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As this year’s Wharton Startup Challenge gears up, Joseph Quan, WG’17, who with classmate Nikhil Srivastava co-founded last year’s Grand Prize winner Twine, shares a few tips after returning to Wharton for the People Analytics Conference.
One Year Later: Twine, Winner of the First Wharton Startup Challenge, Offers Advice to MBA Entrepreneurs
EMBA student Robert Chen, WG’19, an executive coach at Exec|Comm in New York City, highlights takeaways about leadership from Mary Barra, CEO of GM.
8 Insights on Leadership from GM CEO Mary Barra and the Wharton People Analytics Conference
WSII Fellow, Jonathan Wood, shares four lessons for urban planners based on his research with Wharton Statistics professors.
How to Use Big Data to Make Cities Safer
As the keynote speaker at the first annual M&T Summit, M&T alum Jeff Luhnow shared 4 steps he took to build a World Series-winning team and the crucial role big data played.
Astros GM Jeff Luhnow Explains How Data Analytics Helped Houston Win the World Series
Prof. Richard Waterman on how executive MBA students can use regression analysis and predictive analysis to transform business decision-making.
Statistics Professor on How Data Analytics Lead to Better Decisions – and How EMBA Students Can Implement Methodologies Right Away
Using analytics, Jerry Huang, WG’18, can increase access to fresh produce in his 99 Cents Only stores and reduce waste at the same time.
How This EMBA Student Is Using Data Analytics to Increase Access to Affordable Fruits and Vegetables
As part of One Wharton Week, professor of criminology and statistics Richard Berk told MBA students how analytics can produce biased results and how decision-makers can fix it.
How Machines Learn “Bias” and 9 Lessons on How Leaders Correct It
In just one month, the Wharton Customer Analytics Initiative delivered experiential learning opportunities to students and customized data solutions to businesses through the pilot Analytics Accelerator Challenge.
WCAI Analytics Accelerator Challenge Bridges the Gap Between Academia and Industry
M&T student Red Dimaano, W’18, E’18, on why he loves data science and how Prof. Pete Fader started him on a path into academic research.
How Data Science Led This Undergrad to Business Analytics
We have always been interested in more generally understanding underlying strengths — performance evaluation, talent evaluation, these are very general challenges in the world. They are far more applicable outside of sports.
Prof. Cade Massey Explains the Analytics Behind His NFL Rankings
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