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Module 25: BW/4HANA Security & Compliance (BW/4HANA 2.0)

Security and compliance in BW/4HANA go beyond authorizations.
They ensure data privacy, regulatory adherence, controlled access, and audit readiness across the analytics lifecycle.

This module covers:

  • Data privacy concepts
  • GDPR considerations
  • Data masking
  • Secure data access
  • Audit readiness

1. Data Privacy Concepts (Foundation)

1.1 What is Data Privacy in BW?

Data privacy ensures:

  • Personal data is protected
  • Access is limited to authorized users
  • Usage aligns with legal requirements

Typical sensitive data:

  • Employee data
  • Customer PII (Personally Identifiable Information)
  • Financial identifiers
Key Principle

Not all data is sensitive, but sensitive data must be protected everywhere.


1.2 Privacy in Analytical Systems

Unlike OLTP:

  • BW aggregates and distributes data
  • Risks increase with broader visibility

Therefore:

  • Strong governance is mandatory
  • Authorizations alone may not be sufficient

2. GDPR Considerations (Critical for EU & Global Systems)

2.1 GDPR Basics Relevant to BW

Key GDPR principles affecting BW:

  • Data minimization
  • Purpose limitation
  • Access control
  • Right to erasure
  • Auditability
warning

BW systems often store historical data, which increases GDPR risk.


2.2 GDPR Implications in BW/4HANA

GDPR RequirementBW Impact
Data minimizationAvoid over-modeling
Access restrictionAnalysis authorizations
Right to be forgottenData deletion / anonymization
Audit trailLogging & monitoring

2.3 Best Practices for GDPR in BW

DO

Identify personal data early
Limit persistence of sensitive fields
Define retention policies


3. Data Masking (Very Important)

3.1 What is Data Masking?

Data masking hides sensitive values while:

  • Preserving analytical usefulness
  • Preventing exposure of raw data

Examples:

  • Masking employee IDs
  • Obscuring customer names
  • Partial display of identifiers

3.2 Data Masking Techniques in BW

TechniqueUsage
Authorization-based maskingRole-driven
Query-level restrictionsRKFs / filters
CDS-based maskingDCL rules
Derived attributesAnonymized values
Best Practice

Mask data at the lowest possible layer.


4. Secure Data Access

4.1 Multi-Layer Security Model

Secure access in BW combines:

  • PFCG roles
  • Analysis authorizations
  • Query authorizations
  • Network security
User → Role → Analysis Authorization → Query → Data

4.2 Secure Access Best Practices

DO

Use least-privilege principle
Separate admin vs reporting roles
Regularly review role assignments

AVOID

Overly broad authorizations
Hardcoded user logic
Bypassing BW security via direct DB access


5. Audit Readiness

5.1 What is Audit Readiness?

Audit readiness means:

  • Ability to demonstrate compliance
  • Traceability of data access
  • Clear governance documentation

5.2 Audit-Relevant Areas in BW

AreaAuditor Focus
Data accessWho sees what
Change managementTransports & changes
Data lineageSource to report
LoggingAccess & execution

5.3 Tools Supporting Audit Readiness

  • Authorization logs
  • Process chain logs
  • Request monitoring
  • Transport logs
info

Auditors care more about process control than technical details.


6. BW/4HANA vs Classic BW (Security & Compliance)

AreaClassic BWBW/4HANA
Data volumeLowerMuch higher
Privacy riskMediumHigh
Masking optionsLimitedAdvanced
Audit expectationsModerateHigh

7. Common Compliance Mistakes

Avoid These

Persisting unnecessary personal data
No data retention policy
Weak authorization design
No audit documentation


8. Interview-Grade Questions

Q1. How does BW support GDPR compliance?

Answer: Through analysis authorizations, controlled persistence, data masking, retention policies, and audit logging.

Q2. Why is data masking important in BW?

Answer: Because BW data is widely consumed for analytics, masking prevents exposure of sensitive information while preserving reporting usefulness.


9. Summary

  • Data privacy is critical in BW
  • GDPR impacts modeling and retention
  • Masking protects sensitive data
  • Secure access requires layered security
  • Audit readiness ensures compliance

10. What's Next?

➡️ Module 26: Testing, Validation & Quality Assurance (BW/4HANA)

Learning Tip

Security gaps in analytics lead to business-level risks, not just IT issues.