Carbon GPT
User Guide

PCAF Dashboard

Written by Danial Hanif (Product Engineer)
Published Sep 24, 2026 Updated Sep 23, 2026

The headline view of your financed emissions. See how much your portfolio finances, which clients and asset classes it comes from, and how good the data behind it is.

PCAF Dashboard screen in CarbonGPT
PCAF Dashboard screen in CarbonGPT

Open PCAF Dashboard in Carbon GPT →

Set up first

  • Financial Assets — the totals and charts are calculated from the financial assets in your portfolio.

What you can do

  • Read Emission Intensity (with Total Outstanding), Total Financed Emission and Weighted Avg DQS in the cards at the top.
  • Switch between Absolute (tCO2e) and Intensity (tCO2e / RM mil) to change what the charts show.
  • Group Financed Emissions by Category by Sector, Asset Class or Business Unit.
  • See your largest clients in Financed Emissions Top 10 Clients.
  • Check data quality in Outstanding Balance by Data Quality Score and its Distribution chart, shown Grouped or Stacked.
  • Use Filters to narrow the whole dashboard by Reporting Year, Asset Class, Sector, Sector Category, Business Unit or Data Quality Score.

How to read your financed emissions

1. Choose absolute or intensity

Use the switch at the top-right. Absolute (tCO2e) shows total financed emissions. Intensity (tCO2e / RM mil) shows emissions per RM million outstanding, so you can compare parts of the portfolio of different sizes.

Step 1: Choose absolute or intensity
Step 1: Choose absolute or intensity

2. Narrow the view with filters

Click Filters and pick a Reporting Year, Asset Class, Sector, Sector Category, Business Unit or Data Quality Score. Every card and chart updates. Reset All Filters clears them.

Step 2: Narrow the view with filters
Step 2: Narrow the view with filters

3. Check your data quality

Scroll down to see your top 10 clients and how your outstanding balance splits by Data Quality Score. In PCAF, score 1 is the best data and score 5 the weakest.

Step 3: Check your data quality
Step 3: Check your data quality