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Meet the Newest Profit Center to Join the Enterprise: The IT Department

No Longer Just a Cost Center, IT Must Think Long-Term and Leave a New Legacy of ROI
Tim Flower

For decades IT departments have been regarded as "cost centers" — departments and entire divisions made up of necessary expenses which don't produce any measurable profit but instead help companies avoid losses by ensuring uptime, addressing end-user concerns and implementing C-suite approved technologies. As noted by the Harvard Business Review (HBR), however, this attitude is changing: Companies now recognize the potential of IT departments to drive total ROI and boost the bottom line.

To live up to this new role, however, IT must lose the short-term mindset, which, to be fair, has often been necessitated by one-off and sudden-impact issues. IT managers must adopt a long-term strategy in order to create new revenue, improve profitability, future-proof the corporate technology landscape and leave an ROI legacy.

Changing Conversation

According to a recent Forrester report, companies are coming around to a new way of thinking about IT, especially as applied to end-user experience management. Businesses now recognize the need to obtain ground-floor data about how end-users interact with IT systems "in the wild" instead of relying on pre-designed stress tests or waiting for front-line staff to submit IT tickets. The former method puts tech pros in a reactive rather than proactive position and encourages end-users to seek out their own answers, bypassing IT.

The Forrester data tells the tale: While 28 percent of companies put improved end-user productivity among their top-five goals, cutting the cost of end-user support was similarly prioritized. Leading their priorities was cutting the total cost of end-user operations using active monitoring tools. While not a revenue generator in isolation, this priority speaks to the emerging long view of IT departments: If real-time monitoring tools can reduce the costs of end-user operations by quickly addressing issues and determining root causes, this money can be re-invested into more "profitable" areas of IT such as deep-data analytics or social media tools.

Getting SaaSy

Another key driver of the emerging long-term view is the huge Software-as-a-Service market. As noted by WhaTech, the SaaS market is headed for a $170 billion-dollar value by 2025 as companies leverage the power of off-premise software. But it's not the only game in town — according to Forrester, companies must now bridge cloud-native, SaaS and packaged applications, all of which run on different platforms and may not play nicely together. The result? Thirty-six percent of companies surveyed by Forrester have adopted multiple clouds to ensure their SaaS stable can coexist with cloud-native offerings and in-house applications.

While this might seem short-sighted on the surface, it's a testament to the necessary future of IT: As cloud becomes ubiquitous, it only makes sense for companies to adopt the ideal combination of on-site, public and private clouds to cover all the bases. In effect, this doesn't limit IT potential but rather expands it, giving departments the room and resources they need to develop profitable initiatives rather than remaining locked in by limited network compatibility and outdated views of IT as a cost-center.

The role of IT is making a transition from a cost center that is simply chasing problems, to a profit center that is thinking long-term to implement strategic initiatives that leave a legacy of ROI. In doing so, IT needs to implement innovative tools and technologies, and work in collaboration enterprise-wide to better understand the needs and challenges of end-users to ensure a better business outcome.

Hot Topics

The Latest

For decades, enterprise networks were designed around a simple assumption: work happened inside the office. Applications lived in centralized data centers, employees connected through internal infrastructure, and security focused on protecting the perimeter that surrounded everything ... But the way organizations operate today bears little resemblance to that environment. Cloud platforms host critical applications, employees connect from homes and airports as often as they do from offices, and partners collaborate through shared systems that exist far beyond corporate walls. In short, the corporate network no longer resembles the environment it was designed to protect ...

As an analyst who researches how IT organizations design, build, and operate their networks, I find that network data is a constant source of pain. Network teams struggle with data quality, fragmentation, authority, access, and trust. And these issues undermine everything they try to do. Here are the numbers: Only 45% of network teams are completely confident in the accuracy of their network source of truth, which documents the intent of their network ...

The 2026 Global Data Center Survey from Uptime Institute reveals an industry navigating workforce constraints, escalating outage expenses, even as rising costs remain the top concern for management teams ...

The next observability gap may not be in the code. It may be under the rack. That sounds strange until you think about how AI incidents actually feel in the middle of an investigation ... The application dashboard may be accurate. It may also be stopping at the wrong boundary. AI systems depend on software, but they also depend on a dense physical stack: racks, power paths, thermal margin, maintenance activity and, in many environments, liquid cooling. Those physical dependencies can change slowly before they look like a software incident ...

