Adam's presentation explores why modern data teams are turning their data warehouse into the core of a Composable Customer Data Platform.

Not your usual presentation. Come to hear a fairy tale about how a Brave Team of Data Knights Saved the Kingdom from AI Mayhem.

Many data teams are under pressure to organizations leverage AI, but few recognize that AI is only as powerful as the data behind it. In this session, industry veteran Adam Greco will use humor and storytelling to explore why companies often struggle to centralize customer data and how fragmented, team-owned datasets undermine AI’s potential. He will highlight how executives sometimes turn to AI as a shortcut, overlooking the fundamental need to fix core data challenges first.

Drawing on decades of experience, Adam will explain how AI inevitably magnifies the quality of your current data—accelerating either insights or errors. He will show how the urgency of AI adoption can serve as a catalyst for improving data governance, centralization, and accessibility. Once organizations establish a single source of truth, AI can be harnessed to deliver meaningful efficiencies, empower marketers with real-time access, and drive smarter decision-making across the enterprise.

Attendees will walk away with a practical understanding of why clean, centralized data is the foundation of AI success—and how to position AI as an enabler of transformation, not a distraction from data realities.

Adam will share real-world stories of how organisations like Salesforce have combined analytics data and storytelling to influence change.

Marketing teams need analytics. Product teams need analytics. There are marketing analytics vendors like Google Analytics and Adobe Analytics. There are product analytics vendors like Amplitude and Mixpanel. But what are the real differences between marketing and product analytics? Do organizations need different teams for each? Should organizations use both types of tools? Will one replace the other or will these disciplines converge?

Every analyst has their favorite analytics toolset. They may use many, or may only know one platform inside and out. In this panel we'll dive into the pros and cons of the biggest analytics platforms out there and have a healthy debate over where the future of the analytics industry will go.

Have you ever had stakeholders complain that they're not getting the glorious insights they expect from your analytics program? Have you ever had to deliver the news that the specific data they're looking for isn't actually available with the current platforms you have implemented? Have you ever wondered if things might just be a whole lot easier if you threw your current platform out the window and started over with a new one? If you answered "yes" to any of these questions, then this might be just the episode for you. Adam "Omniman" Greco -- a co-worker at Analytics Demystified of the Kiss sister who is not a co-host of this podcast -- joined the gang to chat about the perils of unmaintained analytics tools, the unpleasant taste of stale business requirements, and the human-based factors that can contribute to keeping a tool that should be jettisoned or jettisoning a tool that, objectively, should really be kept! For complete show notes, including links to items mentioned in this episode and a transcript of the show, visit the show page.