Is Your Sustainability Strategy Keeping Up—or Falling Behind?

Today’s manufacturers face increasing pressure—from regulators, investors, and customers—to prove their environmental impact. But without external data, it’s hard to know how your sustainability performance stacks up against industry standards.

That’s where third-party data comes in.

By integrating external sustainability benchmarks and supplier ESG profiles, manufacturers can identify areas for improvement, make smarter sourcing decisions, and lead on climate action—without compromising profitability.

Why External Data Powers Better Sustainability Initiatives

✅ Benchmark your carbon emissions, energy use, and waste against industry peers
✅ Identify ESG-aligned suppliers to improve sustainability across your value chain
✅ Improve brand trust with data-backed sustainability reporting
✅ Reduce reputational and regulatory risk through transparency and accountability

How It Works

🔹 Integrate external metrics on emissions, energy, and waste across industry verticals
🔹 Use supplier sustainability scores to build greener procurement strategies
🔹 Apply predictive analytics to model carbon reduction strategies and track progress
🔹 Compare performance over time to industry benchmarks and regulatory standards

Real-World Impact: Investors & Consumers Are Demanding Change

Today, 590 investors controlling $110 trillion in assets demand environmental disclosures from thousands of companies. And 92% of consumers say they trust brands more when they prioritize sustainability—proving that green initiatives drive both revenue and reputation.

📩 Want to level up your ESG strategy with real data? Contact Blue Street Data to connect with external sustainability metrics and supplier insights that help you lead with impact.

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Live Webinar

Is “Quality” Killing Your AI? Defining Data Fit for Strategic Success

February 18th, 2026 / 1:00 PM EST

Every data investment carries risk unless you know how to measure its “fit” for the mission. Many organizations assume that “high-quality” data is sufficient for AI and analytics, only to discover too late that data fit is the real determinant of success. In this live session from Blue Street Data’s Building with Better Data series, Andy Hannah and Malcolm Hawker unpack why data that works for BI can be dangerous for AI, leading to model failure, wasted spend, and lost trust. You’ll learn how to define, measure, and validate data fit so your models deliver reliable, business-aligned outcomes. Reserve your spot today!