Certificate expiration is the rare outage you can see coming. Every TLS certificate carries the date it stops working, so the moment it will begin breaking connections is knowable in advance. That's what makes an expired certificate such a frustrating way to lose a service. What's changing now is how often that date comes around ...

Enterprises operate different combinations of workloads across cloud, hybrid and multicloud environments. For business-critical workloads, teams need to consider monitoring and observability early so they can detect health issues, investigate failures, and understand operational impact. Organizations place workloads on cloud platforms based on a combination of technical requirements, economics, existing dependencies, organizational standards, and business priorities. Their monitoring priorities therefore depend on what they operate and where those systems run. Those priorities will not look the same for every organization ...

Top-performing businesses prioritize data-driven decision making, enabling leaders to move from intuition and gut feel towards evidence-based judgment. But that judgment is only sound when the data underpinning decisions is accurate. With incident management, data accuracy is particularly important. Long-term revenue, customer trust, and operational stability depend on high-quality data that enables teams to quickly identify and address the root cause of major incidents. Against this backdrop, governance becomes a critical endeavor to ensure the right data drives the right action ...

In MEAN TIME TO INSIGHT Episode 26, Shamus McGillicuddy, VP of Research, Network Infrastructure and Operations, at EMA discusses network compliance ... 

Most production autonomous agents do not run in a vacuum. They run inside cloud infrastructure: virtual machines, containers, pods, managed clusters or private servers. That is where most operations teams start monitoring. Is the VM alive? Is the container running? Did the pod restart? Is memory stable? Is CPU too high? Did the health check pass? Those signals are useful. They tell you whether the shell around the agent is alive. They do not tell you whether the agent inside is actually operational ...

Enterprise IT environments have never been more observable ... Yet many organizations still grapple with outages, lengthy incident resolution cycles, and increasing complexity. Most teams do not suffer from a shortage of data. They struggle to determine what deserves attention and what action to take next ... Enterprise IT operations must move beyond monitoring and visibility. The next stage of maturity is decision operations, an approach that helps teams make faster, better-informed decisions ...

Meet the Newest Profit Center to Join the Enterprise: The IT Department

No Longer Just a Cost Center, IT Must Think Long-Term and Leave a New Legacy of ROI
Tim Flower

For decades IT departments have been regarded as "cost centers" — departments and entire divisions made up of necessary expenses which don't produce any measurable profit but instead help companies avoid losses by ensuring uptime, addressing end-user concerns and implementing C-suite approved technologies. As noted by the Harvard Business Review (HBR), however, this attitude is changing: Companies now recognize the potential of IT departments to drive total ROI and boost the bottom line.

To live up to this new role, however, IT must lose the short-term mindset, which, to be fair, has often been necessitated by one-off and sudden-impact issues. IT managers must adopt a long-term strategy in order to create new revenue, improve profitability, future-proof the corporate technology landscape and leave an ROI legacy.

Changing Conversation

According to a recent Forrester report, companies are coming around to a new way of thinking about IT, especially as applied to end-user experience management. Businesses now recognize the need to obtain ground-floor data about how end-users interact with IT systems "in the wild" instead of relying on pre-designed stress tests or waiting for front-line staff to submit IT tickets. The former method puts tech pros in a reactive rather than proactive position and encourages end-users to seek out their own answers, bypassing IT.

The Forrester data tells the tale: While 28 percent of companies put improved end-user productivity among their top-five goals, cutting the cost of end-user support was similarly prioritized. Leading their priorities was cutting the total cost of end-user operations using active monitoring tools. While not a revenue generator in isolation, this priority speaks to the emerging long view of IT departments: If real-time monitoring tools can reduce the costs of end-user operations by quickly addressing issues and determining root causes, this money can be re-invested into more "profitable" areas of IT such as deep-data analytics or social media tools.

Getting SaaSy

Another key driver of the emerging long-term view is the huge Software-as-a-Service market. As noted by WhaTech, the SaaS market is headed for a $170 billion-dollar value by 2025 as companies leverage the power of off-premise software. But it's not the only game in town — according to Forrester, companies must now bridge cloud-native, SaaS and packaged applications, all of which run on different platforms and may not play nicely together. The result? Thirty-six percent of companies surveyed by Forrester have adopted multiple clouds to ensure their SaaS stable can coexist with cloud-native offerings and in-house applications.

