EP001
Prioritise process mining scope by business value and data minimisation obligations, expanding to lower-value systems only after demonstrable return.
CyberTRIZ analysis · Process contradiction EP001 · one of 8,235 worked contradictions published by CyberTRIZ.AI
Regulations
Broader Process Mining Coverage vs. Lower Data Processing Cost
Business Context. Extending process mining to cover more systems and processes gives a more complete picture of enterprise operations, but ingesting and processing event logs from an expanding number of source systems increases infrastructure and licensing cost.
Process TRIZ Resolution. Rather than mining every system at full depth simultaneously, organizations should prioritize process mining coverage based on expected business value, expanding to lower-value systems only once higher-value mining has demonstrated clear return.
Applicable TRIZ Principles
Principle 3 (Local Quality) prioritizes mining coverage based on the expected business value of each system.
Principle 15 (Dynamics) expands coverage incrementally as value is demonstrated.
Principle 2 (Taking Out) removes low-value systems from initial mining scope.
Expected Outcome
Broad coverage where it matters most
Controlled data processing cost
Demonstrated return before further expansion
Efficient use of mining infrastructure
Decision Indicators
Process mining scope was expanded uniformly regardless of expected value.
Data processing costs have grown faster than measurable mining insight.
No prioritization framework guides mining coverage expansion.
Low-value systems consume disproportionate mining infrastructure resources.
Mining program funding is at risk due to unclear return on investment.
If several of these indicators are present, the contradiction is likely active and the Process TRIZ resolution above should be evaluated.