Jessica Lachs
American data leader, VP of Analytics and Data Science at DoorDash, who writes the newsletter The Data Room on building analytics teams.
Jessica Lachs did not write this page.
We collected these quotes from things they published elsewhere, and every quote links to where it was said. They have no account here and have not endorsed this site. Quotes are word for word; the short line under each one is our own restatement, not their wording. Their own site. Is this you? Claim it or ask us to remove it. Or tell us what is wrong here.
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Their wordsMost unexpected business questions do not need to become Data Science projects.
↗BizOps: The Secret Weapon of a Scaling Companyblog.jesslachs.com
- 13 days earlier
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Their wordsStart with the problem. Let that define the role. Worry about the title later.
↗Start With the Problem, Not the Titleblog.jesslachs.com 1st of 4 in this piece
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Their wordsThis is where I think organizations often specialize too early.
↗Start With the Problem, Not the Titleblog.jesslachs.com 2nd of 4 in this piece
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Their wordsAt this stage, I would generally bias toward one senior, hands-on generalist.
↗Start With the Problem, Not the Titleblog.jesslachs.com 3rd of 4 in this piece
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Their wordsAI may allow this stage to last longer than it used to.
↗Start With the Problem, Not the Titleblog.jesslachs.com 4th of 4 in this piece
- 3 weeks earlier
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Their wordsThe higher the consequence of the decision, the higher the bar for analytical expertise and rigor.
↗When Everyone Can Analyze Data, Who Owns the Answer?blog.jesslachs.com 1st of 4 in this piece
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Their wordsAI makes that especially important because it can make weak analysis look polished and authoritative.
↗When Everyone Can Analyze Data, Who Owns the Answer?blog.jesslachs.com 2nd of 4 in this piece
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Our reading
Teams that self-serve analysis with AI must own its quality; "AI got it wrong" is no excuse.
Their wordsSelf-service analysis must distribute capability and accountability together. “AI got it wrong” cannot become a substitute for human ownership.
↗When Everyone Can Analyze Data, Who Owns the Answer?blog.jesslachs.com 3rd of 4 in this piece
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Our reading
Making the analytics team review everything other teams produce with AI is the wrong response.
Their wordsThere is an obvious but wrong response to these risks: require Analytics to review or troubleshoot everything produced elsewhere.
↗When Everyone Can Analyze Data, Who Owns the Answer?blog.jesslachs.com 4th of 4 in this piece