in data teams as enterprises require higher-quality data to power their AI applications, according to the State of Analytics Engineering Report from dbt Labs ...

Misaligned architecture can lead to business consequences, with 93% of respondents reporting negative outcomes such as service disruptions, high operational costs and security challenges ...

A Gartner analyst recently suggested that GenAI tools could create 25% time savings for network operational teams. Where might these time savings come from? How are GenAI tools helping NetOps teams today, and what other tasks might they take on in the future as models continue improving? In general, these savings come from automating or streamlining manual NetOps tasks ...

IT and line-of-business teams are increasingly aligned in their efforts to close the data gap and drive greater collaboration to alleviate IT bottlenecks and offload growing demands on IT teams, according to The 2025 Automation Benchmark Report: Insights from IT Leaders on Enterprise Automation & the Future of AI-Driven Businesses from Jitterbit ...

A large majority (86%) of data management and AI decision makers cite protecting data privacy as a top concern, with 76% of respondents citing ROI on data privacy and AI initiatives across their organization, according to a new Harris Poll from Collibra ...

According to Gartner, Inc. the following six trends will shape the future of cloud over the next four years, ultimately resulting in new ways of working that are digital in nature and transformative in impact ...

2020 was the equivalent of a wedding with a top-shelf open bar. As businesses scrambled to adjust to remote work, digital transformation accelerated at breakneck speed. New software categories emerged overnight. Tech stacks ballooned with all sorts of SaaS apps solving ALL the problems — often with little oversight or long-term integration planning, and yes frequently a lot of duplicated functionality ... But now the music's faded. The lights are on. Everyone from the CIO to the CFO is checking the bill. Welcome to the Great SaaS Hangover ...

Regardless of OpenShift being a scalable and flexible software, it can be a pain to monitor since complete visibility into the underlying operations is not guaranteed ... To effectively monitor an OpenShift environment, IT administrators should focus on these five key elements and their associated metrics ...

An overwhelming majority of IT leaders (95%) believe the upcoming wave of AI-powered digital transformation is set to be the most impactful and intensive seen thus far, according to The Science of Productivity: AI, Adoption, And Employee Experience, a new report from Nexthink ...

Overall outage frequency and the general level of reported severity continue to decline, according to the Outage Analysis 2025 from Uptime Institute. However, cyber security incidents are on the rise and often have severe, lasting impacts ...