Data Stacks have traditionally been comprised of all-in-one, monolithic solutions. Powerful, but often rigid, expensive, and slow to adapt. In this session, we’ll explore how a composable architecture flips that model on its head, giving teams the flexibility to integrate best-in-class tools, scale on demand, and move faster. We’ll walk through a practical use case comparing a traditional CDP with a composable approach, highlighting the trade-offs and the tangible benefits in agility, cost, and business impact.
talk-data.com
Speaker
David Bentham
2
talks
VP GTM
DinMo
David is VP of Sales at DinMo, where he leads the customer-facing team. He works closely with data and business leaders to turn complex challenges into practical, high-impact use cases, helping organisations unlock more value from their data with a composable Customer Data Platform approach.
Bio from: Big Data LDN 2025
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Data Stacks have traditionally been comprised of all-in-one, monolithic solutions. Powerful, but often rigid, expensive, and slow to adapt. In this session, we’ll explore how a composable architecture flips that model on its head, giving teams the flexibility to integrate best-in-class tools, scale on demand, and move faster. We’ll walk through a practical use case comparing a traditional CDP with a composable approach, highlighting the trade-offs and the tangible benefits in agility, cost, and business impact.