The modern data stack (MDS) is the defining paradigm informing how new organizations use technology to leverage data. Lots of digital ink has been spilled, and takes are growing ever spicier on all things MDS. Here’s a more benign one:
The Modern Data Stack currently focuses too much on tooling and would be more effective if it refocused on the humans using the tools. In particular, the MDS ecosystem doesn’t currently address implementation,
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Since September 2021, Emilie has been working at Amplify Partners, an early-stage investment firm, where she is not involved in investment decisions. She has indicated Amplify portfolio companies referenced in
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Getting regular feedback from your organization can help the data team to prioritize the work that will have the biggest impact on your stakeholders. However, it’s hard to turn ad-hoc
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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
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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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