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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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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

Outages aren't new. What's new is how quickly they spread across systems, vendors, regions and customer workflows. The moment that performance degrades, expectations escalate fast. In today's always-on environment, an outage isn't just a technical event. It's a trust event ...

Most organizations approach OpenTelemetry as a collection of individual tools they need to assemble from scratch. This view misses the bigger picture. OpenTelemetry is a complete telemetry framework with composable components that address specific problems at different stages of organizational maturity. You start with what you need today and adopt additional pieces as your observability practices evolve ...

One of the earliest lessons I learned from architecting throughput-heavy services is that simplicity wins repeatedly: fewer moving parts, loosely coupled execution (fewer synchronous calls), and precise timing metering. You want data and decisions to travel the shortest possible path. The goal is to build a system where every strategy and each line of code (contention is the key metric) complements the decision trees ...

As discussions around AI "autonomous coworkers" accelerate, many industry projections assume that agents will soon operate alongside human staff in making decisions, taking actions, and managing tasks with minimal oversight. But a growing number of critics (including some of the developers building these systems) argue that the industry still has a long way to go to be able to treat AI agents like fully trusted teammates ...

Enterprise AI has entered a transformational phase where, according to Digitate's recently released survey, Agentic AI and the Future of Enterprise IT, companies are moving beyond traditional automation toward Agentic AI systems designed to reason, adapt, and collaborate alongside human teams ...

The numbers back this urgency up. A recent Zapier survey shows that 92% of enterprises now treat AI as a top priority. Leaders want it, and teams are clamoring for it. But if you look closer at the operations of these companies, you see a different picture. The rollout is slow. The results are often delayed. There's a disconnect between what leaders want and what their technical infrastructure can handle ...

Kyndryl's 2025 Readiness Report revealed that 61% of global business and technology leaders report increasing pressure from boards and regulators to prove AI's ROI. As the technology evolves and expectations continue to rise, leaders are compelled to generate and prove impact before scaling further. This will lead to a decisive turning point in 2026 ...

Cloudflare's disruption illustrates how quickly a single provider's issue cascades into widespread exposure. Many organizations don't fully realize how tightly their systems are coupled to thirdparty services, or how quickly availability and security concerns align when those services falter ... You can't avoid these dependencies, but you can understand them ...

If you work with AI, you know this story. A model performs during testing, looks great in early reviews, works perfectly in production and then slowly loses relevance after operating for a while. Everything on the surface looks perfect — pipelines are running, predictions or recommendations are error-free, data quality checks show green; yet outcomes don't meet the ground reality. This pattern often repeats across enterprise AI programs. Take for example, a mid-sized retail banking and wealth-management firm with heavy investments in AI-powered risk analytics, fraud detection and personalized credit-decisioning systems. The model worked well for a while, but transactions increased, so did false positives by 18% ...

Basic uptime is no longer the gold standard. By 2026, network monitoring must do more than report status, it must explain performance in a hybrid-first world. Networks are no longer just static support systems; they are agile, distributed architectures that sit at the very heart of the customer experience and the business outcomes ... The following five trends represent the new standard for network health, providing a blueprint for teams to move from reactive troubleshooting to a proactive, integrated future ...