For the last year or so I’ve been working on building a software application to help marketers allocate their marketing spend. This software is statistics and data-science powered and my partner and I have spent more hours than I’d like to admit struggling to squash bugs, achieve model convergence, and generally answer the question “why on earth could that be happening?”
In this post I’ll discuss the history of the lab book and how it’s used generally before discussing how to use
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During my time leading an analytics and data science team, I spent a lot of time thinking about how an ideal analytics team should operate
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The first data hires at an early stage startup face numerous challenges — an infrastructure built to run the business but not analyze it, an organization hungry for information without
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Agile software engineering practices have become the standard work management tool for modern software development teams. Are these techniques applicable to analytics, or is the nature of research prohibitively distinct
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This is part 2 of my 3 part exploration of the following question: are Agile engineering practices applicable to analytics, or is the nature of research prohibitively distinct from the
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Agile software engineering practices have become the standard work management tool for modern software development teams. Are these techniques applicable to analytics, or is the nature of research prohibitively distinct
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