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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Many Data Scientists come from a hard science background – statistics, math, physics. Hard sciences have a bias towards empirical and objective truths: a correct answer exists and we can
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Data warehouses are not just for business intelligence (BI) anymore. You can maximize the value of your data engineering, data science, and analytics work by investing in building out a
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I love doing reporting. Well I don’t actually love doing reporting, but I love what it can do for an Analytics team. If executed well, reporting can be the gateway
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The fastest way to doom an Analytics team (and any hope of building a data-driven organization) is to present data and analyses that are often flawed or inconsistent. When people
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Attribution is a tough challenge that is top of mind for every Marketing and Analytics leader. While marketing strategies and technologies may have evolved, the most important question has not
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People often ask for advice about building out an analytics organization – How to structure the team? What skills to hire for? Do we need engineers? What about data scientists?
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