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 feedback into action. A recurring survey about the work of the data team can provide insight into quiet successes, pain points, or areas of confusion, and over time enables you to measure improvements against a baseline trend. Whether your team is in the early stages of building tools and infrastructure
…Tag: Process
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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A Culture of Partnership
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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