Common Forecasting Methods and The Mindset Behind Forecasting
Friday 20 October 2023, 2:00pm to 3:00pm
Venue
Microsoft TeamsOpen to
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Event Details
Webinar - Title: Common Forecasting Methods and The Mindset Behind Forecasting
Abstract:
Forecasting is both an art and a science, involving the prediction of future events through established statistical methods rooted in empirical data, rather than relying on a mystical crystal ball. As data availability grows and our understanding of forecasting methods deepens, the impact of forecasts on decision-making intensifies. A diverse range of phenomena, spanning from retail industry and financial markets to election outcomes and global health supply chain operations, can be subject to predictive analysis. This webinar focuses on forecasting demand for products or services and aims to bring you up to speed with minimal pain, prepare you to learn more, enabling meaningful conversations about forecasting with peers.
Speakers
Cardiff Business School
Bahman is a Reader (Associate Professor) in Data-Driven Decision Science at Cardiff Business School, Cardiff University, UK. He serves as the director of the Data Lab for Social Good Research Group at Cardiff University and is also the inaugural Chair of the Forecasting for Social Good committee within the International Institute of Forecasters. Bahman specialises in the development and application of forecasting and management science tools and techniques. His focus lies in leveraging these met
Wisconsin School of Business
Enno is a Professor of Wisconsin School of Business. His research currently focuses on augmented reality in manufacturing, as well as AI-human interaction. He was the principal investigator on a grant for the Food and Drug Administration. Siemsen has published in leading outlets such as Management Science, Organization Science, Journal of Operations Management, Production & Operations Management, Strategic Management Journal and Manufacturing & Service Operations Management. His work has also be
SAP Switzerland AG
Stephan is a Data Science Expert at SAP Switzerland AG and an Honorary Researcher at the Centre for Marketing Analytics and Forecasting at Lancaster University Management School. His main interests are forecasting in the retail sector for replenishment and other processes, as well as more general supply chain forecasting and quality measurement for forecasting in general. In 2023, Stephan was elected as a Fellow of the International Institute of Forecasting.
Contact Details
| Name | Teresa Aldren |
| Website |
https://www.linkedin.com/events/commonforecastingmethodsandthem7114540928681287680/about/ |