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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.

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I've spent a lot of time in the channel, and one thing I keep coming back to is this: a partner program is only as good as what it looks like in the field. Many programs look great on paper, but when a partner is in front of a customer navigating a complex hybrid environment or trying to make the case for AI-powered observability, the gap between what a vendor promises and what it actually delivers becomes very clear, very fast ...

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For decades, trust in the digital workplace rested on familiar signals. We trusted faces on video calls, voices on the phone, and emails that appeared to come from people we knew. These cues felt human and intuitive. They anchored how decisions were made, approvals were granted, and access was authorized. AI-powered deepfakes have quietly broken that model ...

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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

I've spent a lot of time in the channel, and one thing I keep coming back to is this: a partner program is only as good as what it looks like in the field. Many programs look great on paper, but when a partner is in front of a customer navigating a complex hybrid environment or trying to make the case for AI-powered observability, the gap between what a vendor promises and what it actually delivers becomes very clear, very fast ...

Enterprises today operate in a real-time environment where uninterrupted access to trusted data has become a baseline expectation for users, applications and automated systems. Traditional DataOps models, built on manual effort and human triage, cannot keep pace with this always active demand. AI agents are emerging as the operational backbone, ensuring consistent data availability, reinforcing trustworthiness and enabling a level of scale that manual processes cannot achieve ...

For decades, trust in the digital workplace rested on familiar signals. We trusted faces on video calls, voices on the phone, and emails that appeared to come from people we knew. These cues felt human and intuitive. They anchored how decisions were made, approvals were granted, and access was authorized. AI-powered deepfakes have quietly broken that model ...

Cloud migration was supposed to be a one-way door. For most enterprises, it turns out it isn't. Cloud data repatriation is a real and growing trend. A new survey ... finds that 89% of organizations plan to expand their on-premises infrastructure footprint over the next two years — and 75% have already moved at least some workloads back from public cloud in the past 24 months. The findings point to a broad rethinking of where data belongs ...

Over the past few years, large language models (LLMs) have revolutionized the software industry. Given their ability to excel at multi-step reasoning, LLMs have helped enterprises streamline workflows and adapt to the unknown. However, employing such models comes with sky-high costs, latency issues, and limited flexibility. In the realm of IT operations, it is generally wiser to employ smaller, domain-specific models instead ...

For years, DevOps teams operated under a simple assumption: collect enough telemetry, and you can find and fix any problem. That assumption is breaking down. Modern enterprises now operate across microservices, hybrid cloud environments, APIs, Kubernetes, and highly automated delivery pipelines. Releases happen continuously, dependencies shift constantly, and failures spread faster than teams can diagnose them ...

New Relic surveyed IT and engineering leaders from the media and entertainment (M&E) sector to understand what's working — and where challenges persist with their observability practices. The findings reveal how M&E organizations are navigating rising platform complexity, audience expectations, and AI-driven change. Below are five takeaways that stand out ...

Let me start with something I've seen play out more times than I can count. A team hits a wall with the cloud. Costs creep up, then spike. Performance starts to feel inconsistent. Someone in finance asks a simple question like "why did this double?" and nobody has a clean answer ... Maybe this isn't the right place for everything. That realization feels like a breakthrough, like you've identified the problem. In reality, you've just identified the starting line ...

In MEAN TIME TO INSIGHT Episode 24, Shamus McGillicuddy, VP of Research, Network Infrastructure and Operations, at EMA discusses network observability tool sprawl ... 

In cloud-native systems, scaling is often as simple as moving a slider. For on-premise databases, the stakes are different. Over-provisioning hardware is expensive. Under-provisioning leads to performance bottlenecks that are difficult to fix once the equipment is in the rack ...