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In this episode of Deconstructing Data, hosts David Finkelstein and Jessie Lizak sit down with Eric Williamson, CMO of CallMiner, to explore how businesses can turn the massive volume of customer conversations they collect into actionable intelligence. Eric explains why analyzing every customer interaction—not just a small sample—can uncover insights that improve customer experience, product development, marketing, and business performance. The conversation also explores how AI and agentic technology are helping enterprises make sense of overwhelming amounts of customer data while making those insights accessible to people beyond traditional data analysts.
Eric also discusses the importance of connecting customer experience and marketing data, combining solicited feedback like surveys with unsolicited insights from real customer interactions. He shares why businesses should start small when activating their data, the importance of human oversight when deploying AI agents, and the risks of trying to build complex AI solutions without considering security, scalability, integrations, and total cost of ownership. The episode wraps up with a look at the technology stack Eric and his team use to support marketing, sales, customer engagement, and data-driven decision-making.
Main Topics Covered
Turning Customer Conversations into Actionable Intelligence
Using AI to Overcome Customer-Data Overload
Connecting Marketing and CX for Enterprise Alignment
Building a Technology Stack That Supports Action
Connect with Eric Williamson
Website: CallMiner
LinkedIn: Eric Williamson on LinkedIn
CallMiner LinkedIn: CallMiner on LinkedIn
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Website: BDEX
LinkedIn: BDEX on LinkedIn
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Connect with David Finkelstein
LinkedIn: David Finkelstein on LinkedIn
Connect with Jessie Lizak
LinkedIn: Jessie Lizak on LinkedIn