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 📊.

The hottest Substack posts of Inside Data by Mikkel Dengsøe

And their main takeaways
24 implied HN points 13 Feb 25
  1. Your data team size should be about 1-5% of your total company staff. Fintech companies usually have a higher percentage of data roles.
  2. The mix of different data roles is important. Having too many analysts can slow things down, while too many engineers might not deliver useful insights.
  3. Data salaries in Europe vary by experience. For example, a junior data role typically pays about $70k, while senior roles can reach $110k or more.
16 implied HN points 16 Jan 25
  1. Start by clearly defining how you will use data. This helps set the purpose for your data products.
  2. It's important to have clear ownership of data and understand what needs testing. This makes accountability easier.
  3. Continuously monitor and improve your data quality. Regular reviews help catch issues early and keep trust in your data.
49 implied HN points 18 Nov 24
  1. Data teams are overwhelmed by too many alerts from test failures. This leads to important issues being overlooked.
  2. It's crucial to focus on the right tests that have significant business impact rather than just mechanical tests. This means deeper insights into the data are needed.
  3. Sharing the responsibility for data quality across teams can improve the situation. When everyone understands their role, issues are resolved faster.
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41 implied HN points 23 Mar 23
  1. Data alerting workflows face challenges with larger data teams
  2. Combining criticality, ownership, and issue resolution in alerts can improve the experience
  3. Alerting workflows become more complex with alerts arriving from different tools and in various formats