CMAF FFT: What’s new in forecasting software? by Oliver Schaer
Channel: Lancaster CMAF
Date: 2020-10-19

This is the second webinar in the series of "Friday Forecasting Talks", hosted by Centre for Marketing Analytics and Forecasting of Lancaster University, UK.
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The abstract: Companies looking to obtain a new software solution often feel like in a candy store: There are lots of options, but the forecasting needs may well be quite specific, and the budget is typically constrained. In addition to new startups that supply very specific machine learning (ML) and artificial intelligence (AI) algorithms, established business intelligence software companies are adding more and more predictive time-series analysis tools to their product lines increasing the number of software solutions available. As a result, it is difficult to choose the most appropriate product to meet prospective users’ needs. This talk highlights insights from the latest biennial ORMS-Today forecasting software survey, led by the Centre for Marketing Analytics and Forecasting, on recent developments and future trends in this industry sector – supporting practitioners making their forecasting software purchase decision.

Oliver Schaer is a post-doctoral researcher at the University of Virginia Darden School of Business. His research interests are in the application of predictive analytics for the areas of business operations and marketing. More specifically, he is currently working on new product forecasting and incorporating user-generated content into demand forecasting models to improve decision-making. He is a visiting research fellow of the Centre for Marketing Analytics and Forecasting at Lancaster University.