While this might seem short-sighted on the surface, it's a testament to the necessary future of IT: As cloud becomes ubiquitous, it only makes sense for companies to adopt the ideal combination of on-site, public and private clouds to cover all the bases. In effect, this doesn't limit IT potential but rather expands it, giving departments the room and resources they need to develop profitable initiatives rather than remaining locked in by limited network compatibility and outdated views of IT as a cost-center.

The role of IT is making a transition from a cost center that is simply chasing problems, to a profit center that is thinking long-term to implement strategic initiatives that leave a legacy of ROI. In doing so, IT needs to implement innovative tools and technologies, and work in collaboration enterprise-wide to better understand the needs and challenges of end-users to ensure a better business outcome.

Hot Topics

The Latest

For decades, enterprise networks were designed around a simple assumption: work happened inside the office. Applications lived in centralized data centers, employees connected through internal infrastructure, and security focused on protecting the perimeter that surrounded everything ... But the way organizations operate today bears little resemblance to that environment. Cloud platforms host critical applications, employees connect from homes and airports as often as they do from offices, and partners collaborate through shared systems that exist far beyond corporate walls. In short, the corporate network no longer resembles the environment it was designed to protect ...

As an analyst who researches how IT organizations design, build, and operate their networks, I find that network data is a constant source of pain. Network teams struggle with data quality, fragmentation, authority, access, and trust. And these issues undermine everything they try to do. Here are the numbers: Only 45% of network teams are completely confident in the accuracy of their network source of truth, which documents the intent of their network ...

The 2026 Global Data Center Survey from Uptime Institute reveals an industry navigating workforce constraints, escalating outage expenses, even as rising costs remain the top concern for management teams ...

The next observability gap may not be in the code. It may be under the rack. That sounds strange until you think about how AI incidents actually feel in the middle of an investigation ... The application dashboard may be accurate. It may also be stopping at the wrong boundary. AI systems depend on software, but they also depend on a dense physical stack: racks, power paths, thermal margin, maintenance activity and, in many environments, liquid cooling. Those physical dependencies can change slowly before they look like a software incident ...

Certificate expiration is the rare outage you can see coming. Every TLS certificate carries the date it stops working, so the moment it will begin breaking connections is knowable in advance. That's what makes an expired certificate such a frustrating way to lose a service. What's changing now is how often that date comes around ...

Enterprises operate different combinations of workloads across cloud, hybrid and multicloud environments. For business-critical workloads, teams need to consider monitoring and observability early so they can detect health issues, investigate failures, and understand operational impact. Organizations place workloads on cloud platforms based on a combination of technical requirements, economics, existing dependencies, organizational standards, and business priorities. Their monitoring priorities therefore depend on what they operate and where those systems run. Those priorities will not look the same for every organization ...

Top-performing businesses prioritize data-driven decision making, enabling leaders to move from intuition and gut feel towards evidence-based judgment. But that judgment is only sound when the data underpinning decisions is accurate. With incident management, data accuracy is particularly important. Long-term revenue, customer trust, and operational stability depend on high-quality data that enables teams to quickly identify and address the root cause of major incidents. Against this backdrop, governance becomes a critical endeavor to ensure the right data drives the right action ...

In MEAN TIME TO INSIGHT Episode 26, Shamus McGillicuddy, VP of Research, Network Infrastructure and Operations, at EMA discusses network compliance ... 

Most production autonomous agents do not run in a vacuum. They run inside cloud infrastructure: virtual machines, containers, pods, managed clusters or private servers. That is where most operations teams start monitoring. Is the VM alive? Is the container running? Did the pod restart? Is memory stable? Is CPU too high? Did the health check pass? Those signals are useful. They tell you whether the shell around the agent is alive. They do not tell you whether the agent inside is actually operational ...

Enterprise IT environments have never been more observable ... Yet many organizations still grapple with outages, lengthy incident resolution cycles, and increasing complexity. Most teams do not suffer from a shortage of data. They struggle to determine what deserves attention and what action to take next ... Enterprise IT operations must move beyond monitoring and visibility. The next stage of maturity is decision operations, an approach that helps teams make faster, better-informed decisions ...