Good medicine

Common ailments for a data team

  • No source control for SQL

  • Making changes directly in prod

  • Thinking "another index will fix the performance"

  • Relying on the business to tell you about data quality issues

  • Assuming the issue is with your tech stack

  • Letting the business drive the vision for the data solutions

  • Letting the data team drive the vision for the data solutions

  • Treating data modeling as a luxury

  • Adding another tool cuz everyone on Linkedin is talking about it

  • Stuck in a cycle of building ad hoc and one-off reports.

  • 3D pie charts

Every week I talk with customers about their data problems and these are just a few of the items that come up.

These aren’t terminal symptoms. They are often more about the culture of the team and org than technology.

Hiring technically skilled staff won’t solve this. Hiring a technical data consultant won’t fix this.

Building a data culture around delivering business value is good medicine. It relieves most of these symptoms.

And if you ever need help identifying symptoms, finding the medicine, or administering the medicine

I’m here,

Sawyer

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The right conditions

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A few assumptions