Data Dimensions & Metrics

Discover how Tracenable structures Climate Targets data with one core GHG reduction metric, standardized under the GHG Protocol and SBTi.

How Dimensions and Metrics Work

Tracenable datasets are usually built on a dimensional model, where dimensions describe how data can be analyzed (for example, by scope or energy type) and metrics represent the quantitative values being measured, each formed from the combination of multiple dimensions.

However, the Climate Targets dataset is structured differently. Unlike datasets that track continuous activities over time, this dataset captures discrete corporate goals. Each record already contains all the context required to describe a company’s greenhouse gas (GHG) emissions reduction target.


Why This Dataset Has No Dimensions

Because every target includes its own scope coverage, baseline, target year, and reduction magnitude, the dataset does not rely on separate analytical dimensions. All relevant attributes are embedded directly within each record, making the structure simple, self-contained, and easy to interpret.


Metric in the Climate Targets Dataset: GHG Emissions Reduction Target

The sole metric in Tracenable's Climate Target dataset is the Greenhouse Gas (GHG) Emissions Reduction Target.

It represents the targeted reduction of a company's GHG emissions (scope 1, 2, 3 and their GHG Protocol-defined sources/categories), either as an absolute figure or adjusted according to an intensity metric, from a designated baseline year to the target year.

Each target includes key details such as:

  • Scope coverage (Scope 1, 2, 3 and their GHG Protocol-defined sources)

  • Target type (Absolute or Intensity-based)

  • Reduction magnitude (Percentage or absolute value)

  • Baseline and base year (The reference point from which reductions are measured)

  • Target year (The future year by which the reduction is to be achieved)

  • Achievement and achievement year (Track actual progress toward the target and the year in which that progress is reported)

Takeaway: