PD015
Begin analysis on the most accessible high-value data immediately and expand the dataset iteratively only where findings justify deeper investigation.
CyberTRIZ analysis · Process contradiction PD015 · one of 8,235 worked contradictions published by CyberTRIZ.AI
Regulations
Broader Data Collection vs. Faster Process Analysis
Business Context. Comprehensive data collection across every system touching a process improves the accuracy of subsequent analysis, but assembling and cleaning that much data can delay the analysis itself for weeks.
Process TRIZ Resolution. Instead of waiting for complete data collection, organizations should run an initial analysis on the most accessible, high-value data sources and expand the dataset iteratively as findings warrant deeper investigation.
Applicable TRIZ Principles
Principle 1 (Segmentation) starts analysis on a subset of accessible data rather than waiting for the full dataset.
Principle 10 (Prior Action) prepares commonly needed data extracts in advance of future analyses.
Principle 21 (Skipping) moves quickly through low-value data preparation steps to reach insight faster.
Expected Outcome
Faster initial insight
Preserved analytical depth where needed
Reduced project delay
Iterative confidence building
Decision Indicators
Analysis projects stall for weeks waiting on data extraction.
Findings arrive too late to influence the decision they were meant to support.
Analysts request every available data source regardless of relevance.
Data preparation consumes most of the project timeline.
Stakeholders lose patience before analysis is complete.
If several of these indicators are present, the contradiction is likely active and the Process TRIZ resolution above should be evaluated.