Many organizations have begun to recognize the benefit of using analytics to support decision-making. At least in the abstract. But how to get the capability is not so clear. 

Imagine your analytics dream team. Who would you hire, and what would their roles be?

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.

How many times has this happened to you: You get to the end of a gruelling analytics project and the decision maker doesn't listen?

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?

A look at the many many steps involved in creating the Breathing City animation of Manhattan's flow of people at work and at home.

Interactivity can provide whole new perspectives, facilitate more comparisons, and encourage exploration and discovery. See what stories are revealed in our new interactive NHL visualization.

A few lines presenting some cursory dashboard design principles.