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March 1, 2022
How Gig Workers Push Back Against Their “Digital Boss”
Instead of having managers, these workers are beholden to customer reviews. The relationship is rocky.
Hatim Rahman and Lindsey Cameron
December 9, 2021
Do People Really Understand Your Data Visualizations?
Many data viz gurus advocate for decluttering graphs and focusing on specific info. Do those techniques actually help your audience?
Kiran Ajani, Elsie Lee, Cindy Xiong, Cole Nussbaumer Knaflic, William Kemper and Steven Franconeri
November 5, 2021
4 Phases of Analytics Evolution: From Spreadsheets to AI Workbenches
What lies ahead for business leaders looking to incorporate data analytics?
Joel K. Shapiro
September 15, 2021
See an Exciting Trend in That Chart? Proceed with Caution.
Some data-visualization techniques lead us to assume causality where it doesn’t exist.
Cindy Xiong, Joel K. Shapiro, Jessica Hullman and Steven Franconeri
August 19, 2021
3 Ways AI Can Help You Improve Diversity
Your company already holds the data that can lead to sustainable change.
Brian Uzzi
August 2, 2021
Gig Workers Are Increasingly Rated by Opaque Algorithms. It’s Making Them Paranoid.
These systems can create an “invisible cage” for freelancers.
Hatim Rahman
March 29, 2021
So Your Company Isn’t Getting the Most out of Analytics and AI. Here’s What to Do.
These tools have the possibility to transform your business. If you know how to harness them.
Eric T. Anderson
November 4, 2020
Video: How Bias Creeps into AI when Businesses Aren’t Looking
A quick explainer on what happens if you aren’t thoughtful about the data you use.
Adam Pah
August 4, 2020
How AI Can Help Weed Out Faulty Scientific Research
Solid science is more important than ever, yet experts often struggle to predict which studies will replicate. Artificial intelligence could do the job better.
Yang Yang, Wu Youyou and Brian Uzzi
December 2, 2019
How Companies Can Mine Online Reviews for Product-Development Gold
The right techniques can uncover valuable insights in user-generated content.
Artem Timoshenko
April 1, 2019
To Improve Customer Experience, Embrace the Outliers in Your Data
Don’t ignore them. Let them highlight your biggest failures and juiciest opportunities.
Joel K. Shapiro
March 4, 2019
How to Build Artificial Intelligence that Everyone Can Trust
Experts from IBM Watson and Kellogg discuss how to remove bias and increase transparency in machine-learning algorithms.
Florian Zettelmeyer and Inhi Cho Suh
December 5, 2018
What Google Is Teaching Economists About Unemployment Insurance
Search data can tell policymakers whether extending unemployment benefits delays job-seeking.
Scott R. Baker and Andrey Fradkin
September 10, 2018
How Can Social Science Become More Solutions-Oriented?
A conversation between researchers at Kellogg and Microsoft explores how behavioral science can best be applied.
Noshir Contractor and Duncan Watts
April 3, 2018
Take 5: A Guide to Getting Started and Succeeding with Data Analytics
Kellogg faculty offer advice for business leaders to improve their analytics strategies.
Florian Zettelmeyer, Eric T. Anderson, Thomas O'Toole and Steven Franconeri
April 3, 2018
What Might Be Missing from Your Analytics Strategy
Quantitative data is not enough to solve your trickiest problems.
David Schonthal and Joel K. Shapiro
January 5, 2018
How a Good Analytics Strategy Can Become the Victim of Its Own Success
The best firms “purposely mess stuff up” to get the data they need to grow.
Eric T. Anderson and Florian Zettelmeyer
September 6, 2017
Want to Improve Your Sales Forecast? Check Your Company’s Facebook Feed.
Social media data can help predict consumer demand.
Ruomeng Cui, Santiago Gallino, Antonio Moreno-Garcia and Dennis J. Zhang
September 1, 2017
To Get the Most from Data Analytics, Reward Intellectual Curiosity Across Your Company
Don’t relegate big data to sales and marketing. Let it permeate the culture.
Thomas O'Toole
April 14, 2017
Using Cell Phone Data to Predict the Next Epidemic
Whom you call is linked to where you travel, which dictates how viruses spread.
Pierre Deville, Chaoming Song, Nathan Eagle, Vincent D. Blondel, Albert-László Barabási and Dashun Wang
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