4 Tips for Taking Your Money Back Through Software Optimization
October 04, 2023

Tim Flower

Share this

When Marc Andreessen famously wrote in 2011, "software is eating the world" his prediction was that software companies would disrupt traditional ones, which they did; Amazon, Uber, Netflix, Airbnb are all great examples. But what comes next? As software adoption rises and continues to disrupt traditional businesses, software licenses start to "eat away" at enterprise budgets.

Why and how is this the case?

Source: Nexthink

The complexity of enterprise IT environments is often vast due to a combination of legacy systems, upgrades from digital transformation projects, and disparate departments creating complex application portfolios and duplicate contracts.

As an example, just looking at project management platforms. This problem could result in half a dozen or more different project management tools across the same or more departments and hundreds of employees — and that's just an estimate of the duplicates and complexity. As employees change jobs and roles, deployed software can also go unused, leaving that project management app in place but dormant. And swap out "project management tool" for any other type of function: application development; collaboration; photo and video editing, and the list goes on and on.

And if your company hasn't adopted standardization as a practice, or has disparate IT shops, the problem can be even worse. Looking across 6 million devices in a study conducted by Nexthink, we found unused software licenses that account for $44,743,651 lost per month, or $84 per device per year. That may not sound like a lot on its own, but it is equal to $840k per year for every 10,000 devices. And considering only 5% of IT leaders claim "complete visibility" into the total number of software licenses being used by their employees, it's safe to say many organizations are in dire need of a better strategy.

Thankfully, there is a way to provide the right software licenses where needed without impacting employee productivity or wasting much needed budget.

Simply put, Software License Optimization is a strategy focused on making a single procured software license, or group of licenses, as cost-efficient and effective as possible through the management of software license counts, usage and cost. The focus of the strategy should be centered around software standards and usage to avoid losing money on unused or redundant software.

So how can it be done?

1. Start with a Software Usage Audit

Data is always key. Having the right data when entering into software negotiations gives IT leaders the upper hand. Often times, organizations end up buying more licenses than necessary (a "buffer") at the suggestion of the software vendor. In fact, a recent study uncovered that IT decision makers are roughly aware employees use between 11-50 applications every day but were unsure how many of those were actively used and how many seats (licenses) were available.

By knowing exactly what employees are using and how many licenses you need, you avoid overspending. So, before you look into buying licenses, start with an audit to get insight into how many licenses are installed but not being used; which licenses aren't being used often; and which are staples in your employees' day-to-day jobs.

2. Create Digital Personas Based on IT Usage Traits

The balance between efficiency, cost-effectiveness, and a strategy that fits everyone's needs is tough. A one-size-fits all approach is easy to implement but it likely won't meet everyone's needs and therefore isn't an efficient way of creating a positive digital experience. It would be great to be able to give every employee a personalized experience, but that wouldn't be very cost-effective.

So, what's the answer? Smart persona building can help create the balance between a personalized experience within a reasonable budget and use of resources. To accomplish this, you'll want to start by organizing employees using binary and variable IT traits.

Binary IT traits are the most clear-cut and require yes/no or this/that qualifications. For example, the question might be whether an employee's application mix and performance will require the four core or eight core CPU device. Those who need four would get one persona and those who need eight would get another. Same questions for RAM, drive space, graphics, etc.

Variable IT traits require numerical calculations that measure an individual construct such as "how much time is an employee accessing Microsoft Teams throughout the day." It is more focused on how much an employee is exhibiting a behavior as opposed to the simple binary choice. Creating a persona should combine both binary and variable traits.

3. Monitor Costs of Employee Software Usage

While a software usage audit is important to start your optimization journey, a one-time audit won't be sufficient in providing an accurate picture of changing software costs. Since employee software usage evolves over time, continuous monitoring is vital to identify potential cost reduction opportunities. One way IT teams can do this is through dashboards which allow teams to visualize what software is being used and what software is not. From there they can make an informed decision around software licenses.

