The University of Maryland’s Robert H. Smith School of Business is launching a nine-month, fully online certificate program designed for technical and non-technical professionals interested in leveraging data to draw insights and drive smarter decision-making for their organization.
When it comes to investing, predicting stock return volatility is the name of the game. Traditional methods rely on stochastic models, but more recent models have turned to text-mining techniques. Now, research from Maryland Smith is taking those new methods even further.
Ford set its sights on overtaking Tesla in the electric car market when it announced in May its competitive $40,000 price point for the new F-150 Lightning electric pickup. Scanning consumer sentiment and determining whether it succeeded in winning over popular opinion is typically a difficult process. But new research from Maryland Smith found a way.
Deloitte hosted seven faculty affiliates of the Smith Analytics Consortium for a meeting of the minds on Jan. 31, 2019, at the company’s Greenhouse in Washington, D.C.
SMITH BRAIN TRUST — Company pages on social media sites like Facebook contain real-time information for brand managers hoping to gauge customer sentiment, but only if they know how to make sense of the raw data. New research from the University of Maryland’s Robert H. Smith School of Business shows how to filter for bias, starting with a three-pronged test to identify and remove fake users.