No risk, no reward. Kyle Kirwan, co-founder and CEO of BigEye, helps companies manage risk more intelligently through the power of data quality. In this interview, Kyle describes his experience as one of the first data scientists and analysts at Uber, weighs the pros and cons of build versus buy, and defines the modern data stack – with an eye to what’s next. 

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“We're living in this Renaissance era when it comes to data tools.” - Kyle Kirwan

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Time Stamps

* (0:00) What Monopoly teaches us about data

* (3:00) Data’s role at Uber

* (7:29) Building vs. Buying

* (12:14) The current and future landscape of data tools

* (17:58) Getting the right people involved

* (20:20) Creating a data culture

* (28:48) Insights into the modern data stack

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Sponsor

This podcast is presented by Alation.

Learn more:

* Data Radicals: https://www.alation.com/podcast/

* Alation’s LinkedIn Profile: https://www.linkedin.com/company/alation/

* Satyen’s LinkedIn Profile: https://www.linkedin.com/in/ssangani/

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Links

Connect with Kyle on LinkedIn

Check out Bigeye

Seven Principles for Reliable Data Pipelines by Kyle Kirwan

Register for the Data Reliability Engineering Conference

Data Discovery in 2020 by Kyle Kirwan