Struggling to Measure Your Carbon Footprint?

Tracking emissions across your operations, supply chain, and product lifecycle is no small task. The pressure is mounting from customers, investors, and regulators—yet many organizations are still relying on spreadsheets and siloed data.

That’s where external data and AI-driven carbon accounting platforms come in.

By integrating internal energy and waste data with third-party environmental benchmarks, climate inputs, and policy data, organizations can take real, measurable steps toward decarbonization.

Why External Data Improves Carbon Footprint Management

✅ Gain a more complete, accurate view of emissions across your operations
✅ Compare your footprint against industry benchmarks and sustainability standards
✅ Identify hotspots in your supply chain and uncover reduction opportunities
✅ Communicate performance confidently to stakeholders, regulators, and customers

How It Works

🔹 Ingest internal energy, transportation, and waste data alongside external benchmarks
🔹 Use PCA and machine learning models (SVMs, Random Forests) to track and forecast emissions
🔹 Clean and prep emissions data with tools like OpenRefine
🔹 Visualize and share progress via dashboards with tools like Tableau or SAP Carbon Management

Real-World Impact: Boeing Cuts Emissions by 29%

Boeing has reduced its manufacturing greenhouse gas emissions by 29% since 2007. Their strategy includes building more fuel-efficient aircraft, sourcing renewable energy, and recycling nearly 90% of unused plane parts. Every new aircraft they launch is 15–25% more efficient than the one it replaces—showing that bold targets are achievable with data-driven action.

📩 Want to get serious about sustainability? Contact Blue Street Data to integrate the external datasets and tools you need to make carbon footprint tracking smarter—and more actionable.

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Live Webinar

Building Teams and Data For the Future

October 13th / 11:30 AM EST

AI can’t deliver impact without preparation. It starts with your teams and your data. Join this live session and explore what it really means to be AI-ready, from aligning people and processes to structuring reliable data pipelines, and share practical frameworks to strengthen your foundation for fair, scalable outcomes.