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Cumulative metric

As explained in Effective Data Analysis

A cumulative metric measures the total of current and previous values up to a specified time period.

A cumulative metric totals current and previous values through a specified period. It shows the organization’s state and overall progress at each point in time rather than only what changed during that period. section 7.3.1

Cumulative views help track measures such as total recurring revenue and customer base growth. They should usually be paired with an incremental version, which isolates new values for each period and reveals changes in performance. section 7.3.1

Use cumulative metrics with these cautions:

  • A continually rising total can hide slowing growth or declining period-by-period performance. section 7.3.1 section 7.4
  • Treat an unaccompanied cumulative measure cautiously because it can become a vanity metric that looks positive without supporting actionable decisions. section 7.3.1

How Effective Data Analysis covers it

How deep it goes
Defines cumulative and incremental calculations, explains their interpretive trade-off, and stops short of implementation procedures.
Examples
Uses customer totals, recurring revenue, all-time revenue, and cumulative user counts alongside period-based comparisons.
What it assumes
Assumes familiarity with metrics measured across time and teaches the distinction between cumulative and incremental calculations.
What you can do after
Evaluate cumulative measures alongside incremental alternatives to distinguish overall progress from changing performance.
How it connects
Connects cumulative metrics to incremental metrics, vanity metrics, trends, and counter metrics.

Related concepts

This explainer was generated by Manning's knowledge graph from the text of Effective Data Analysis. The section links point to the parts of the book it draws on.