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3 Tips for Reining in Your Application Portfolio

Gary Mann

Your organization's Application Management and IT Help Desk teams are your "first line of defense," and they also wear many hats. They help users resolve problems, manage the organization's technology portfolio, and ensure technology is available to end users 24x7. The constant juggle of day-to-day priorities can be dizzying.

One of the biggest challenges they face is the management of application portfolios, which can quickly become crowded, redundant, or even obsolete due to years of adding software with overlapping functionalities. This is only getting more complex with the emergence of new technology. Mergers and acquisitions also compound the problem as IT teams look to bring two application portfolios together. Unless your application portfolio is meticulously maintained, sprawl and application redundancies will occur, tying up IT resources more than they already are and driving up operating costs — all of which can impact application performance.

To help ensure your application and help desk operations are effective and manageable, there are a few simple things that IT leaders can do:

1. Assess the Strength of Your Application Management Program

Before you can make any changes to your program you need to understand its current state — down to the true cost of every application. A few key questions to ask include:

■ How have our applications been performing over time? 

■ Are some applications becoming obsolete or redundant? 

■ Does the cost to maintain an application align with its business value? 

■ Is the application portfolio able to meet changing business conditions? 

■ Does the program allow for innovation and improvement initiatives?

Completing this assessment isn't a simple task and it's not a one and done process. Dig deep and reassess regularly. The frequency of conducting an assessment depends entirely on the maturity of the organization. You need to question how dynamic and volatile the market place is, and what role the application portfolio plays in driving the organization's strategy.

For example, in some industries applications, and therefore the application management program, are ground zero not only for operational effectiveness, but also compliance.

Also, once the first assessment is done will you will want to put controls in place to monitor delivery and thresholds for making changes to your plan. The more mature your processes are to keep control and track thresholds the less frequently an assessment is needed. It will also depend on the size of the organization. It can be ungainly to make a blanket statement that you will analyze the application management program annually, but take several months to complete the assessment. You need to avoid analysis paralysis. One size does not fit all.

2. Build an Application Management Road Map

As a second step, once you have completed your initial assessment, and identified gaps, you will want to build an application management road map. Again, this is not a simple step in the least. Developing a roadmap requires strategic and tactical thinking. Priorities should be based on the direction you want to take your organization – whether it is building new capabilities to meet changing needs in the market place, or looking for ways to be more efficient with company's resources by identifying ways to decrease operational costs. These decisions are to be made in concert with the user community as they are the ones that will be most impacted by any changes you make to the application portfolio. End users can be very helpful in setting priorities and determining what applications are most important at the end of the day.

3. Monitor and Reassess

The final step, start all over again. Once you have conducted an assessment, built your roadmap and plan, and begun executing, you need to continue to monitor your application portfolio in order to make mid-course adjustments. Markets do not stagnate. Consequently, users' demands and strategic directions will change as well. If you have done your work correctly, the adjustments that need to be made will be minor, but they will occur. This may be as simple as a reprioritization of a small project, to a rethink of what is needed to support a market strategy.

What is important in all of this is to ensure you have clear methodologies to conduct the assessments, monitor the roadmap, and make mid-course adjustments.

In my 30 years in the industry, I have seen many organizations struggle with wrapping their arms around their ever-changing application portfolio, and ultimately giving their IT team breathing room to focus on strategic projects. Whether addressing these improvement initiatives in-house, or looking for outside assistance, following these steps will help your organization more effectively manage its technology resources.

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3 Tips for Reining in Your Application Portfolio

Gary Mann

Your organization's Application Management and IT Help Desk teams are your "first line of defense," and they also wear many hats. They help users resolve problems, manage the organization's technology portfolio, and ensure technology is available to end users 24x7. The constant juggle of day-to-day priorities can be dizzying.

