Why managing your stakeholders is one of the most important (and overlooked) things an analyst can do
5
1
How to do more of the work that matters and less of the work that don’t
17
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
Why I think the data warehouse will become the control centre for modern companies
10
2
Why European companies have larger data teams, US companies have larger engineering teams and analytics companies are not that analytical.
4
3
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Inside Data by Mikkel Dengsøe