Desmantela sistemas SAP obsoletos sin perder el acceso a tus datos heredados
Al migrar a SAP S/4HANA o realizar otros proyectos de transformación como carve-outs, fusiones y adquisiciones o consolidaciones de sistemas, las empresas se enfrentan al dilema de cómo tratar los datos y documentos que permanecen en sus sistemas heredados. Claramente, los datos y la información de relevancia fiscal que son importantes para los procesos relacionados con los productos y los análisis internos de la empresa deben conservarse durante más tiempo. Cuando se trata del desmantelamiento de sistemas, las empresas necesitan una solución flexible que proporcione un acceso rápido a los datos y la capacidad de auditoría, y que mantenga al mismo tiempo los costos de alojamiento y administración al mínimo.
El desmantelamiento simplificado
Retira los sistemas heredados. Mantén los datos accesibles.
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.
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 In many organizations, exactly this data is still locked inside outdated systems that are expensive and risky to maintain.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 |
Simplifica el proceso con Kyano®
Nuestra plataforma end-to-end de gestión y migración de datos Kyano puede hacer que tus procesos de desmantelamiento y archivo sean rápidos y conformes a las normas gracias a los procesos automatizados y los procedimientos guiados.
Conserva los datos heredados en un formato conforme a las normas a la vez que minimizas los costos con Kyano® Datafridge
Kyano Datafridge permite el desmantelamiento seguro de sistemas heredados con un acceso sin problemas a los datos históricos, al tiempo que reduce los costos operativos y prepara los datos para auditorías y análisis.
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.
Success Story
Outboard manejó las personalizaciones a la perfección permitiéndonos archivar las transacciones Z. La capacidad del producto de recuperar datos antiguos y nuevos sin problemas, incluso con nuestras personalizaciones, es una de las principales razones por las que elegimos 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.