Data quality is central to accurate carbon accounting. Green Project uses automated and manual checks to ensure the emissions data you submit is reliable, accurate, and defensible.
Your customer relies on your data to calculate their own corporate footprint and report to investors, regulators, and the public. Your data also helps identify where to focus reduction efforts, builds your credibility as a supplier, and supports the science-based targets that require reliable baseline data. As climate disclosure becomes increasingly mandatory, data quality is only growing in importance.
What Makes Data High Quality?
High-quality corporate emissions data is:
Complete — Covers your full operational scope for the entire reporting period
Accurate — Reflects your actual spending and emissions
Consistent — Uses the same methodology and boundary year-over-year
Documented — You can explain where the data came from and any assumptions made
Reasonable — Passes sanity checks against your industry
Common reasons data is initially flagged include Scope 3 emissions appearing too low, emissions intensity that's unusually high or low, partial-year data, unexplained year-over-year changes, or missing supporting information like revenue or employee count. None of these mean your data is wrong — they just need clarification or adjustment.