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Business Analytics/Project Management/Information Security |
Demystifying Business Analytics and Data Science Dr. Dursun Delen — William S. Spears Chair in Business Administration, Patterson Family Endowed Chair in Business Analytics, Director of Research for the Center for Health Systems Innovation, and Regents Professor of Management Science and Information Systems in the Spears School of Business at Oklahoma State University Business intelligence, business analytics, data science, and applied machine learning are popular buzzwords used to highlight the importance of data-driven, evidence-based, optimal managerial decision-making. The ultimate goal for these recent trends is to enable managers with the insight they need to make smarter, faster business decisions. As we all know, the traditional notion of learning from mistakes no longer applies; the reality nowadays is the one-strike-and- you’re-out rule. Surviving the current business environment requires absolute precision in the way the managers recognize problems and opportunities and calculate and implement the most optimal decisions in a timely manner. Organizations that use business analytics not only can survive but often thrive in this type of complex business environment. Business analytics (once considered as an advanced/optional ability) is now a commodity—a must-have organizational capability. With business analytics, firms can use data to understand what happened, foresee what will happen, and implement what should happen. It is the current gold standard for business management.
The objective of this seminar is to demystify these popular managerial concepts, build a foundational knowledge of their capabilities, and provide real-world examples and application cases for ease of understanding and internalization.
At the end of this seminar, participants will: • Have a clear understanding and appreciation of the capabilities of business analytics/data science, • Differentiate between descriptive, predictive, and prescriptive analytics, • Know the popular methods and tools used for data visualization and prediction modeling, • Develop intuitive business analytics models in popular tools like Excel, SAS, and KNIME, • Become a smarter consumer of business analytics and data science.
This seminar is sponsored by the Management Science and Information Systems and the Center for the Future of Work in the Spears School of Business at Oklahoma State University.
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The Center for the Future of Work in the OSU Spears School of Business offers various certificate programs and customized professional development.
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