Understanding the costs of legacy systems
With legacy systems, organizations sink funds into something they will eventually need to replace. Business leaders are already under immense pressure to do more with less, and if left to languish, legacy systems can quickly turn into a demanding financial burden that will also impact business performance.
Below are a few of the explicit costs of depending on legacy systems:
Ongoing maintenance expenses
In this Deloitte study of 300 business leaders, respondents pinpointed the top three internal obstacles to reducing costs:
- Technology infrastructure
- Inability to rapidly adjust cost structure
- Inability to enable digital infrastructure
As legacy systems reach the end of their product life cycles, the cost of server maintenance and custom fixes to keep things running smoothly soars exponentially. The exact cost of legacy infrastructure upkeep can be hard to quantify, which can lead to businesses underestimating the extent of these costs.
A non-exhaustive list of potential expenses could include licensing models, specialized IT resources, hardware upgrades, vendor contracts and tech support.
Security risks
Running aging systems leaves your organization vulnerable to exploits, data breaches and other cybersecurity risks, which can also lead to serious financial ramifications.
In 2023, the global average cost of a data breach was $4.45 million. High-profile data breach cases, such as the documented incidents of shipping giant Maersk and credit agency Equifax, have been attributed to outdated technology and poor data security measures.
Aside from the lack of consistent security patches, legacy systems are incompatible with security best practices, such as role-based access or data encryption rules. Many may not even have backup and recovery properties, risking the permanent loss of critical company data.
Technical debt
Technical debt comes part and parcel with legacy system maintenance, and the costs can quickly stack up if organizations are not careful.
Technical debt, also known as code debt, is the cost of cutting corners during the software development process — whether because of time, skill or project prioritization. By prioritizing speed over quality, developers may release poorly designed code, resulting in stop-gap solutions and system bugs that, eventually, will need resolution.
Although some technical debt is inevitable, it shouldn’t accumulate until your tech team’s entire workload is focused on putting out increasingly complex fires instead of building innovative solutions.
Dealing with technical debt isn’t just a burden on your IT resources; it’s also a burden on thinly stretched tech budgets.