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- Indexed issues, last 90 days
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- Sep 10, 2026
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9 out of 10 data professionals make the same mistakes (opens the original)
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This week I’m handing the newsletter over to someone whose thinking has shaped how I approach my own work.I met through networking, and what started as a conversation turned into an ongoing exchange about data, value, and everything in between. I later took his course, ROI of Data & AI, and it changed how I look at data initiatives: less “what can we build?” and more “what is this actually worth, and to whom?” It gave me practical techniques and playbooks for tying data w
Hey! Where is the money? (opens the original)
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Every company asks one question more often than any other, and it isn’t a clever one. How much money are we making?I’ve been working on a data analytics agent, the kind where you type a question in plain English and it writes the SQL and hands you a number. When I started I assumed the interesting problems would be the fancy questions. Retention cohorts, attribution, joins across five sources. They aren’t. The question I keep coming back to is the most boring one anybody asks:<p class="cta-capti
Inside the Data Interview: Slawomir Tulski (ex-Meta Data Engineering Manager) (opens the original)
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Who is Slawomir Tulski?Nowadays, I’m an independent data & analytics consultant. I help mid-size organizations with their high-stakes data-related matters when their internal capability, for whatever reason, is not sufficient. Think non-technical leadership that can’t confidently assess where they stand, an expensive platform with fuzzy ROI, a data strategy nobody’s sure about, delivery that keeps slipping, or an assessment on whether the architecture will hold.Before that, I spent more than a d
Don't be a YES data person (opens the original)
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Every data team I’ve been part of receives ad-hoc requests from other teams, that has always been the case and I believe this is always going to be the case moving forward. Ad-hoc requests move you from planned work to unplanned work, there are legit reasons when that makes sense, unexpected things come up all the time, the problem comes when those ad-hoc requests are not valuable at all or when you have more of them that you can handle at any given point in time.I’ve been in data teams where th
Inside the Data Interview: Eric Tucker (Head of Data & Analytics at GLDN) (opens the original)
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Who is Eric Tucker?I’m new-ish to leading a formal data function but not new to data in general and definitely not new to hiring. I’ve spent most of my career in startups. First, in biotech, I spent 6 years in San Diego helping grow a diagnostics company from 5 to 120 employees, then building my own experiential marketing and scenic design business in Oregon to 30 people. I spent the past 5 years co-leading a tech consulting company in Seattle, and most recently have led the data transformation
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