SAP Data Governance

Data Lifecycle & Archiving

Reduce migration risk, cut cloud costs, and maintain regulatory compliance with SAP Information Lifecycle Management — the critical pre-migration discipline most enterprises overlook.

40–80%

Database size reduction via archiving

40%

Lower TCO with lifecycle management

2027

ECC mainstream maintenance deadline

Additional cost for ILM on RISE

When to Archive

Pre-Migration vs. Post-Migration Strategy

Data archiving isn't a one-time event — it's a discipline that spans the entire migration lifecycle. The approach differs fundamentally before and after the move to S/4HANA.

Pre-Migration

Before S/4HANA conversion

⚡

Data Volume Assessment — Identify high-volume tables (BSEG, MSEG, CDHDR, BKPF) and aged transactional data candidates for archiving

📊

Archive Object Analysis — Map SAP archive objects to business retention requirements across FI, MM, SD, PP modules

🗂

Legacy Decommissioning — Extract and archive data from legacy systems being retired — old ECC instances, BW cubes, non-SAP databases

⏱

Migration Timeline Reduction — Every TB archived is a TB that doesn't need converting, testing, or validating in S/4HANA

→

Post-Migration

On S/4HANA / RISE

🔄

Automated Retention — Policy-based rules enforce retention periods and automated deletion schedules per data category

📐

Data Tiering — Classify data by access frequency — hot data on HANA, warm on cheaper storage, cold archived for compliance

⚖

Continuous Compliance — GDPR right-to-erasure, HIPAA retention, SOX audit trails — all enforced automatically via ILM policies

💰

Cloud Cost Optimization — Ongoing archiving keeps HANA DB lean, directly reducing RISE/Azure compute and storage licensing

SAP ILM

Information Lifecycle Management Capabilities

SAP ILM is the native framework for policy-based data retention, archiving, and compliant destruction — embedded in S/4HANA and included at no additional cost for RISE customers.

📋

Integrated Data Management

Works across the full SAP RISE ecosystem — S/4HANA, BTP, and connected applications. Automates archiving, retention, and deletion while maintaining data accessibility for reporting.

Included in RISE

🔒

Compliance & Risk Management

Automates regulatory compliance — GDPR data subject requests, HIPAA retention schedules, SOX audit trails. Reduces human error in data handling and ensures defensible deletion.

Audit-Critical

📦

Efficient Data Archiving

Archive inactive data while preserving full access for reporting and auditing. CenterPoint Energy saved over $4.4M by reducing database size through automated archiving programs.

Proven ROI

📶

Data Tiering & Storage Optimization

Classifies data by access frequency and business criticality. Hot data stays on high-performance HANA, warm data moves to cost-effective Azure Blob or AWS S3 tiers automatically.

Cost Savings

🗑

Retention & Deletion Rules

Define granular retention policies per data category, business unit, and jurisdiction. Automated deletion removes expired data on schedule, minimizing risk from unnecessary data retention.

Policy-Driven

Regulatory Coverage

Compliance Framework Matrix

SAP ILM addresses key requirements across major regulatory frameworks. The matrix below maps ILM capabilities to specific compliance obligations.

Requirement	GDPR	HIPAA	SOX	CCPA	ILM Feature
Data Retention Periods	✓	✓	✓	✓	Policy-based retention rules per data class
Right to Erasure / Deletion	✓	◐	—	✓	ILM destruction with legal hold override
Audit Trail Preservation	✓	✓	✓	◐	Archived data remains queryable for auditors
Data Subject Access Requests	✓	✓	—	✓	ILM + SAP Information Retrieval Framework
Legal Hold / Litigation	✓	✓	✓	✓	Hold overrides prevent deletion of flagged records
Cross-Border Data Residency	✓	◐	—	◐	Region-specific archiving tied to Azure geography
Encryption at Rest	✓	✓	✓	✓	HANA native encryption + Azure storage encryption

Interactive Tool

Archiving Impact Estimator

Estimate the potential database reduction and cost savings from a structured archiving program before your S/4HANA migration.

Data Volume Reduction Calculator

Adjust the parameters to see projected impact on your migration.

Current Database Size

Average Data Age

Archiving Depth

Conservative 20%Aggressive 80%

924 GB

Data Archived

1.1 TB

Migrated to S/4HANA

$111K

Est. Annual Cloud Savings

1–2 mo

Migration Time Saved

Database Composition46% archivable

Active data (migrates)Archivable data

Implementation

Archiving Program Timeline

A structured archiving program typically runs in three phases, starting well before the migration cutover.

Assessment & Policy Design

Months 1–3 · Pre-Migration

Data volume assessment across all modules. Map archive objects to business retention requirements. Define ILM policies per data category and jurisdiction. Identify high-impact quick wins — aged change documents (CDHDR), completed workflows, old spool data — that can reduce volume 15–25% with minimal business risk.

Archiving Execution

Months 3–8 · Pre-Migration

Execute archiving runs in waves, starting with low-risk objects and progressing to financial and logistics data. Validate archived data accessibility. Run parallel verification to confirm no business process disruption. Target 40–60% database reduction before migration cutover begins.

Ongoing Governance

Continuous · Post-Migration

Activate SAP ILM policies in S/4HANA for automated retention and deletion. Configure data tiering — HANA for hot, Azure Blob/Cool for warm, Archive for cold. Schedule recurring archiving jobs. Integrate with GRS Live Feed for continuous compliance monitoring and governance scoring.

Assess Your Data Lifecycle Readiness

The Governance Readiness Score evaluates your data archiving maturity across all 9 governance domains — including data lifecycle management, compliance posture, and migration readiness.

Run GRS Assessment →View Pricing