In 1931, an Indian mathematician and librarian named S. R. Ranganathan published The Five Laws of Library Science. In the preceding century, libraries had undergone what he characterized as a revolution. Before then, librarians had effectively been tasked with protecting books from all but the most privileged readers–medieval texts were literally chained to the shelves. But the rise of democracy, alongside advancements in technology that
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A successful data practitioner has a visible impact on their organization. They may shape meaningful tactical and strategic decisions, build products that drive growth, or design experiments that shed light
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Providing clarity and structure around expectations empowers your team members to decide what skills and competencies to focus on improving. However, writing the career ladder is only the beginning of
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After last week, I hope you’re on board that a career ladder is important, so let’s jump right into creating one that works for your team. This post will walk
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If you’re lucky, you know what it will take to get your next promotion. Maybe you need to work on communicating your analyses at the C-level instead of primarily to
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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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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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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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