BSD Joins SIG

Blue Street Data Aligns with SIG to Support the Future of Data-Driven Procurement

July 10, 2025

PITTSBURGH, PA – Our team at Blue Street Data is proud to be part of the, Sourcing Industry Group (SIG), a global community of sourcing, procurement, and risk leaders. As longstanding members, we’re continuing to engage with this network to help raise the standard for how organizations evaluate and transact with external data.

We know that data has long been a foundational input for business decisions but as the external data market grows more crowded and complex, procurement teams need better tools and frameworks to navigate it. That’s where we come in.

At Blue Street Data, we help organizations reduce friction, increase transparency, and build trust throughout the data buying journey. Our platform enables teams to discover, compare, and evaluate third-party datasets in minutes, not months, while offering deeper insight into price, quality, and vendor fit.

SIG provides a valuable forum to share ideas, learn from peers, and shape best practices around external data sourcing. We’re especially focused on helping sourcing professionals think differently about vendor risk, metadata standardization, and how to drive more value from external data investments.

We’re excited to continue this work alongside SIG’s innovative member community.

Learn more about Blue Street Data’s work in external data sourcing and procurement innovation at Blue Street Data or through SIG’s member community.

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!