From 2019-2022, I was the data product manager of the business intelligence team at Unite, a sizeable European B2B procurement platform, where I guided our transformation from a “service team” to a “product team.” We went from implementing long lists of dashboards and reports for sales, customer services, and management to turning analytics inside the company upside down. When I left, we had just finished implementing a multi-year vision for the future of the company’s data platform.
We
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Data analysts wear a lot of hats, and the first ones to join a team may wear some extra ones. In doing so, they’ll have soaked up a
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Over the years I have had the opportunity to work for various companies, and no two onboarding experiences have been the same. In the data world, onboarding can become challenging
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The modern data stack (MDS) is the defining paradigm informing how new organizations use technology to leverage data. Lots of digital ink has
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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
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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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