Study data-driven business intelligence challenges and tools such as data mining and machine learning techniques and apply data-driven intelligence to improve decisions and estimate the expected impact on performance.
Across industries, routine decisions and competitive strategies increasingly rely on data-driven business intelligence. Unprecedented volumes of rich data can now be analyzed to predict the consequences of alternative courses of action and guide decision-making. The urgency to utilize data-driven intelligence spans industries, and this class provides an introduction to data-driven business intelligence challenges and tools like data mining and machine-learning techniques.
Maytal Saar-Tsechansky, Ph.D., Associate Professor, Department of Information, Risk, and Operations Management
05/11/16 - 05/12/16
W 8:30 a.m. - Th 4:30 p.m.
AT&T Executive Education & Conference Center
1900 University Avenue
Austin, TX 78705