Abstract:
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Statisticians are an essential part of making informed and valuable decisions. We can even be leaders in our group's research or business, if we do it the right way. Unfortunately, our work does not always make as big an impact as it could, and it's often because of the uncertainty in purpose, requirements, direction, and scope. This is especially true now, with Big Data getting people even more excited, but sometimes without a clear reason. By following project management best practices, whether we're the PM or not, we can become more reliable, effective, and influential in our work. You are invited to come to this roundtable to discuss your experiences and training in managing analytic projects. What works? What doesn't? How is project management different for Big Data and small data? How can you bring in project management best practices, even if you're not the project manager?
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