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How Can GenAI Make Analytics More Accessible to Product Teams? (with Mario Ciabarra)

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Manage episode 464935382 series 2936621
Content provided by Hannah Clark - The Product Manager. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Hannah Clark - The Product Manager or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://ppacc.player.fm/legal.

Whether you prefer the term data-driven, or data-informed, or data-dazzled, it doesn't matter—today's tech cannot survive without high quality data sets AND the tools to use them effectively. But we also can't afford to think about data as the responsibility of just one or two departments in the organization—instead, we need to be going into 2025 with a mindset of data democratization. In other words, our business is our customers, so what our customers are saying should be everyone's business.

My guest today is Mario Ciabarra, Founder and CEO of Quantum Metric. Quantum is a Gen-AI powered analytics platform that allows companies to interpret data into useful insights for different stakeholders so that everyone—from the first day product designer to the company founder—can bake empathy for customers into every decision. We discussed how this works in practice, considerations around data hygiene, and some predictions on how Gen-AI will drive the evolution of analytics this year and beyond.

Resources from this episode:

  continue reading

Chapters

1. How Can GenAI Make Analytics More Accessible to Product Teams? (with Mario Ciabarra) (00:00:00)

2. Meet Mario Ciabarra (00:01:05)

3. The Importance of Empathy in Analytics (00:02:00)

4. Generative AI: Transforming Product Analytics (00:04:06)

5. Real-World Applications of Gen-AI in Analytics (00:05:41)

6. The Role of Gen-AI in Product Management & Customer Experience (00:09:14)

7. Using Gen-AI and Data for Better Product Decisions (00:13:54)

8. Democratizing Data for Better Decision-Making (00:17:27)

9. The Role of Data Hygiene in Effective Analytics (00:22:23)

10. Future Trends in Product and Experience Analytics (00:24:41)

88 episodes

Artwork
iconShare
 
Manage episode 464935382 series 2936621
Content provided by Hannah Clark - The Product Manager. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Hannah Clark - The Product Manager or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://ppacc.player.fm/legal.

Whether you prefer the term data-driven, or data-informed, or data-dazzled, it doesn't matter—today's tech cannot survive without high quality data sets AND the tools to use them effectively. But we also can't afford to think about data as the responsibility of just one or two departments in the organization—instead, we need to be going into 2025 with a mindset of data democratization. In other words, our business is our customers, so what our customers are saying should be everyone's business.

My guest today is Mario Ciabarra, Founder and CEO of Quantum Metric. Quantum is a Gen-AI powered analytics platform that allows companies to interpret data into useful insights for different stakeholders so that everyone—from the first day product designer to the company founder—can bake empathy for customers into every decision. We discussed how this works in practice, considerations around data hygiene, and some predictions on how Gen-AI will drive the evolution of analytics this year and beyond.

Resources from this episode:

  continue reading

Chapters

1. How Can GenAI Make Analytics More Accessible to Product Teams? (with Mario Ciabarra) (00:00:00)

2. Meet Mario Ciabarra (00:01:05)

3. The Importance of Empathy in Analytics (00:02:00)

4. Generative AI: Transforming Product Analytics (00:04:06)

5. Real-World Applications of Gen-AI in Analytics (00:05:41)

6. The Role of Gen-AI in Product Management & Customer Experience (00:09:14)

7. Using Gen-AI and Data for Better Product Decisions (00:13:54)

8. Democratizing Data for Better Decision-Making (00:17:27)

9. The Role of Data Hygiene in Effective Analytics (00:22:23)

10. Future Trends in Product and Experience Analytics (00:24:41)

88 episodes

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