4. Focus on Data-Driven Decisions

It is important to remember that even if software is being used on an occasional basis, it doesn't mean it isn't extremely important to certain employees. By combining usage data with employee sentiment data, you can corroborate employee feedback with employee software habits. This way IT leaders can make changes that reduce cost without it adversely effecting employee productivity.

These four steps will kickstart your software optimization strategy, but to be successful it should be an ongoing process with each step performed on a regular basis. Software usage audits should be a recurring initiative to ensure the software being offered is still the most–cost-effective and used solution. Employee turnover and company re-organization means employee personas should be re-examined on a regular basis and updated as needed. By paying closer attention to when, who and why employees are using software, IT teams can make the best decisions on value vs cost for the business — ensuring your budget isn't being "eaten up" by unnecessary or unused software licenses.

Tim Flower is VP of DEX Strategy at Nexthink
Share this

The Latest

February 21, 2024

Generative AI will usher in advantages within various industries. However, the technology is still nascent, and according to the recent Dynatrace survey there are many challenges and risks that organizations need to overcome to use this technology effectively ...

February 20, 2024

In today's digital era, monitoring and observability are indispensable in software and application development. Their efficacy lies in empowering developers to swiftly identify and address issues, enhance performance, and deliver flawless user experiences. Achieving these objectives requires meticulous planning, strategic implementation, and consistent ongoing maintenance. In this blog, we're sharing our five best practices to fortify your approach to application performance monitoring (APM) and observability ...

February 16, 2024

In MEAN TIME TO INSIGHT Episode 3, Shamus McGillicuddy, VP of Research, Network Infrastructure and Operations, at Enterprise Management Associates (EMA) discusses network security with Chris Steffen, VP of Research Covering Information Security, Risk, and Compliance Management at EMA ...

February 15, 2024

In a time where we're constantly bombarded with new buzzwords and technological advancements, it can be challenging for businesses to determine what is real, what is useful, and what they truly need. Over the years, we've witnessed the rise and fall of various tech trends, such as the promises (and fears) of AI becoming sentient and replacing humans to the declaration that data is the new oil. At the end of the day, one fundamental question remains: How can companies navigate through the tech buzz and make informed decisions for their future? ...

February 14, 2024

We increasingly see companies using their observability data to support security use cases. It's not entirely surprising given the challenges that organizations have with legacy SIEMs. We wanted to dig into this evolving intersection of security and observability, so we surveyed 500 security professionals — 40% of whom were either CISOs or CSOs — for our inaugural State of Security Observability report ...

February 13, 2024

Cloud computing continues to soar, with little signs of slowing down ... But, as with any new program, companies are seeing substantial benefits in the cloud but are also navigating budgetary challenges. With an estimated 94% of companies using cloud services today, priorities for IT teams have shifted from purely adoption-based to deploying new strategies. As they explore new territories, it can be a struggle to exploit the full value of their spend and the cloud's transformative capabilities ...

February 12, 2024

What will the enterprise of the future look like? If we asked this question three years ago, I doubt most of us would have pictured today as we know it: a future where generative AI has become deeply integrated into business and even our daily lives ...

February 09, 2024

With a focus on GenAI, industry experts offer predictions on how AI will evolve and impact IT and business in 2024. Part 5, the final installment in this series, covers the advantages AI will deliver: Generative AI will become increasingly important for resolving complicated data integration challenges, essentially providing a natural-language intermediary between data endpoints ...

February 08, 2024

With a focus on GenAI, industry experts offer predictions on how AI will evolve and impact IT and business in 2024. Part 4 covers the challenges of AI: In the short term, the rapid development and adoption of AI tools and products leveraging AI services will lead to an increase in biased outputs ...

February 07, 2024

With a focus on GenAI, industry experts offer predictions on how AI will evolve and impact IT and business in 2024. Part 3 covers the technologies that will drive AI: The question on every leader's mind in 2023 was - how soon will I see the return on my AI investment? The answer may lie in quantum computing ...