Our reading notes

Building a data team at a mid-stage startup: a short story

An explicitly fictional company story about a data team whose impressive models compete with basic unanswered business questions.

The idea to take with you

Start by making decisions answerable and data dependable before equating a data strategy with model building.

What to look for

  1. 01

    Find the operational questions people cannot answer today.

  2. 02

    Identify manual data flows and inconsistent definitions.

  3. 03

    Connect specialist work to an owner who can put the result into use.

Keep in mind

The author calls it a parable, not a measured case study. It illustrates organizational failure modes rather than proving their frequency.

Put it to work

Try this next

Ask three departments for a decision they delayed because data was missing. Trace one answer back to its source systems and definitions.

Get the data template

Notes and exercises by Awesome CTO. The original work belongs to Erik Bernhardsson.

Work through the bigger question.

Our data guide connects the reading to a practical approach and a template.

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