Cross-Framework Mapping

ISO/IEC 25012:2008 — Data Quality Modelvs6th Anti-Money Laundering Directive (AMLD6, Directive (EU) 2018/1673)

See exactly how ISO/IEC 25012:2008 — Data Quality Model controls map to 6th Anti-Money Laundering Directive (AMLD6, Directive (EU) 2018/1673). Pre-computed mappings, identified gaps, and coverage analysis.

23
Controls Mapped
0
Gaps Found
22%
Coverage

According to the TheArtOfService Compliance Knowledge Graph:

ISO/IEC 25012:2008 — Data Quality Model maps to 6th Anti-Money Laundering Directive (AMLD6, Directive (EU) 2018/1673) with 22% coverage across 4 directly mapped controls. Analysis of 18 ISO/IEC 25012:2008 — Data Quality Model controls identifies 14 compliance gaps — primarily concentrated in Inherent and System-Dependent Data Quality Characteristics.

Source: TheArtOfService Knowledge Graph | 18 controls analysed | 693 frameworks | 819K+ cross-framework mappings

Control Mappings

Showing 20 of 23 mapped controls across 2 domains. Sign up to explore all 819K+ mappings across 693 frameworks.

System-Dependent Data Quality Characteristics(2 mappings)

ISO-25012-4.13Availability2 targets
BS65000-IM-01Resilience Assessment
BS65000-IM-03Continuous Improvement

Data Quality Model Application(18 mappings)

ISO-25012-5.1Establishing data quality requirements3 targets
ISO-8000-IMP-01Quality Measurement
ISO-8000-IMP-02Quality Improvement
ISO-8000-IMP-03Sector Applications
ISO-25012-5.2Defining data quality measures9 targets
Art. 2Consent Definition
Art. 4Participating Institutions
Art. 4Participating Institutions
Art. 8Data Categories
FATF-TR-IMP-03VASP AML/CFT
ISO-8000-IMP-01Quality Measurement
ISO-8000-IMP-02Quality Improvement
ISO-8000-IMP-03Sector Applications
Part 1, Sec. 4Application and Scope
ISO-25012-5.3Planning and performing data quality evaluations6 targets
Art. 2Consent Definition
Art. 4Participating Institutions
Art. 4Participating Institutions
Art. 8Data Categories
FATF-TR-IMP-03VASP AML/CFT
ISO-8000-IMP-01Quality Measurement

+3 more mappings

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Related Comparisons

Other ISO/IEC 25012:2008 — Data Quality Model comparisons

Other 6th Anti-Money Laundering Directive (AMLD6, Directive (EU) 2018/1673) comparisons

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What are the key differences between ISO/IEC 25012:2008 — Data Quality Model and 6th Anti-Money Laundering Directive (AMLD6, Directive (EU) 2018/1673)?

ISO/IEC 25012:2008 — Data Quality Model has 18 controls across its framework, while 6th Anti-Money Laundering Directive (AMLD6, Directive (EU) 2018/1673) covers 41 controls. Direct mapping analysis identifies 4 overlapping controls (22% coverage). The frameworks diverge most significantly in Inherent and System-Dependent Data Quality Characteristics, where 7 ISO/IEC 25012:2008 — Data Quality Model controls have no direct 6th Anti-Money Laundering Directive (AMLD6, Directive (EU) 2018/1673) equivalent.

How many controls map between ISO/IEC 25012:2008 — Data Quality Model and 6th Anti-Money Laundering Directive (AMLD6, Directive (EU) 2018/1673)?

Of 18 total ISO/IEC 25012:2008 — Data Quality Model controls, 4 map directly to 6th Anti-Money Laundering Directive (AMLD6, Directive (EU) 2018/1673) controls — representing 22% coverage. The remaining 14 controls represent compliance gaps requiring additional documentation or compensating controls to satisfy both frameworks simultaneously.

What are the compliance gaps when mapping ISO/IEC 25012:2008 — Data Quality Model to 6th Anti-Money Laundering Directive (AMLD6, Directive (EU) 2018/1673)?

14 ISO/IEC 25012:2008 — Data Quality Model controls have no direct equivalent in 6th Anti-Money Laundering Directive (AMLD6, Directive (EU) 2018/1673). The highest concentration of gaps is in Inherent and System-Dependent Data Quality Characteristics with 7 unmapped controls. These gaps represent areas where additional controls, policies, or documentation must be created to achieve compliance with both frameworks.

Which control domains have the most gaps between ISO/IEC 25012:2008 — Data Quality Model and 6th Anti-Money Laundering Directive (AMLD6, Directive (EU) 2018/1673)?

The domain with the highest gap count is Inherent and System-Dependent Data Quality Characteristics (7 gaps). Export the full domain-by-domain gap breakdown via the Professional tier to generate a prioritised remediation roadmap.

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