One of the biggest challenges they face is the management of application portfolios, which can quickly become crowded, redundant, or even obsolete due to years of adding software with overlapping functionalities. This is only getting more complex with the emergence of new technology. Mergers and acquisitions also compound the problem as IT teams look to bring two application portfolios together. Unless your application portfolio is meticulously maintained, sprawl and application redundancies will occur, tying up IT resources more than they already are and driving up operating costs — all of which can impact application performance.

To help ensure your application and help desk operations are effective and manageable, there are a few simple things that IT leaders can do:

1. Assess the Strength of Your Application Management Program

Before you can make any changes to your program you need to understand its current state — down to the true cost of every application. A few key questions to ask include:

■ How have our applications been performing over time? 

■ Are some applications becoming obsolete or redundant? 

■ Does the cost to maintain an application align with its business value? 

■ Is the application portfolio able to meet changing business conditions? 

■ Does the program allow for innovation and improvement initiatives?

Completing this assessment isn't a simple task and it's not a one and done process. Dig deep and reassess regularly. The frequency of conducting an assessment depends entirely on the maturity of the organization. You need to question how dynamic and volatile the market place is, and what role the application portfolio plays in driving the organization's strategy.

For example, in some industries applications, and therefore the application management program, are ground zero not only for operational effectiveness, but also compliance.

Also, once the first assessment is done will you will want to put controls in place to monitor delivery and thresholds for making changes to your plan. The more mature your processes are to keep control and track thresholds the less frequently an assessment is needed. It will also depend on the size of the organization. It can be ungainly to make a blanket statement that you will analyze the application management program annually, but take several months to complete the assessment. You need to avoid analysis paralysis. One size does not fit all.

2. Build an Application Management Road Map

As a second step, once you have completed your initial assessment, and identified gaps, you will want to build an application management road map. Again, this is not a simple step in the least. Developing a roadmap requires strategic and tactical thinking. Priorities should be based on the direction you want to take your organization – whether it is building new capabilities to meet changing needs in the market place, or looking for ways to be more efficient with company's resources by identifying ways to decrease operational costs. These decisions are to be made in concert with the user community as they are the ones that will be most impacted by any changes you make to the application portfolio. End users can be very helpful in setting priorities and determining what applications are most important at the end of the day.

3. Monitor and Reassess

The final step, start all over again. Once you have conducted an assessment, built your roadmap and plan, and begun executing, you need to continue to monitor your application portfolio in order to make mid-course adjustments. Markets do not stagnate. Consequently, users' demands and strategic directions will change as well. If you have done your work correctly, the adjustments that need to be made will be minor, but they will occur. This may be as simple as a reprioritization of a small project, to a rethink of what is needed to support a market strategy.

What is important in all of this is to ensure you have clear methodologies to conduct the assessments, monitor the roadmap, and make mid-course adjustments.

In my 30 years in the industry, I have seen many organizations struggle with wrapping their arms around their ever-changing application portfolio, and ultimately giving their IT team breathing room to focus on strategic projects. Whether addressing these improvement initiatives in-house, or looking for outside assistance, following these steps will help your organization more effectively manage its technology resources.

Hot Topics

The Latest

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 ...

In the modern enterprise, the conversation around AI has moved past skepticism toward a stage of active adoption. According to our 2026 State of IT Trends Report: The Human Side of Autonomous AI, nearly 90% of IT professionals view AI as a net positive, and this optimism is well-founded. We are seeing agentic AI move beyond simple automation to actively streamlining complex data insights and eliminating the manual toil that has long hindered innovation. However, as we integrate these autonomous agents into our ecosystems, the fundamental DNA of the IT role is evolving ...

AI workloads require an enormous amount of computing power ... What's also becoming abundantly clear is just how quickly AI's computing needs are leading to enterprise systems failure. According to Cockroach Labs' State of AI Infrastructure 2026 report, enterprise systems are much closer to failure than their organizations realize. The report ... suggests AI scale could cause widespread failures in as little as one year — making it a clear risk for business performance and reliability.