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Data Accuracy

What is Data Accuracy?

The principle that personal data must be accurate, kept up to date, and corrected or erased when inaccuracies are identified.

Privacy and Data Protection

Each of these is named in at least one of the same controls as data accuracy. The number is how many controls name both.

What the standards actually require on data accuracy

Requirements naming data accuracy across 6 standards, quoted from the control text.

Organisation maintains accurate, complete, and relevant personal information to suit the purposes it is used for.

PMF-DI.1 · Data Accuracy →

Controllers must take all reasonable steps to ensure that personal data is accurate and up to date, with mechanisms for data subjects to rectify incorrect data and to have unlawfully processed data destroyed or corrected.

CH-FADP-05 · Data accuracy and rectification →

The bank must have documented, validated and independently audited procedures for identifying, collecting and treating internal loss data, based on a 10-year observation period (minimum five years on an exceptional basis, including all good-quality years beyon...

basel-iii-international-banking-framework::OPE25-LOSS · Identify, collect and treat internal operational loss data to the minimum standards →
HKMA SPM2 controls

Sets the minimum standards for the commercial credit reference agency scheme: comprehensive participation by AIs and their subsidiaries; customer consent from SME limited companies and unlimited companies;

hkma-spm::IC-7 · IC-7 The Sharing and Use of Commercial Credit Data through a Commercial Credit Reference Agency →
BCBS 2391 control

The bank can generate accurate and reliable risk data for normal and stress reporting, aggregated largely automatically to limit errors. Controls over risk data are as robust as those over accounting data;

bcbs-239::P3 · Principle 3: accuracy and integrity of risk data →

Accuracy. Section 21 requires organisations to make a reasonable effort to ensure personal data collected is accurate and complete, where it may be used to make a decision affecting the individual or disclosed.

BN-PDPO-s21 · Accuracy of personal data →

Questions people ask about data accuracy

What is Data Accuracy?
The principle that personal data must be accurate, kept up to date, and corrected or erased when inaccuracies are identified.
Why is Data Accuracy important for compliance?
Data Accuracy is a key concept in Privacy and Data Protection. Understanding data accuracy helps organizations meet regulatory requirements, reduce risk, and demonstrate due diligence during audits. Our compliance platform maps 1,016 frameworks with 316K cross-framework control mappings.
Which compliance frameworks address Data Accuracy?
Data Accuracy appears in the requirement text of AICPA Privacy Management Framework (PMF), Switzerland New Federal Act on Data Protection (nFADP/nDSG, 2023), Basel III International Banking Framework, HKMA SPM, BCBS 239. Across these standards we have identified 8 controls that name it directly, each linked to the control text on the compliance platform.
Where can I learn more about Data Accuracy?
Explore our compliance framework pages to see how data accuracy applies across different standards and regulations. Our implementation guides provide step-by-step guidance, and the compliance platform offers AI-powered analysis of how this concept maps across 1,016 frameworks.

See how Data Accuracy applies across compliance frameworks

Our platform maps 1,016 frameworks with 316K cross-framework control mappings. Explore how this concept is addressed across standards.

Written and maintained by Gerard Blokdyk, The Art of Service.