The value of any data lies, of course, in its use to make better decisions that lead to more favorable results – like increased revenue and profit, improved customer satisfaction, and increased safety. The Internet of Things is giving us a lot more data. The challenge is how to manage
This issue's preview is provided by Ralph Culver, Foresight's manuscript editor. Preview of Winter 2019 issue of Foresight The Winter 2019 issue of Foresight—number 52—kicks off with Simon Clarke’s enthusiastic review of The Little Illustrated) Book of Operational Forecasting by Dr. Steve Morlidge. Every year brings us new, inexperienced business-operations
Applying machine learning approaches to forecasting is an area of great research interest. Progress is being made on multiple fronts, for example: In the M4 Forecasting Competition, completed earlier this year, the top two performers utilized machine learning with traditional time series forecasting methods. At the link you'll find full
This Fall 2018 issue of Foresight, our 51st, opens with Fotios Petropoulos’s review of Paul Goodwin’s latest book, How to Profit from Your Software: A Best-Practice Guide for Sales Forecasters. Fotios notes that the author doesn’t single out any one software system, but keeps the discussion general and so applicable to many products.
Continuation of Q&A from the September 19, 2018 ASA web lecture "Why Are Forecasts So Wrong? What Management Must Know About Forecasting." Why Are Forecasts So Wrong? Q&A (Part 2) Q: Should we make a distinction between business as usual forecasts and major change forecasts and do FVA for these
Last week I had the pleasure of delivering a one hour web lecture for the American Statistical Association on "Why Are Forecasts So Wrong? What Management Must Know About Forecasting." I find it helpful (both for myself and the audience) to follow up with written responses to all questions submitted