Confidence Factor
Every recommendation includes a confidence score — so you know exactly how much to trust each insight.
Not all data is created equal. Some insights are rock-solid; others are directional at best. The difference matters when you're making decisions that affect budgets and operations.
Alpaka's Confidence Factor scores every recommendation based on data quality, completeness, and freshness. You see exactly what went into each insight — and how much weight to give it.
What You Get
Transparent scoring
Every opportunity includes a confidence score based on data completeness, freshness, and source reliability.
Data-backed clarity
View the inputs, assumptions, and resources used to generate each recommendation.
Faster decisions
High-confidence items move forward quickly; lower scores prompt targeted data collection.
Continuous improvement
As data quality improves, confidence scores update automatically.
Use Case Snapshot
A finance director uses Confidence Factor to prioritize high-certainty savings opportunities, achieving 95% realization rate on pursued initiatives.
Realization rate
High-confidence opportunities