On Carts and Horses and Why Your Quant Doesn’t Get It

See on Scoop.itData Nerd’s Corner

I’ve been thinking a lot lately about the tension between science and commerce—particularly the tension between data science and commerce. For most of my career, I’ve been on the seller’s side of t…

Carla Gentry CSPO‘s insight:

For my data science colleagues, then, I offer some solutions to keep you sane.

I had to realize that planning a software project meant planning for what you could do as well as what you’ve been asked to do. I was dragged into the Agile methodology with much kicking, screaming, and biting, but I got there and I think its value is much higher in data science and big data projects. Getting the product into the hands of the people who use it gave us information early on about what  our customers would want it to do—and reduced our “October surprises” by quite a bit.

See on melindathielbar.wordpress.com

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