AbbVie’s Success Story
Using SAP ILM in preparation for Upgrading to SAP S/4 HANA# 7100
Siva Pachaiappan, Sandeep Kumar & Ajay Nannapaneni
Agenda
• About AbbVie
• Why ILM & Data Archiving is important before SAP S/4 Upgrade?
• AbbVie SAP Journey
• AbbVie SAP Data Archiving Journey
• ILM (Information Lifecycle Management) - Explained…
• AbbVie SAP Data Archiving Projects – Overview, Results &
Lessons Learned
About AbbVie
• Founded in 2013 with heritage of Abbott’s 125 year as a foundation on which to grow.
• Specialty-focused, research-based biopharmaceutical company based in North Chicago, Illinois, USA
• AbbVie starts with the patient, drawing on our deep expertise in some of the most difficult-to-treat diseases and on our understanding of the patient journey to identify opportunities to create better outcomes at every stage.
28,000+Number of Employees Worldwide
2016 Revenue$25.6 billion
Global Presence170+ Countries
Why ILM & Data Archiving is important before SAP S/4 Upgrade?
• Better planning on long term SAP Licensing strategy based on
data growth & ageing
• Reduce costs around HANA Licensing
• Reduce complexity of S/4HANA Upgrade w/ less data footprint
• Optimize usage of HANA database in S/4HANA
• Deeper insights into business impacts during S/4 Upgrade
AbbVie SAP Journey
StabilizationData Archiving
InitiativesSpin-off from Abbott
Single SAP
Global Instance
S/4HANA
Adoption
2013 2013-2015 2017+2015-2016 2015-2017
• AbbVie formed as an independent company in Jan 2013
• AbbVie/Abbott SAP system split
• AbbVie started SAP operations on its own SAP system with Abbott data in it.
• Design & implement global template solution w/ standardized end-to-end back-office business processes
• 110+ countries & 10+ manufacturing sites
• Minimize localization requirements
• Stabilize single global instance
• Enhancements complying to defined global template
• Production support mode
• Strategize data archiving
• Carve-out Abbott data
• Implement SAP ILM & 3rd
party archiving solutions
• Execute archive catch-up jobs
• Operationalize archiving jobs
• SAP BW Upgrade on HANA completed
• S/4HANA strategy assessment in progress
AbbVie SAP Data Archiving Journey
SAP ILM
Implementation
Archiving Catch-up
JobsData Archiving Strategy Abbott Data Carve-Out
Operationalize
Archiving Runs
2015Q3-Q4
• Data volume management
• SAP systems’ scope
• Content management strategy
• Assessment of ILM & archived data retrieval solutions
• Identification of business criteria for in-scope & exceptions
• Develop test strategy & acceptance criteria
• Schedule archiving jobs to delete Abbott data
• Refine archiving scope for SAP ECC
• Define business requirements for ILM
• Realization phase
• Technical Go-Live
• Business process for data retention & deletion
• Application of ILM rule sets for data archiving & deletion
• Schedule catch-up archiving jobs in PROD
• Automate archiving jobs schedule at pre-defined frequency
• Establish KPIs to monitor data growth
2015-16Q4-Q1
2016Q2-Q4
2017Q1
2017Q2+
ILM (Information Lifecycle Management) - Explained…
What data can be archived ?
▪ #1 Data is business complete▪ #2 Data has completed residence time
When can data be archived ?
Online Residence defines how long data stayson SAP database before being moved toarchive #2
When is data destroyed ?
