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Retaining legacy systems entails multiple risks, including non-compliance, high maintenance costs, and security vulnerabilities.
Decommissioning legacy systems can involve a complete replacement, partial integration, or deactivation.
Decommissioning requires a thorough system assessment, dependency analysis, and planning before execution and validation.
How much do your legacy systems cost you? Chances are, your answer will land in the ballpark of over $2 million, as it is for two-thirds of businesses.
But that’s not the only price you’ll have to pay. While higher operational costs are deemed the most significant impact of legacy tech, others include delays in digital transformation, scalability issues and more:
Source: EY – EY Horizons Report: Legacy Application Modernization Services
While legacy modernization might seem like the obvious solution, sometimes, it amounts to “putting lipstick on a pig,” as one chief information and strategy officer aptly put it in an interview. In that case, decommissioning legacy systems becomes the most sound path forward.
Unbeknownst to most, the world is running on legacy applications. Around 70% of Fortune 500 software estate is at least two decades old. In the public sector, at least 11 critical federal systems are aged 20 or more, and five of them are 50+ years old.
Most of these systems have stayed in place because they serve critical functions. But that’s exactly why they must be replaced once they outlive their usefulness: they are the foundation for further product and CX innovation.
If left unaddressed, the growing complexity and tech debt will eventually overwhelm the IT function. Slow innovation, in turn, will cost organizations their competitive edge against their digital-native competitors that can move faster, unburdened by legacy tech.
Maintaining the status quo is oftentimes riskier than legacy system decommissioning.
Bugs, glitches, and hardware failures can effectively corrupt some or all of the valuable decades-old information. Outdated file formats and integration challenges, in turn, hinder access to that data.
Modern systems have to meet increasingly stringent cybersecurity (e.g., DORA, PSD2), privacy (e.g., GDPR, CCPA) and reporting requirements. Ensuring compliance within legacy systems may require extensive workarounds at best and be impossible at worst.
Just keeping the lights on can cost too much as organizations need tech specialists with niche skills (e.g., COBOL). On-premises infrastructure maintenance and drawn-out changes also add to the costs.
Outdated technologies are no longer receiving updates, leaving security vulnerabilities unpatched. That also applies to no-longer-supported operating systems like Windows XP.
Extensive workarounds for maintaining compliance, reliance on manual processes and innovation limitations also contribute to the high total cost of ownership (TCO). In banking, for example, direct costs account only for 29% of the legacy system TCO:
Source: Digital Bank Expert – The True Cost of Legacy Systems: A Deeper Dive into Banking IT Modernisation
Legacy systems are notoriously difficult to integrate with modern solutions, with 83% of organizations calling it a major legacy modernization roadblock. That can effectively lock the data inside the system.
Legacy application decommissioning allows for mitigating these risks, ultimately leading to:
Reduced operational costs
More resources available for innovation
Faster updates and new feature development
Simplified, streamlined workflows that boost productivity
Improved operational efficiency
Reduced security and compliance risks
Enhanced risk management
While the exact ROI varies across industries, systems and businesses, one analysis puts the average benefits of moving away from legacy banking systems at:
Legacy application decommissioning can involve migrating to a new system, partially integrating legacy capabilities into a new system, or simply deactivating the old one.
This approach is essentially a big-bang migration to a new system, be it an off-the-shelf platform, open-source alternative or custom-built application. It’s usually the riskiest option for a business, but it’s better suited to systems that are too interconnected for gradual replacement.
If certain components can or must be retained, they can be integrated with modern systems. The redundant components, in turn, are sent to retirement. This works for systems with components necessary for compliance or operational continuity.
If the system is redundant, it can be deactivated. In this case, the legacy system decommissioning process focuses on archiving the data that must be retained and managing the data that doesn’t serve a purpose anymore.
In broad strokes, legacy system decommissioning happens in three distinct phases. Note: they take place after making the business case and ensuring stakeholder engagement.
Start by creating a detailed inventory of the system’s dependencies across enterprise applications, departments, processes and external users. Mapping dependencies will inform which workflows have to be changed before decommissioning.
Then, analyze the data stored within the legacy system. Identify:
Which data will need to be migrated to a new platform
Which data should be archived
Which data needs to be converted for further use
At this stage, you should also identify potential risks, decide how to mitigate them and prepare a business impact analysis.
With the assessment done, prepare a detailed legacy system decommissioning plan with a timeline, milestones and resources allocated. Include a communication plan to keep all stakeholders in the loop and a governance framework to ensure ownership and accountability.
Depending on the strategy chosen, the execution itself can range from system switchover to data migration to cloud storage. In any case, thorough validation is a must to ensure that no data is lost and that new processes and systems work as intended. Run the legacy and new systems in parallel for a while before turning off the former.
The decommissioning of legacy systems comes with several inherent challenges:
Data loss. Create backups before migration and validate data integrity and accuracy post-migration to avoid losing access to critical information.
Resistance to change. End users need additional training to get used to new workflows.
Broken dependencies. Overlooking some dependencies may cause unexpected business disruptions.
Compliance issues. Archive data for compliance with data retention requirements (e.g., 6 years for HIPAA).
A lot can go wrong during system retirement. These four legacy system decommissioning best practices will help you avoid worst-case scenarios:
Automate discovery. Modern tools use AI to map dependencies in large codebases and inventory data. This automation minimizes the risk of overlooking some dependencies and speeds up the overall process.
Take compliance into account. Consider all the data-related compliance requirements before planning the decommissioning. Keep your data secure and preserve audit trails.
Keep data accessible. Even when it’s archived, the migrated data has to be easy to access through a user-friendly interface. Convert the data to compatible formats if needed, too.
Invest in communication and training. Don’t leave end users in the dark. Train them on new workflows, provide a knowledge base for the new system and keep stakeholders up-to-date on your decommissioning progress.
When a legacy system outlives its usefulness, sunsetting it is only logical. Yes, it is risky and requires a great deal of change management — but it’s worth it, considering the many benefits of decommissioning legacy systems. Consider leveraging IT solutions for financial services to minimize risks during this undertaking.
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Legacy system decommissioning involves system assessment (including dependency analysis), planning and governance, and execution and validation.
Critical data can be either migrated to a new platform or archived. If the data doesn’t need to be retained, it can be removed completely.
Risk management involves creating backups, planning for business continuity, validating data integrity and accounting for compliance requirements.
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