Data & AI

This section provides an overview of all Data & AI metrics. These metrics focus on data volume, data retention, compute intensity of data and machine-learning workloads, and the resulting energy use and emissions. They help teams understand and control the sustainability impact of data storage, processing, and AI-driven systems across their lifecycle.

Below is the list of all metrics in this category:

Metrics Overview

  • Data Volume (GB)
    Measures the total amount of data stored for a product or system, highlighting storage footprint and growth trends.

  • Retention Days (Weighted)
    Captures the effective data retention duration across data domains, supporting data minimization and compliance-aware storage decisions.

  • Compute Hours per Job
    Measures the compute time consumed by batch or machine-learning jobs, making heavy data-processing workloads visible.

  • CO₂e Emissions per Job
    Measures greenhouse gas emissions per batch or ML job, combining energy consumption with regional carbon intensity.

← Energy per Compute per Transaction or Job Data Volume →

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