Big Data’s Value the Focus at Haas School of Business Event: MBA News

By Tim Dhoul Updated Dec 04, 2019

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Introduction
Real-world applications the focus of big data conference

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A three-day big data conference gets underway today at Berkeley’s Haas School of Business.

In the first of what is to be an annual event, 200 industry professionals in the fields of big data and data science, as well as Haas School of Business faculty and students, are expected to come together to discuss how big data can be used to create business value across a number of industries, with an emphasis on marketing, retail and finance.

DataLead 2014 is the product of a collaboration between the one-year Master of Financial Engineering (MFE) program at Haas School of Business and ENSAE ParisTech (Université Paris-Saclay) – where the second installment of the big data conference will be held.

“DataLead is part of our exploration of how business schools like Haas are going to fulfill the need for data sciences in marketing, retail, and finance. This conference marks the beginning of an international conversation on the application of big data in business,” Hass School of Business’ Linda Kreitzman, explained in a press release announcing the big data conference.

Real-world applications the focus of big data conference

Speakers from Google and Morgan Stanley as well as Amazon’s former chief scientist, now a lecturer at Haas School of Business and Stanford, will headline DataLead 2014, which will operate under daily themes.

Today, the big data conference will concentrate on understanding its uses in the worlds of banking, mortgage modeling and financial trading, with marketing and education/travel themes to follow over the subsequent two days.

In so doing, Haas School of Business and its ENSAE ParisTech partners hope DataLead can bridge a gap in treating big data as a true economic commodity and outlining how large data sets can be used to generate business value.

Companies are still greatly in need of graduates with this kind of expertise, as Kreitzman surmises:

“We have a need for people who know big data and that means more math, more computer science, and the ability to process all of the information businesses are taking in today.”

Learn more about the opportunities for MBAs in big data.

Written by

Tim Dhoul

Tim is a writer with a background in consumer journalism and charity communications. He trained as a journalist in the UK and holds degrees in history (BA) and Latin American studies (MA).