Application Retirement

 

Decommission the past. Secure the future.

 

Unlock legacy data for insights while reducing costs, risks, and complexity. 

Application retirement means decommissioning legacy systems while preserving the data they contain. This allows organizations to immediately reduce infrastructure, licensing, and maintenance costs, while still ensuring secure access to historical and compliance-relevant information. 

Reduce costs. Lower risk. Retain control of your historical data. 

Reserve your session now

When legacy systems become a liability 

 

Many core business applications were implemented decades ago. They once powered critical operations, but today they create more challenges than value. 

  • Vendor support is ending 
  • Upgrades are no longer available 
  • Security patches become uncertain 
  • Systems no longer align with your transformation roadmap 

Yet they continue to consume budget, infrastructure, and IT resources. 

The result? Rising costs, increasing cyber risk, and a more complex IT landscape that slows innovation.

Three illustrated people, two women and one man, arrange large puzzle pieces with large coins on the ground representing revenue, a clock representing project timelines

Decommissioning made simple

Retire legacy systems. Keep data accessible.

Illustrationen_Brainstorm.svg

Read-only doesn’t mean risk-free: cybersecurity considerations in legacy systems 

 

Keeping a legacy system “just for access” may seem harmless. In reality, it creates continuous operational and cybersecurity risk. 

The underlying technology stack still requires ongoing care: 

  • Operating systems need regular updates 
  • Databases require maintenance 
  • Security components must be patched 
  • Infrastructure dependencies have to be kept stable and compatible 

When vendors end support, critical cybersecurity updates are no longer available or technically compatible with the old architecture. As a result, these systems cannot simply “sit safely” as archives - they become progressively harder to secure, increasing exposure and operational risk over time. 

 Legacy data is key for compliance, reporting and analytics 

 

Even if no one uses the system daily, the data is still critical.

checklist.png

Compliance & Audits 

Historical information must remain accessible for legal, regulatory, and tax requirements. 

report-management.svg

Reporting & Financial Control

Past transactions are required for financial reporting and investigations. 

brain-bulb.png

Analytics & AI 

Long-term, governed data is essential for training AI models and identifying trends. 

Data trapped in the past — just when AI needs it most 

Modern analytics and AI initiatives rely on long-term, trustworthy historical data. In many organizations, exactly this data is still locked inside outdated systems that are expensive and risky to maintain. 

 

Why legacy data is critical for AI

Training and context
Long-term trends and anomalies 
Governance and trust 

Historical data provides the volume and context AI models need to learn real patterns and behaviors. 

Multi-year data reveals trends, seasonality, and rare events that recent data alone cannot show. 

Well-governed historical data improves transparency, explainability, and trust in AI outputs. 

 
Before application retirement 
After application retirement 
Costs 
Moves historical data from a live system to an archive while the original application remains operational  Retires the legacy system entirely, moving all data to a target system or platform for long-term storage 
Security 
When a system remains in daily use, but historical data is slowing performance or complicating migrations  When a legacy system is no longer needed for daily operations, but historical data must be preserved for audits, reporting, or compliance 
IT Complexity 
Only historical transactional data can be moved  All data, including master data and open transactions, can be moved 

 Ensure long-term compliance through smart data retention

 

You do not need to maintain full legacy systems to remain compliant. 

With a structured retirement strategy:

Kyano Animation (GIF Reduced) (6 Sec.).gif
data-shield-checked_icon_white.svg

Data is migrated to modern, compliant infrastructure

files_icon_white.svg

Retention policies are clearly defined and automated

cog check_icon_white.svg

Legal holds are enforced consistently

income_icon_white.svg

Audits and investigations remain fully supported

Solution: application retirement with Kyano® Datafridge

 

Kyano Datafridge enables secure, controlled decommissioning of legacy systems while preserving seamless access to historical data. 

Legacy data is migrated into a compliant, cost-efficient archive — where it remains fully accessible for audits, reporting, analytics, and AI initiatives. 

Users can retrieve and analyze information through familiar SAP GUI–based display transactions, as if the original system were still running. 

You switch off the systems — but not the data. 

Learn more about Kyano Datafridge

What Kyano Datafridge delivers 

 

  • Seamless legacy data access through familiar SAP-style display transactions, including drill-down to attachments and linked documents 
  • No additional hardware required — runs as an add-on within your existing SAP landscape 
  • Flexible storage options — on-premise, cloud, or compliant archive 
  • Automated retention management and legal hold functionality 
  • Certified security and compliance, including KPMG and SAP certifications 

The result: lower costs, reduced risk, simplified architecture, and future-ready data accessibility. 

datafridge.svg
Success Story

Outboard handled the customizations brilliantly, allowing us to make transactions archive-relevant. The seamless nature that the product has to retrieve old and new data, even with our customizations, is one of the main reasons we chose SNP.

Mathew Alves

Director of Enterprise Applications at United Farmers of Alberta

FAQ

Application retirement is the controlled decommissioning of outdated or unsupported systems while preserving their data for compliance, reporting, and analytics. 

Legacy systems often contain legally required historical data. Deleting them without a structured plan risks compliance violations, data loss, and business disruption. 

Rising maintenance costs, increasing cybersecurity exposure, growing IT complexity, and limited accessibility of valuable historical data. 

It moves historical data from locked legacy systems into secure, accessible environments, making it reliable for analytics and AI model development. 

Timelines vary depending on system size, complexity, and regulatory requirements. A structured approach minimizes disruption while maintaining continuous data availability. 

Beyond regulatory assurance, you lower costs, reduce risk, simplify your IT landscape, and unlock strategic value from historical data. 

Illustrationen_FAQ.svg

Latest blog posts

 

Unmanaged legacy data drives costs, slows systems, and increases cyber risks, blocking full value after migration.

Discover the best approach for application retirement. Reserve your session now.

Book your session now