How Modern Data Platforms Scale: Identity Graphs, Data Enrichment & Intent Data Explained

What does it actually take to build and scale a modern data platform? In this episode of SpringDB Data Exchange, we sit down with Nick Weldon, Co-Founder of 5x5, to break down how today’s leading platforms are powered by identity graphs, data enrichment, and intent data. Nick shares how 5x5 built a unique data co-op model, where companies collaborate and exchange first-party and behavioral data to create a massive, unified data ecosystem—without relying on traditional data vendors or expensive data licensing. We go deep into how data platforms are evolving, why enrichment is no longer optional, and how companies can unlock powerful insights by combining multiple data sources into a single identity graph. 🧠 What You’ll Learn What an identity graph is and how it connects B2B, consumer, device & behavioral data Why data enrichment is critical for CRM, MarTech & AdTech platforms How intent data actually works (and why most solutions get it wrong) The challenges of scaling large data pipelines (petabyte-level) How modern platforms use data to build better products and experiences 🎯 Who Should Watch Product leaders building data-driven platforms Founders exploring data as a competitive advantage Data engineers & architects working with large-scale datasets Growth, RevOps, and marketing teams using enrichment & intent data Anyone curious about how modern data ecosystems actually work 🔗 Full Podcast & More Episodes 👉 https://springdb.io/podcast