If you aspire to be a data scientist, you’re really aspiring to be a data wrangler. You see, 80% of your working hours will be spent wrangling the data. That’s on average. On some projects, you will spend more than 100% of your “working” hours with your lasso. I hope you enjoy that sort of thing.
An analytics project is really three projects: a change management project stacked on top of a software development project stacked on top of a research project. So, how does one prevent the whole thing from collapsing under its own weight?
You’ve assembled a team and they’re ready to transform your organization into a data-driven decision-making juggernaut. But where should they start? How do you coordinate this team so they’ll actually be effective?