As more companies accelerate greenhouse gas (GHG) emissions reporting and sustainability efforts, others are getting stalled by their own data.
In a recent survey of sustainability professionals, Sphera discovered that nearly 80% were reporting on Scopes 1, 2 and 3 – a 27-point increase over the previous year findings. That number could be higher if the right data were easier to collect and measure.
However, many companies struggle to put their arms around the appropriate information, especially with complex Scope 3 emission data.
If you’re reporting on all three, you already know that Scope 1 reporting involves direct emissions from sources owned or controlled by your company, such as company vehicles and facilities. Scope 2 covers indirect emissions from purchased energy and is tied to energy consumption. Both sets of data are readily available from internal resources and relatively easy to interpret.
Scope 3 emissions data relates to the indirect emissions in your value chain, which can be far more challenging to collect, aggregate and measure. In the Sphera survey, 62% of respondents who report on Scope 3 cite internal data quality issues as a top challenge. Others struggle with supplier participation, with only 54% actively working together for better emissions insights.
Scope 3 is usually a company’s largest source of emissions. However, because much of this data originates from outside the company, downstream categories like processing and use of sold products are often underreported. Data availability and quality also present hurdles. In the Scope 3 survey, 79% of respondents identified problems in obtaining quality supplier data and internal data as a critical concern.
To properly report Scope 3 emissions, companies must prioritize the quality and granularity of the data used to assess them. Outdated calculations or manual methods make it difficult to track progress, meet reduction targets and support credible disclosures.
It’s no surprise, then, that many sustainability leaders become frustrated by their data.


