Mit der automatisierten Datenfluss-Engine von Domo wurden Hunderte von Stunden manueller Prozesse bei der Vorhersage der Zuschauerzahlen von Spielen eingespart.
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Kendall Ruber
Data Scientist for Yum! Brands
As a data scientist for Yum! Brands—the world’s largest restaurant company—Kendall Ruber integrates data science principles into the corporation’s restaurant operations practices and uses statistical modeling techniques and BI tools such as Domo to deliver insights across the enterprise. A resident of Chicago, she previously lived in Louisville, Ky., where she worked as a data analyst for LG&E and KU Energy after earning multiple degrees from the University of Louisville.
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