Large Data Volumes vs Data Quality

Enforce need-to-know data classification and privacy-enhancing technologies so vendors receive only operationally necessary data, limiting confidentiality and regulatory exposure.

CyberTRIZ analysis · CognitiveBias contradiction D004 · one of 8,235 worked contradictions published by CyberTRIZ.AI

Regulations

EU_GDPR ISO_27001 ISO_31700 NIST_PRIVACY_FRAMEWORK DCAM

Business Context

Organizations collect increasing amounts of information to improve analytics, but larger datasets may also contain inaccuracies, inconsistencies, or historical biases.

CognitiveTRIZ Resolution

Implement continuous data quality management and validation processes before using data for AI training or strategic decisions.

Recommended Principles

Principle 8 -Evidence-Based Decisions

Principle 19 -Independent Verification

Principle 20 -Continuous Feedback

Expected Outcome

Higher-quality data

Better AI performance

Reduced data bias

More reliable decisions

Decision Indicators

Early indicators that increasing data volumes may be reducing data quality include:

Duplicate or inconsistent records become more frequent.

Data validation processes struggle to keep pace with data growth.

Analytical results vary because of inconsistent datasets.

Historical biases remain embedded within training data.

Decision-makers question the reliability of available information.

Monitoring these indicators supports continuous improvement of data quality and more reliable AI performance.

TRIZ principles applied

P8 Evidence-Based DecisionsP19 Independent VerificationP20 Continuous Feedback

Controls that address this (22)

EU_GDPR-CTRL-001 - Daily safeguarding reconciliationoperational · critical priority · Daily reconciliation between safeguarded customer balances, core ledger balances and safeguarded bank accounts. Variances above EUR 100 must EU_GDPR-CTRL-002 - Critical ICT incident reportingoperational · critical priority · All major ICT incidents impacting payment services, customer data or availability must be classified within 4 hours and reported under DORA EU_GDPR-CTRL-003 - GDPR breach notification workflowoperational · critical priority · Personal data breaches must be assessed within 12 hours and reported to the Belgian DPA within 72 hours where risk to data subjects exists.