Understanding analytics basics: The five essential elements for succeeding with data
and the costs of missing any / by Thomas C. Redman
Understanding the types of data and how they're captured
increase your data literacy / by Hugo Bowne-Anderson
The right way to deploy predictive analytics
focus first on your team, then on technology / by Eric Siegel
What great data analysts do
and why every organization needs them / by Cassie Kozyrkov
What data is and isn't good for
numbers rarely reveal the "why" / by Joel Shapiro
Becoming an analytics-driven organization: Prioritize which data skills your company needs
consider time versus utility / by Chris Littlewood
How a German manufacturing company set up its analytics lab
best practices any company can follow / by Niklas Goby, Tobias Brandt, and Dirk Neumann
Cloud computing is helping smaller, newer firms compete
renting computing power may level the playing field / by Nicholas Bloom and Nicola Pierri
Data science and the art of persuasion
solving data's last-mile problem / by Scott Berinato
Applying data analytics: How Vineyard Vines uses analytics to win over customers
by integrating behavioral data and predictive algorithms / by Dave Sutton
How to use employee data responsibly
three ways to maintain trust when using people analytics / by Ellyn Shook, Eva Sage-Gavin, and Susan Cantrell
What AI-driven decision making looks like
sometimes, humans need to get out of the way / by Eric Colson
How companies can use the data they collect to further the public good
and why they benefit from doing so / by Edward L. Glaeser, Hyunjin Kim, and Michael Luca.
