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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In the past few years, much has been written about problems like discoverability, observability, data quality, and the need for data teams to become more “engineering oriented” in their mindset.
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Not enough effort has been made to understand the people using data products, what they want to get done, and the broader context in which they operate. I believe there
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Proactively sharing data insights broadly with the people in our organizations encourages engagement and collaboration, brings additional visibility to the data team, and provides a way to work in partnership
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Your team invested a lot of effort into building self-service data tools, but your stakeholders aren’t using it as much as you hoped, or in the ways that you hoped.
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Data teams aim to help the people in their organization make better decisions. Many data teams aren’t doing this as well as they could and are missing out on a
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In part 2 of this series, we learned that every new initiative a team undertakes should be accompanied by an expectation on how the initiative will perform. For example,
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The MBR meeting is the focal point of the MBR program. Here you will publicly interrogate KPIs, align on action items and hold people accountable. There are typically
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