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Episode 152:

3 Steps To Enhance Product Analytics

August 23, 2023

This week on The Data Stack Show, Eric and Kostas chat with Ken Fine, the CEO at Heap. During the conversation, the group discusses the unique auto track capabilities offered by Heap in the product analytics space. They also delve into Ken’s background, including his experience working on submarines and his transition to technology and startups. Ken explains the three elements of Heap’s solution framework, which include data capture, data science capabilities, and providing qualitative context. The conversation also covers the challenges faced by Heap in collecting and managing large volumes of data, their strategy and positioning in the market, the future of the data industry, integrating quantitative and qualitative data in product management and more.

Notes:

Highlights from this week’s conversation include:

  • Ken’s background and journey to Heap (2:32)
  • Heap’s problem-solving approach (8:19)
  • Auto-capture and its significance in the marketplace (13:03)
  • Providing qualitative context: sessions and surveys (16:23)
  • Collection and storage of data (25:42) 
  • Challenges of real-time data collection (26:40)
  • The true gap in the market today (37:39)
  • Consolidation and aggregation of data solutions (41:58)
  • Simplifying the datastack (47:32)
  • A different approach in engineering and software development (51:12)
  • Skills and Stages in Company Growth (55:58)
  • Final thoughts and takeaways (1:02:52)

 

The Data Stack Show is a weekly podcast powered by RudderStack, the CDP for developers. Each week we’ll talk to data engineers, analysts, and data scientists about their experience around building and maintaining data infrastructure, delivering data and data products, and driving better outcomes across their businesses with data.

RudderStack helps businesses make the most out of their customer data while ensuring data privacy and security. To learn more about RudderStack visit rudderstack.com.

About the Podcast

Each week we’ll talk to data engineers, analysts, and data scientists about their experience around building and maintaining data infrastructure, delivering data and data products, and driving better outcomes across their businesses with data.

To keep up to date with our future episodes, subscribe to our podcast on Apple, Spotify, Google, or the player of your choice.

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