Ep. #9, The Argument for Less Specialization with Erik Bernhardsson of Modal Labs

1

Introduction

00:00 • 2min

2

Building a Data Team and Data Culture

01:54 • 2min

3

The Long Story or the Short Story?

03:40 • 3min

4

What's Next for Uber for Dog Walking?

06:44 • 4min

5

What Are You Going to Sacrifice Instead?

10:57 • 2min

6

The Best on the Spot Answer to a Very Difficult Question

12:35 • 3min

7

What's the Difference Between Cohort Analysis and Product Analytics?

15:29 • 2min

8

Survival Analysis - It's Not Like Death, but Its Time to Conversion

17:04 • 4min

9

The Like Magic of Spotify

21:30 • 2min

10

Is the Data Warehouse Really a Data Warehouse?

23:43 • 6min

11

Scaling Up Product and Engineering?

29:31 • 4min

12

Is There a Data Leader in Between?

33:31 • 2min

13

Building a Data Team

35:39 • 2min

14

Hiring Data Engineers

37:40 • 3min

15

Are You Okay With Working on Boring Things?

41:06 • 2min

16

What's the Story Behind PTSD?

42:40 • 2min

17

Data Engineers - What's the Right Level of Specialization?

44:44 • 5min

18

Is There a Need for Less Specialization?

49:51 • 3min

19

Are There Any Heart Takes About Titles in the Data Space?

53:12 • 3min

20

The Role Data Scientist in a Software Company?

55:57 • 2min

21

Product Analytics Data Sets - Are They Ever Changing?

57:46 • 2min

22

Is There a Culture of Incentives?

01:00:09 • 5min

23

Is There a Misconception About Data and Product Analytics?

01:05:08 • 2min

24

Data Work Is More Impactful Than Complicated Things

01:06:49 • 5min