This guest blog post comes from Dr. David Dickey, one of our original SAS Press authors. Hope you enjoy! In the late 1970s, shortly after SAS was founded, I was approached by Herbert Kirk and John Brocklebank from SAS to put together a course on time series. This was reasonably
Tag: forecasting
In October I will be at the Analytics 2015 conference in Las Vegas. I’ve never been to Las Vegas before. People tell me that if you are better than average in forecasting where a small ball will end up after it’s been spinning for a while in a dish with
Charlie Chase is considered an expert in sales forecasting, market response modeling, econometrics and supply chain management. Now he's sharing some of his expertise in his Business Knowledge Series (BKS) course, Best Practices in Demand-Driven Forecasting. I had the chance to ask him some questions about his course and the
SAS UK & Ireland recently ran a competition to find the region's 'top data scientist'; the competition challenge was to produce a forecast of energy demand for the UK in the year 2020 based on the data provided. Competition for this coveted award was fierce; with the winner claiming a trip to SAS
David Corliss of Ford Motor Co. is currently writing a book about clustering methods in time series analysis. I caught up with him at the Analytics 2014 conference in Las Vegas last month (where he was also presenting on this topic) to talk about these methods and why he decided
Giovanni Monopoli is the Strategic Analysis and Financial Planning Manager within the Finance Department at QVC Italy. Next month, he’ll be presenting at the Analytics 2014 conference in Frankfurt, Germany about how the broadcast channel uses analytics – specifically SAS Forecast Studio. With live broadcasts 17 hours a day, QVC
Someone once boiled down econometrics for me by explaining -- it’s all about answering the “why.” It’s especially important for companies wanting to know the answers to important questions like… Why are customers buying this product? Why are customers not buying my product? If you’re ready to start investigating the
This week's SAS tip is from Applied Data Mining for Forecasting Using SAS by Tim Rey, Arthur Kordon, and Chip Wells. Whether you're a forecasting practitioner, engineer, statistician, or economist, you'll appreciate the many real-world examples in the book. And hopefully this free excerpt. The following excerpt is from SAS Press
The farther you try to forecast into the future, the less certain you are -- how can you represent that graphically? One way is to draw a shaded/colored "confidence interval" around your forecast line, but this is something a lot of SAS users have trouble with. That's why I decided to create
Reacting to the demand in the rapidly changing environment of an emergency department can be a major challenge. Frequent mismatches between patient need and the health care professionals available to provide that care can result in significant human and financial costs. Analytics 2013 Orlando presenters, Kevin Armstrong of Vanderbilt University