Customer Analytics At Scale With Segment

Mar 4, 2019

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Summary

Customer analytics is a problem domain that has given rise to its own industry. In order to gain a full understanding of what your users are doing and how best to serve them you may need to send data to multiple services, each with their own tracking code or APIs. To simplify this process and allow your non-engineering employees to gain access to the information they need to do their jobs Segment provides a single interface for capturing data and routing it to all of the places that you need it. In this interview Segment CTO and co-founder Calvin French-Owen explains how the company got started, how it manages to multiplex data streams from multiple sources to multiple destinations, and how it can simplify your work of gaining visibility into how your customers are engaging with your business.

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Your host is Tobias Macey and today I’m interviewing Calvin French-Owen about the data platform that Segment has built to handle multiplexing continuous streams of data from multiple sources to multiple destinations

Interview

Introduction
How did you get involved in the area of data management?
Can you start by explaining what Segment is and how the business got started?
- What are some of the primary ways that your customers are using the Segment platform?
- How have the capabilities and use cases of the Segment platform changed since it was first launched?
Layered on top of the data integration platform you have added the concepts of Protocols and Personas. Can you explain how each of those products fit into the overall structure of Segment and the driving force behind their design and use?
What are some of the best practices for structuring custom events in a way that they can be easily integrated with downstream platforms?
- How do you manage changes or errors in the events generated by the various sources that you support?
How is the Segment platform architected and how has that architecture evolved over the past few years?
What are some of the unique challenges that you face as a result of being a many-to-many event routing platform?
In addition to the various services that you integrate with for data delivery, you also support populating of data warehouses. What is involved in establishing and maintaining the schema and transformations for a customer?
What have been some of the most interesting, unexpected, and/or challenging lessons that you have learned while building and growing the technical and business aspects of Segment?
What are some of the features and improvements, both technical and business, that you have planned for the future?

Contact Info

LinkedIn
@calvinfo on Twitter
Website
calvinfo on GitHub

Parting Question

From your perspective, what is the biggest gap in the tooling or technology for data management today?