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Years of growth, mergers, and decentralized decisions often create complex application landscapes with overlapping systems and rising costs. T-Systems combines AI-driven portfolio analysis with proven consolidation approaches to identify redundancies, retire obsolete applications, and preserve critical business data. The result is a leaner, compliant, and future-ready IT landscape that lowers costs, reduces complexity, and maximizes business value.
Application consolidation reduces redundant systems by identifying overlapping business capabilities and consolidating them into fewer, more efficient platforms, improving governance and reducing operational costs.
We securely extract, archive and preserve business-critical data before retiring obsolete applications, ensuring continued access for operational, legal and audit purposes.
Yes. Historical information is transferred into a central archive with search and reporting capabilities, allowing authorized users to access data after the original application has been retired.
Our structured methodology identifies dependencies, validates business requirements, and carefully plans each transition to minimize disruption and maintains business continuity.
Typical candidates include CRM, ERP, BI & Analytics, ITSM and custom-built legacy applications where duplicate functionality or historical data retention creates unnecessary complexity.
T-Systems combines extensive infrastructure and application assessment experience with AI-driven discovery and analysis to identify dependencies, redundancies and consolidation opportunities across complex landscapes. Proven transformation methodologies and secure data management support informed decisions on consolidation, modernization and development while preparing applications for future cloud initiatives.
