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
…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
…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
…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
…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
…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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