A recent EducationDIVE brief outlined the Data USA tool, an online data tool developed by Deloitte, Datawheel, and the MIT Media Lab with the goal “…to understand and visualize the critical issues facing the United States in areas like jobs, skills and education across industry and geography. And, to use this knowledge to inform decision making among executives, policymakers and citizens.”
from Digi*Pub…Conversations from LearnLaunch 2018: edTech Start-ups AdmitHub, Authess, and Choosito
Pressures to bring affordability and relevance to education are driving fascinating innovation within educational publishing, and these trends are made possible by developments in AI. How exactly does this technology underpin these important developments in education?
Zack Anderson, SVP and Chief Analytics Officer at EA (Electronic Arts), talks about how their CLV model shifted their data analytics and, by extension, the culture of the company. Its new customer-centric approach better supports its “Player First” mission. EA reduced marketing spend from 22% of revenue to less than 12% and enabled the company to develop its most successful game to date: Battlefield 1. In this episode, Anderson explains that calculating CLV isn’t the same as acting on it, and shares his four key points for actualizing your own transformation.
What is the difference between machine learning and artificial intelligence, and what does it mean for publishers and publishing? Publishing vet and software engineer Liza Daly arms us with definitions and takes us on a tour, showing us why this brave new world matters for publishers.
Small Multiples are one of my favorite design techniques for comparison…and one of the more difficult visualizations to do well. This post shares an expert example from The Wall Street Journal…notice the minimalist use of axis labels (left-most chart only) to reduce information clutter.
Author: Andy Kirk
This gem is part of a series highlighting the small design decisions that have a big impact on data visualization.