Why Archive?

SAP databases typically grow 20%-30% per year.

You have three options: 

Increase your storage and expand your data footprint

Delete it

Archive it

The Basics Of Archiving

  • The SAP Data Archiving process is used to move data offline, for either deletion or later access (view only) via Archiving Run or Deletion Run
  • Selection parameters(variants) are pre‐defined for each run
  • Data is eligible for data archiving/deletion once it:
    • Becomes “Business Complete” – Meets minimum retention time – Has met
    • selection criteria (variant) for the run
    • Is readable from the archive file

The Business Case

  • Reduce data footprint and improve system performance – response times and availability
  • Enhanced user experience – faster access to data
  • Real-time access to historical data
  • Optimized Backup and Recovery times
  • Compliance with Data Retention guidelines(NARUC, NERC / CIP, etc.)
  • Shorter upgrade and migration timelines
  • Foundational for full ILM (Data Aging, Cleansing and Governance, etc.)
  • Retire Legacy Systems used as data repositories – simplify landscape and reduce hardware and support costs

Measurable Business Value for Stakeholders:

IT

  • Facilitate a smoother transformational initiatives and migrations to S/4HANA or Cloud
  • Save space and improve system performance
  • Lower TCO with right-sized licensing, hardware and support
  • Potential legacy system retirements
Business
  • Enhanced end user experience and increase system adoption
  • Manage compliance and risk
  • Seamless access to archived data

C-Suite

  • Low cost, high value initiative with immediate and measurable benefits
  • Quality data for better for decisions
  • Solid foundation for transformations
  • Improved organizational alignment for future initiatives

Key Takeaways

  • High data volume in Utilities mandate early adoption of ILM practices
  • Ensure access to archived data is seamless – Goal is transparent access to both online and archived data
  • Performance gains with Data Archiving do not always mean targeting highest volume objects
  • Linked environment implementations, timelines and upgrades can pose a serious threat to archiving initiatives
  • Big Bang Archiving implementations rarely succeed
  • Understand retention policies and ensure compliance
  • Engage the right team for the target Objects:
    • Front office (CRM) and Back office (IS-U)
    • Reporting
    • FI-CA (reversals)
    • Meter read processing
    • External invoice document printing systems, if used
    • Master Data Managers (Contracts, Business Partners)

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