Integrating Scope 3 Data into Snowflake and ERPs

Scope 3
Marc Munier
,

CEO

3 min read
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Table of contents

Howden manages Scope 3 PG&S emissions across 55 countries with DitchCarbon.

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The Growing Pressure for Integrated Scope 3 Data

Sustainability and procurement teams face increasing demands for accurate, auditable Scope 3 emissions data. Whether meeting SBTi commitments or answering investor questions, the need for defensible numbers is clear. Yet, many teams are caught between ambitious targets and the messy reality of data collection.

One of the biggest hurdles is getting crucial emissions data out of siloed reports and into the systems where decisions are made. We’re talking about data warehouses like Snowflake and the ERP systems our procurement colleagues use daily, such as SAP Ariba. The goal is to embed sustainability metrics into the organisation’s operational DNA, but the path is often blocked by manual processes and fragmented data.

The API Advantage: Bridging the Data Gap

The traditional approach of manual data entry, endless spreadsheets, and bespoke integrations is slow and prone to error. It creates data silos, leads to inconsistencies, and erodes trust in the final figures. Explaining a sudden jump in your Scope 3.1 emissions to an auditor is much harder when the underlying data is a tangle of unverified figures.

An API-first approach changes the game. Instead of treating emissions data as a separate, manually-handled stream, APIs allow it to flow seamlessly into your existing IT infrastructure. Verified emissions data can be pulled directly into data lakes like Snowflake, providing a single, holistic view alongside other business intelligence. For engineering teams, this means leveraging established API keys instead of building and maintaining fragile, custom integrations. It frees up valuable resources and accelerates the journey from data to insight.

Why Snowflake and ERP Integration Matters

Your financial reporting pipelines are robust, automated, and audit-ready. Your emissions data should be too. Integrating emissions data into Snowflake allows for complex querying and the ability to combine sustainability metrics with financial and operational data. This synergy enables a far deeper understanding of climate risks and opportunities.

Similarly, bringing this data into procurement platforms like SAP Ariba is essential for driving real change. When procurement teams can see a supplier's verified emissions profile alongside pricing and quality metrics, the conversation shifts from being purely cost-driven to value-driven. As a European Commission report notes, integrating critical data into corporate processes is a well-established need for manufacturers. By providing this data upfront, you empower buyers to make smarter decisions before a purchase order is ever raised.

Pulling verified data points via an API-such as a supplier’s Scope 1 and 2 emissions, assurance statements, and revenue for a specific year-builds a defensible data foundation that stands up to scrutiny.

From Integration to Impact

Real-time, integrated emissions data does more than satisfy reporting requirements. It empowers better, faster decision-making. Imagine being able to:

  • Identify high-impact suppliers instantly: Procurement can prioritise engagement with suppliers who offer the greatest reduction opportunities.
  • Track SBTi progress automatically: Dashboards fed by Snowflake can show real-time progress against your targets without manual aggregation.
  • Conduct effective scenario planning: Model the carbon impact of different sourcing strategies within your existing analytics environment.
  • Reduce supplier fatigue: By pulling data from verified sources, you minimise repetitive survey requests to your supply chain partners.

DitchCarbon is designed with this API-first philosophy. Our goal isn't just to collect data, but to make it universally accessible and usable. Every data point is available via API, ready to be analysed in Snowflake, visualised in a dashboard, or embedded directly into your procurement workflows. The power isn’t in holding the data, but in deploying it where it matters most.

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