An important goal of our Win Vector LLC teaching offerings is to instill in engineers some familiarity with, and empathy for, how data is likely to be used for analytics and business. Having such engineers in your organization greatly increases the quality of the data later available to your analysts and data scientists. This in turn expands what is possible in prediction and forecasting, which can lead to significant revenue opportunities.
Suppose you are purchasing data on movie attendance in your region; data for both past attendance, and future projected attendance. In particular, you are concerned about planning for popcorn sales at the The Roxie movie house.
(NOTE: While the Roxie is an actual movie theater, please note that we are using synthetic attendance numbers, for the purposes of this example.)
Photo by Simon Durkin – originally posted to Flickr as Roxie Theatre – Mission SF, CC BY-SA 2.0, Link The attendance data purports to align the published movie schedules with projected attendance, and looks like the following: