Chapters
Transcript
Episode notes
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24
Introduction
00:00 • 2min
Building Data Cultures
02:17 • 2min
How Did You Get to Chief Analyst at Mode?
04:02 • 5min
Data Translators - What's the Core of What Data Is?
08:59 • 2min
What's Your Back Story?
11:02 • 4min
Is That a Good Idea?
15:29 • 2min
What I Love About This Data Story
17:43 • 2min
Why Do People Not Want to Be Tracked?
20:09 • 4min
The Value of Analytics for the End User
24:18 • 2min
The Most Common Ways That Your Analytics Break
26:15 • 3min
The Importance of Data Design in Analytics
29:06 • 2min
Data Tooling - The Big Data Shift?
31:29 • 5min
What Is an Analytics Engineer?
36:37 • 5min
What Should the Early Data Team Look Like?
42:05 • 3min
Redshift - The First Thing You Should Do in 20 Minutes or Less?
45:22 • 2min
What's Your Org Structure?
47:46 • 3min
Is There a Bedside Attitude for Analysts?
50:38 • 3min
Getting Analysts to Work With Product Teams to Stay in the Look on the Future?
53:14 • 4min
Is It an Analyst or a Data Engineer?
57:08 • 2min
Building Data Trust in Product Development
59:04 • 5min
Data Literacy
01:03:44 • 2min
The Root Problem With Self-Serve Analytics
01:05:24 • 3min
What Do You Wish More People Knew About Data and Product?
01:07:59 • 3min
The Right Track - Part Two
01:10:50 • 2min