Total retention time defines how long data remains in archive before it isdeleted forever #3▪ Determined by corporate retention policies
Database Storage System
Retention Time
Creation Business
Complete
Residence
Time
Audit Lawsuit Information
Destruction
1 2 3
Access F
req
uen
cy
Time
Storage in SAP Storage in Content Management System
SAP Data Archiving Projects – Overview, Results & Lessons Learned
SAP ILM
Implementation
Archiving Catch-up
JobsData Archiving Strategy Abbott Data Carve-Out
Operationalize
Archiving Runs
2015Q3-Q4
Overview:
• Analyze existing SAP Technical /Solution landscape
• Identify right fit solutions that manage the growth across the various systems by data archival and retrieval for Business use , Audits and Legal requirements
• Set stage for implementing solution in next phase/s
2015-16Q4-Q1
2016Q2-Q4
2017Q1
2017Q2+
Results:
• Global Archiving Strategy Document
• Functional & Technical Requirement
Document
• Tool Recommendations
• Infrastructure Requirements
• Implementation Phase Project Plan
Lessons Learned:
• Plan for cross-functional resources & engage them actively
• Business alignment from Global Records Management, Tax, Audit & Legal teams
• Update the mapping of Record Series Codes to SAP data
SAP Data Archiving Projects – Overview, Results & Lessons Learned
SAP ILM
Implementation
Archiving Catch-up
JobsData Archiving Strategy Abbott Data Carve-Out
Operationalize
Archiving Runs
2015Q3-Q4
Overview:
• Remove Abbot data from SAP Systems after corporate spinoff in 2013
• Reduce cost of SAP systems and improve performance
• Prepare for move to SAP HANA
2015-16Q4-Q1
2016Q2-Q4
2017Q1
2017Q2+
Results:
• Abbott data removed from AbbVie SAP system on-time.
• Improved performance.
• Compliance with AbbVie Global Data Retention policies.
• Significant cost savings for preparation to move to HANA from data reduction (~ 1 TB) on Production instance.
Lessons Learned:
• Optimize cost and reduce risk by going in for an outcome based contract.
• Consider unique business scenarios and test the same during user acceptance phase that includes negative testing
• Simplify validation plan specific to Data Archiving in your corporate IT SLC process.
SAP Data Archiving Projects – Overview, Results & Lessons Learned
SAP ILM
Implementation
Archiving Catch-up
JobsData Archiving Strategy Abbott Data Carve-Out
Operationalize
Archiving Runs
2015Q3-Q4
Overview:
• Implement data archiving, retention management, eDiscovery and Legal Hold in SAP ECC
• SAP ILM• PBS Archive Add-ons • TJC Audit Extraction Cockpit• TJC Archive Session Cockpit• IBM Spectrum Protect• Dolphin DNO Archive Add-Ons
2015-16Q4-Q1
2016Q2-Q4
2017Q1
2017Q2+
Results:
• Mapped global Record Series Codes to SAP transactions.
• Implemented 16 Archiving Objects
• Rolled out multiple tool-set to enable business access to archived data (BPO, Tax, Audit etc)
Lessons Learned:
• Establish business completion definitions for data to be archived
• Approval for online residency periods
• Establish business process for legal-holds & permanent data deletion
SAP Data Archiving Projects – Overview, Results & Lessons Learned
SAP ILM
Implementation
Archiving Catch-up
JobsData Archiving Strategy Abbott Data Carve-Out
Operationalize
Archiving Runs
2015Q3-Q4
Overview:
• Plan & schedule archiving jobs during business quiet times
• Establish dynamic selection criteria for auto scheduling of archiving runs
• Establish cross-functional team communication channel on on-going basis
2015-16Q4-Q1
2016Q2-Q4
2017Q1
2017Q2+
Results:
• Archived XXX GB amount of data
• Permanently deleted XXX GB amount of data that met legal retention periods.
Lessons Learned:
• Plan for very old data w/ less data volume for 1st set of archiving runs
• Plan for a ‘pause’ after 1st set of archiving runs to assess real-time business impact, if any
• Communication & alignment w/ non-SAP system owners
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Sivaraman Pachaiappan Sandeep Kumar Ajay NannapaneniSr Manager Solution Architect IT Lead
Enterprise Analytics and Information Life Cycle Management