We publish a lot of books by SAS experts at SAS Press, but how does someone become an expert in the first place? Becoming certified is one step, but who develops the certifications in the first place? Those are the true experts. They have to have a deep understanding of
Please join us on Tuesday, March 16 for what should be an exciting discussion on the current challenges and emerging best practices in demand forecasting. I'll be moderating this very distinguished panel: Nicolas Vandeput - supply chain data scientist, specialized in demand forecasting and inventory optimization; author of the book
“I do not like this modern technology,” said my father-in-law. “It is making people too lazy. Things are too easy now.” He was referring to my grocery order. I was sitting in his kitchen in Reykjavik, Iceland, the day before my return to the United States. I had just explained
In an IoT world, everything is connected. But what does it mean to be connected? Does it mean being plugged in to your phone, car, home, TV, favorite apps and retailers? Does it mean knowing what’s happening all around you? And having the “things” you’re connected to acting as recommender
Kim Kaluba describes how a customer data strategy can help you achieve an omnichannel vision.
Government organizations are seeking new and innovative ways to use an abundance of data – both internally for government operations and externally to provide the public with greater access to information. This intersection of open and internal government data is the topic of a Route Fifty webinar taking place on
On Thursday, October 30, 11 am ET, Aris Syntetos delivers the next installment of the Foresight/SAS Webinar Series, "Forecasting by Temporal Aggregation." Based on his article in the Summer 2014 issue of Foresight, Aris provided this preview: When we attempt to improve forecast performance we usually consider new or alternative forecasting
Several weeks ago, I led a SAS Talks webinar on SAS/ETS emphasizing the many recent changes to the software. SAS/ETS, for those unfamiliar with the product, is SAS’s suite of econometrics, time series and forecasting tools and algorithms. While we covered a substantial amount of material in the talk, there
If an organization is spending time and money to have a forecasting process, is it not reasonable to expect the process to make the forecast more accurate and less biased (or at least not make it any worse!)? But how would we ever know what the process is accomplishing? To
