Science is way more important than Data

Photo by Rohan Makhecha on Unsplash
  • Step 1: Form a hypothesis.
  • Step 2: Do an experiment to test your hypothesis.
  • Step 3: Measure the results.
  • Step 4: Make a cardboard poster.”
    Excerpt From “Harry Potter and the Methods of Rationality” Eliezer Yudkowsky
  • By discussing the Hypothesis with the business (product owner) early you can agree on what is the common problem you are trying to solve and align data science work with business needs.
  • By designing the experiment upfront, preferably together with the business (product owner) you can agree on measurements that disprove your hypothesis first — fail fast.
  • Then you can agree that measurements would be taken in a legal, compliant and ethical way and you can proceed to make and derive insight (and make cardboard posters using modern visualisation techniques).
  • If you skip those steps and start with data (garbage collection), how would you know that data are useful, legal, compliant, ethical and insight generated have some form of value for the business?

Recap

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I am a systems thinker with a deep understanding of technology and a methodological approach to innovation

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Alex Mikhalev

Alex Mikhalev

I am a systems thinker with a deep understanding of technology and a methodological approach to innovation

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