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Welcome to part three of our deep dive into the "Retail Sales: Hobby, Toy, and Game Stores" dataset from the U.S. Census Bureau via FRED®, covering January 1992 through September 2025. With the help of AI-powered data analytics, it's been a joy to transform columns of sales figures into real stories about innovation, resilience, and the enduring magic of play. Let's uncover what the data reveals about how toys have evolved and adapted in the years since 1997.
Welcome back to our holiday deep dive into the world of toys, powered by real data. In part one we uncovered how steady growth and classic favorites shaped the toy industry from 1992 to 1995 using insights from the "Retail Sales: Hobby, Toy, and Game Stores" dataset from the U.S. Census Bureau via FRED®.
Do you remember the feeling of circling your favorite toys in a holiday catalog? For many of us, the early 1990s were filled with these simple joys. As I started exploring the "Retail Sales: Hobby, Toy, and Game Stores" data from the U.S. Census Bureau via FRED®, covering 1992 all the way through September 2025, I felt that same excitement...and discovered a story hiding in the numbers.
As business owners, we're no strangers to questions. Big, important, business-defining questions. Questions like, "What's driving my sales this quarter?" or "How do my social media efforts impact sign-ups?" These aren't just curiosities... they're the kind of questions that can shape the future of your business. But let's be honest: finding the answers can feel like trying to solve a puzzle with pieces scattered across a dozen different rooms.
Discover how AI data analytics tools are changing business. Learn 6 key benefits, from getting instant answers to automating reports and uncovering opportunities.
Querri now unifies connectors, automation, and conversational intelligence so teams can transform messy data into executive-ready dashboards without leaving the platform.
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The AI everyone talks about isn't always the one your business needs. ChatGPT transformed how we think about asking questions, but when you're asking questions about your own business data, accuracy and accountability matter more than creativity. That's where Querri shines.
The conversation around artificial intelligence is everywhere, and if you're a data analyst, it's likely hitting close to home. You might be seeing headlines or hearing whispers in virtual meetings about how AI will automate everything, making your role obsolete. It's a valid concern, especially when you're already managing a high workload and feeling under-appreciated. Let's cut through the noise and have a real conversation about what AI means for the future of data analysis.
When we built Querri, our mission was simple: make data analysis accessible to everyone — not just analysts and engineers. But along the way, something powerful happened. We realized Querri doesn't just empower non-analysts; it makes data analysts themselves faster, more effective, and more trusted by their stakeholders.
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