Forecast demand and revenue with time series analysis
Demand forecasting is critical to the success of a company. It drives the decision-making from supply chain management to marketing campaigns. In this webinar, we discuss time series elements including trend, seasonality, and random parts. We explain how to design, implement, and validate a demand forecasting model in Excel. We also present how you can level up your analysis with Axcel AI by running advanced decomposition and time series models such as autoregressive integrated moving average (ARIMA) and visualize the results with a single function in Excel.
Speaker: Ali Marami, Ph.D is currently Vice President, Model Risk Management in a financial institution in San Francisco and data science/ infrastructure advisor at Axcel Inc. He has more than 10 years experience in developing and validation of machine learning models. He received a Ph.D. in Finance from the University of Neuchatel in Switzerland and B.Sc. in Electrical Engineering from Tehran Polytechnic.