In the first post of the “Practical Analysis” blog series, I suggested that numeracy will become an increasingly essential skill set in the 21st century, and that everyone, in one way or another, will become an analyst. But what does it actually mean to be analyst? There is no one answer. The possibilities range from someone who uses a working knowledge of analysis in their day-to-day work to hotshot data scientists at companies like Amazon and Google.
If you’re involved in any way with analyzing information, you undoubtedly are acquainted with the term “big data” by now. There is certainly a proliferation of electronic data becoming available in increasing abundance. But just because there’s more of it, is it really that much different from the data we’ve had right along? I’d argue that the basics are still very much the same but with the addition of both rich possibilities for finding meaning and daunting challenges for filtering out the noise.
In this blog series, which I’m calling Practical Analysis, I’ll explore the emerging role of the analyst in helping to answer some questions that I’ll discuss below and in building a body of knowledge to take advantage of the data deluge. Hopefully by the end, you’ll be completely jazzed about your future as an analyst!