The difficulty of building alerting workflows fit for scale
3

February 2023

What’s the right ratio of data roles in scaleups and why it should probably be higher than you think
4

November 2022

When to bring people from around the company into the data team and what to consider before doing it
3

September 2022

Why balancing managing a team, demanding stakeholders and still being hands-on is no easy task

August 2022

How a few data heroes make the wheels spin at high growth companies and why you can’t afford to lose them

July 2022

On the relationship between data team size and complexity
10

June 2022

Why managing your stakeholders is one of the most important (and overlooked) things an analyst can do
1

May 2022

How to do more of the work that matters and less of the work that don’t
4
Practical guidelines for how to measure quality, engagement and productivity in a data team
3

April 2022

Data tests are wonderful but hard to get right and creates a lot of overhead work for data teams
2
Embedded data teams are closer to business problems but ownership of what to do when data goes wrong is complicated
5

March 2022

What 4000 data points can tell us about the state of data salaries at top tech companies
4