How a few data heroes make the wheels spin at high growth companies and why you can’t afford to lose them
12
On the relationship between data team size and complexity
14
10
Why managing your stakeholders is one of the most important (and overlooked) things an analyst can do
6
1
How to do more of the work that matters and less of the work that don’t
18
4
Practical guidelines for how to measure quality, engagement and productivity in a data team
15
2
Data tests are wonderful but hard to get right and creates a lot of overhead work for data teams
8
2
Embedded data teams are closer to business problems but ownership of what to do when data goes wrong is complicated
12
5
What 4000 data points can tell us about the state of data salaries at top tech companies
10
4
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Inside Data by Mikkel Dengsøe