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Overview of Sustainability data solutions in Fabric

Sustainability disclosures, analytics and reduction require rich environmental, social, and governance data that originate from disparate sources and need to be unified to improve its efficiency and value. Sustainability data solutions in Microsoft Fabric provide unique capabilities to ingest, harmonize, and process disparate data for specific sustainability scenarios.

This table summarizes the functions and constitution of the different capabilities in Sustainability data solutions in Microsoft Fabric.

Capability What it does What it contains
ESG Data Estate Centralize and transform disparate data into one sustainability data lake that conforms to a standardized ESG schema. Lakehouses with extensible ESG schema to create the sustainability data lake and notebooks to build data transformations.
Environmental data and insights Build custom insights for carbon, water, and waste by connecting to your data in Microsoft Sustainability Manager. Notebooks that apply data transformation rules.
Environmental social and governance metrics Compute, visualize, and analyze ESG metrics for regulatory standards like Corporate Sustainability Disclosure Regulation (CSRD) by using prebuilt and custom metric definitions. Notebooks, pipelines, tables, semantic models, and reports to compute, store, and visualize ESG metrics for regulatory standards.
Social and governance insights Generate social and governance insights from disparate social and governance data in the ESG data lake. Notebooks, semantic models, and reports to compute and analyze social and governance metrics beyond regulatory disclosure.
Microsoft Azure emissions insights Report and analyze Microsoft Azure emissions data by collecting and processing the emissions data in the ESG data lake. Notebooks, semantic models, and reports to acquire, process, store, and visualize emission data for Azure subscriptions and resources.

Note

The ESG data estate capability is a prerequisite for all other capabilities.

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