Inside Data by Mikkel Dengsøe

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How to identify your business-critical data
Practical steps to identifying business-critical data models and dashboards and drive confidence in your data
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Mikkel Dengsøe
April 2023
Data and product team size relative to engineers
What the number of data and product people relative to engineers can tell us about how top tech scaleups operate
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Mikkel Dengsøe
March 2023
Data alerts are hard
The difficulty of building alerting workflows fit for scale
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Mikkel Dengsøe
4
February 2023
Data team as % of workforce: A deep dive into 100 tech scaleups
What’s the right ratio of data roles in scaleups and why it should probably be higher than you think
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Mikkel Dengsøe
4
November 2022
The important purple people outside the data team
When to bring people from around the company into the data team and what to consider before doing it
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Mikkel Dengsøe
3
September 2022
The Difficult Life of the Data Lead
Why balancing managing a team, demanding stakeholders and still being hands-on is no easy task
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Mikkel Dengsøe
August 2022
The unsung data heroes
How a few data heroes make the wheels spin at high growth companies and why you can’t afford to lose them
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Mikkel Dengsøe
July 2022
Data teams are getting larger, faster
On the relationship between data team size and complexity
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Mikkel Dengsøe
10
June 2022
Stakeholders: The most important relationship for analysts
Why managing your stakeholders is one of the most important (and overlooked) things an analyst can do
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Mikkel Dengsøe
1
May 2022
How should analysts spend their time
How to do more of the work that matters and less of the work that don’t
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Mikkel Dengsøe
4
How to measure data quality
Practical guidelines for how to measure quality, engagement and productivity in a data team
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Mikkel Dengsøe
3
April 2022
Data tests and the broken windows theory
Data tests are wonderful but hard to get right and creates a lot of overhead work for data teams
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Mikkel Dengsøe
2
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