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Using Data To Illuminate The Intentionally Opaque Insurance Industry

Using Data To Illuminate The Intentionally Opaque Insurance Industry

FromData Engineering Podcast


Using Data To Illuminate The Intentionally Opaque Insurance Industry

FromData Engineering Podcast

ratings:
Length:
52 minutes
Released:
Oct 8, 2023
Format:
Podcast episode

Description

Summary
The insurance industry is notoriously opaque and hard to navigate. Max Cho found that fact frustrating enough that he decided to build a business of making policy selection more navigable. In this episode he shares his journey of data collection and analysis and the challenges of automating an intentionally manual industry.
Announcements
Hello and welcome to the Data Engineering Podcast, the show about modern data management
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Your host is Tobias Macey and today I'm interviewing Max Cho about the wild world of insurance companies and the challenges of collecting quality data for this opaque industry
Interview
Introduction
How did you get involved in the area of data management?
Can you describe what CoverageCat is and the story behind it?
What are the different sources of data that you work with?
What are the most challenging aspects of collecting that data?
Can you describe the formats and characteristics (3 Vs) of that data?
What are some of the ways that the operational model of insurance companies have contributed to its opacity as an industry from a data perspective?
Can you describe how you have architected your data platform?
How have the design and goals changed since you first started working on it?
What are you optimizing for in your selection and implementation process?
What are the sh
Released:
Oct 8, 2023
Format:
Podcast episode

Titles in the series (100)

Weekly deep dives on data management with the engineers and entrepreneurs who are shaping the industry