See the data quality behind your purchases emissions

Understand how much of your purchases emissions are based on real data versus estimates, so you know exactly where to improve your carbon footprint.

What’s new

Your carbon footprint dashboard now includes a widget that measures the data quality behind your purchases emissions. It shows how much of your purchases footprint relies on real, activity based data versus estimated or spend based data.

Why it matters

Knowing where your data quality stands makes it easier to prioritize which suppliers or purchase categories to improve first. Instead of guessing where your footprint is less accurate, you can see it directly from your carbon footprint dashboard and act on it.

Demo di 30 minuti

Guardalo con i tuoi dati

Ti mostriamo come funziona con un esempio simile al tuo.

Richiedi una demo

Altre novità: Impronta di carbonio

Vedi Impronta di carbonio →
  1. District heat, steam and cooling get their own emissions category See heat, steam and cooling emissions calculated separately from electricity, with dedicated emission factors and Scope 2 and Scope 3 (category 3) accounting for more precise results.
  2. Download scope 1, 2 and 3 data in a single file Clients can now export all of their scope 1, 2 and 3 carbon footprint data in one Excel or CSV file instead of pulling separate exports per scope.
  3. Enter historical Scope 2 emissions with the location based method You can now log historical Scope 2 emissions using the location-based method, split into electricity and heat, steam and cooling, so your past data is as detailed as your current reporting.
Demo di 30 minuti

Guardalo con i tuoi dati.

Trenta minuti con il nostro team. Ti mostriamo come entrerebbero i tuoi dati e cosa ne usciresti.

Richiedi una demo
  • Senza impegno
  • Con i tuoi dati
  • Nella tua lingua

Come sarà la tua sessione

  1. 01 Ci racconti cosa ti chiedonoClienti, auditor o banche: quali dati e per quando. 0–5 min
  2. 02 Vediamo come entrerebbero i tuoi datiFatture, ERP, fornitori: con un esempio simile al tuo. 5–20 min
  3. 03 Ti porti a casa il pianoCosa automatizzare per primo e quanto tempo risparmi. 20–30 min
Con una persona del team che poi ti accompagna