C-suite leaders should recognize that this age demands a new strategic quarterback
Algorithms have paved the way for better business, but keeping the technology in check could prove an ongoing conundrum.
A group of alumni apply research by Wharton professors Peter Fader and Eric Bradlow to bring data science to investing.
The source of Uber’s and Airbnb’s success is their use of business analytics. What lessons can all business leaders learn from their example?
What does big data mean for privacy? Companies leveraging data now have targets on their backs. Analytics expert Michael Housman explains how to handle this.
The world’s top organizations know to supplement gut instinct about people with analytics. Such as Wharton.
Business analytics is not for the faint of heart. That didn’t stop 40 Penn students. We spotlight their efforts at the Wharton Data Visualization Hackathon.
Writer and analyst Ian Cooper explains the emergence of the superfan in professional sports management, and why “data don’t apply themselves” in sports.
A Wharton-fueled San Francisco company is using big data to tell your story (and a terrorist’s story) to the government and for-profit and nonprofit organizations.
A call for more organizations to conduct calculated experiments with their analytics, despite the apparent short-term risks.
Even in a world of relentless analysis and analytics, hockey remains subject to natural laws—and is better off for it.
Big data algorithms ignore gender, race, age, and reduce the "like-me" bias from recruiters; this improves the employer hiring process as a result.
A former professional hockey agent and current analytics pro and columnist glides into the Wharton Blog Network.
How can companies leverage all of the data and metrics generated from their technologies for marketing and operations, if they're not Disney.
Students see the big profits and rewards of applying customer analytics through the example of Caesars.
The promise of big data in providing value to our health care system lies in delivering the right data at the right time to the right person.