Chapters
Transcript
Episode notes
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20
Introduction
00:00 • 4min
The Shift to Getting Work Done on Your Phone
04:10 • 5min
Can I Check in Early?
08:49 • 2min
Do You Have an on-Demand Database?
10:59 • 2min
Is There a Better Interface?
13:10 • 2min
Optimizing the Experience With Google Analytics
15:17 • 3min
The Challenges of Natural Language in Voice Querying
18:00 • 2min
Is There Any Killer Use Case Today?
19:52 • 3min
Is There a Limitation of the Possible?
22:50 • 4min
Is It a Lot of Work to Build an Analytics Dashboard?
26:39 • 4min
The Key to Building a Really Good Product?
30:35 • 2min
The Startup Data Stack - What's the Difference?
32:40 • 5min
The Most Successful Data Products Are Simple, Right?
37:14 • 4min
How Does Running an AB Testing Tool Impact Revenue?
41:08 • 5min
BigQuery Is Going to Be More Obsolete
45:56 • 2min
Is There a Data Warehouse?
48:18 • 2min
Is There a Need for Analytics?
50:19 • 3min
How to Make a Video Ad for a CTO
52:56 • 2min
Is Zingdada the Next Big Thing?
55:02 • 2min
Data Driven NYC - Matt Turks
57:15 • 3min