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Mike Gilliland 0
More on forecasting benchmarks

The Perils Revisited A few posts ago I warned of the perils of forecasting benchmarks, and why they should not be used to set your forecasting performance objectives: Can you trust the data? Is measurement consistent across the respondents? Is the comparison relevant? In addition to a general suspicion about

Rick Wicklin 0
The MOD function and negative values

When I studied math in school, I learned that the expression a (mod n) is always an integer between 0 and q – 1 for integer values of a and q. It's a nice convention, but SAS and many other computer languages allow the result to be negative if a (or q) is

Mike Gilliland 0
The jewels of forecasting at Analytics2012

Leaving Las Vegas Prince Harry, who recently gambled away a handful of the royal family jewels during a high-stakes billiards game, doesn't have to be the only person to leave Las Vegas with some important lessons learned. You can, too, by attending the Analytics2012 conference at Caesar's Palace, October 8-9. Learnings

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Top 3 things to know about data mining for forecasting

In the course of my job, I get to have a lot of conversations with authors about their books. One of the aspects of those conversations I enjoy most is learning about their areas of expertise and knowledge—that could be certain SAS software or programming techniques, particular fields of analytics,

Chris Hemedinger 0
I'm a WUSS and proud of it

When the Western Users of SAS Software gather in Long Beach, CA this September, I'll be proud to be counted among the WUSSers. (You can learn more about WUSS here; don't look here.) The WUSS organizers must have some serious clout, because the line-up of presenters reads like a "Who's

Rick Wicklin 0
How to get data values out of ODS graphics

Many SAS procedures can produce ODS statistical graphics as naturally as they produce tables. Did you know that it is possible to obtain the numbers underlying an ODS statistical graph? This post shows how. Suppose that a SAS procedure creates a graph that displays a curve and that you want

Mike Gilliland 0
The horticultural argument for SKU rationalization

Uncontrolled product proliferation can have bad consequences, and these are well recognized. There is certainly extra cost and complexity in managing more SKUs (rather than fewer SKUs). And it is unlikely that each new offering adds entirely incremental volume. Instead, the increased product overlap just leads to increased self-cannibalization. We

Rick Wicklin 0
Using macro loops for simulation

Last week I wrote an article in which I pointed out that many SAS programmers write a simulation in SAS by writing a macro loop. This approach is extremely inefficient, so I presented a more efficient technique. Not only is the macro loop approach slow, but there are other undesirable

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