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
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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
Data alerts are hard
The difficulty of building alerting workflows fit for scale
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Mikkel Dengsøe
4
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
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
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
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
Data teams are getting larger, faster
On the relationship between data team size and complexity
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Mikkel Dengsøe
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Inside Data by Mikkel Dengsøe
Inside Data by Mikkel Dengsøe
A regular column with ideas, observations, inspiration and frustrations in and around the data industry. Especially relevant for data practitioners 📊.

Inside Data by Mikkel Dengsøe

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