Historize Legacy Data for Azure: 4 week POC

T-Systems International

end-to-end service to historize legacy data from post-productive system landscapes.(SAP and non-SAP). Legacy data extracted from any source application to single platform. shut down old. cloud, azure

T-Systems Managed Application Retirement Services (M.A.R.S.) is a consultancy-to-cloud capability for post-productive sunsetting legacy applications. We migrate data from any legacy application to our secure, read-only, platform thereby providing 24/7 global access to critical corporate memory.

Challenges companies face:

Companies need to access information from legacy systems for legal, compliance, audit and general reference reasons.

  • However, keeping these post-productive systems running for lookup is disproportionately expensive and wastes valuable resources.
  • Legacy landscapes come with business and security risks-Obsolete hardware, unsupported software and declining skill sets.
  • Legacy tends to have a poor environmental reputation compared to more carbon-friendly cloud infrastructures.
  • Solution:

    M.A.R.S. enables you to transfer 100% of the data to its single platform and then shutting down the source system.

    All data is available from anywhere and at any time in a read-only format and is quick and easy to extract.

    Benefits for the customer:

  • You can cut overall costs by up to 90%-freeing funds to be better deployed elsewhere.
  • Data is kept safely so the business and security risks are eliminated
  • Keeping just the application data on M.A.R.S. enables the decommissioning of source systems, a streamlining of the legacy estates and a lower carbon footprint.
  • With Microsoft Azure your legacy data is made available 24/7 from anywhere in the world, for as long as it’s needed.
  • We offer a Proof Of Concept on one source system for a duration of 4 weeks

    Set up of a M.A.R.S. environment Export of structured data from the source system Import of structured data into the M.A.R.S. environment Generation of 10 views max. Set up of 5 users user training Online support for Customer User Acceptance Testing of PoC archive

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