Grupo Alarcos · Journal article · 2026
Building Trustworthy Metrics: A Practical Framework for FinOps
Carlos Mario Braga Ortuño, Manuel Ángel Serrano Martín, Eduardo Fernández-Medina Patón
This article examines how automated cost metrics, such as “cost per query,” can become technically correct but analytically misleading when computation and data consumption are decoupled in modern business intelligence architectures. It introduces a practical framework for evaluating the trustworthiness of FinOps metrics, helping organizations ensure that automated indicators remain aligned with real operational and business value. The framework adapts seven principles from trustworthy artificial intelligence to guide the design, auditing, and interpretation of metrics, providing engineers and FinOps practitioners with actionable criteria for transparent, reliable, and accountable measurement.