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Advanced Analytics

Rob PrattMarch 3, 2016 0

Solving a Golf Puzzle with Mixed Integer Linear Programming

Here's a golf puzzle from Sam Loyd: Everybody is playing golf now, and even the lazy ones who a few weeks ago declared how much pleasanter it was to swing in a shady hammock, have caught the golf fever and are chasing the ball around the golf links. I am

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Advanced Analytics | Analytics

Andreas BecksFebruary 12, 2016 0

BARC-Studie zeigt Schlüssel zur Wettbewerbsfähigkeit mit Analytics

Gerade lese ich mit großem Interesse die neue BARC-Studie "Advanced & Predictive Analytics 2016". Und ich bin sehr froh, dass der Nutzen von Analytics nahezu unbestritten ist. Egal, ob erfahrene "Best-in-Class"-Unternehmen oder analytische Nachzügler:

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Advanced Analytics | Analytics

Mike GillilandFebruary 11, 2016 0

Model interpretability in forecasting

"The Role of Model Interpretability in Data Science" is a recent post on Medium.com by Carl Anderson, Director of Data Science at the fashion eyeware company Warby Parker. Anderson argues that data scientists should be willing to make small sacrifices in model quality in order to deliver a model that

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Advanced Analytics | Customer Intelligence

Matthew Stainer

Matthew StainerFebruary 10, 2016 0

Voice of the customer analysis (Part 1)

This is the first of two articles looking at how to listen to what your customers are saying and act upon it – that is, how to understand the voice of the customer. Over the last few years, one of the big uses for SAS® Text Analytics has been to

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Advanced Analytics

Rob PrattFebruary 5, 2016 0

Detecting Anomalies in the NFL Schedule

Super Bowl 50 (L?) is this Sunday, so it's time for another (American) football-related post. Steven Miller, a mathematics professor at Rutgers University, recently noted that the 2015 NFL schedule allowed a competitive advantage for some teams (including the Carolina Panthers). This figure he generated displays the 2015 regular season

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Advanced Analytics

Rick WicklinFebruary 3, 2016 0

Rolling statistics in SAS/IML

Last week I showed how to use PROC EXPAND to compute moving averages and other rolling statistics in SAS. Unfortunately, PROC EXPAND is part of SAS/ETS software and not every SAS site has a license for SAS/ETS. For simple moving averages, you can write a DATA step program, as discussed

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Advanced Analytics | SAS Events

Jorge SilvaFebruary 2, 2016 0

Of Big Data Competitions, Sports Analytics, and the Internet of Bugs

It is said that everything is big in Texas, and that includes big data. During my recent trip to Austin I had the privilege of being a judge in the final round of the Texata Big Data World Championship, a fantastic example of big data competitions. It felt fitting that

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Advanced Analytics | Analytics

Mike GillilandFebruary 1, 2016 0

Guest blogger: Len Tashman previews Winter issue of Foresight

Editor Len Tashman's preview of the Winter 2016 issue of Foresight This 40th issue of Foresight begins with a review of the new book by Philip Tetlock and Dan Gardner with the enticing title Superforecasting: The Art and Science of Prediction. Reviewer Steve Morlidge explains that …the “superforecasters” of the

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Advanced Analytics

Rick WicklinJanuary 20, 2016 0

Banking to 45 degrees: Aspect ratios for time series plots

In SAS, the aspect ratio of a graph is the physical height of the graph divided by the physical width. Recently I demonstrated how to set the aspect ratio of graphs in SAS by using the ASPECT= option in PROC SGPLOT or by using the OVERLAYEQUATED statement in the Graph

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Advanced Analytics | Analytics

Mike GillilandJanuary 14, 2016 0

New book: Business Forecasting

Announcing New Book: Business Forecasting Just in time for the new year, Business Forecasting: Practical Problems and Solutions compiles the field's most important and thought provoking new literature into a single comprehensive reference for the business forecaster. So says the marketing literature. The real story? The book does pretty much

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Advanced Analytics

Rick WicklinJanuary 11, 2016 0

Twelve posts from 2015 that deserve a second look

I began 2016 by compiling a list of popular articles from my blog in 2015. This "People's Choice" list contains many interesting articles, but some of my personal favorites did not make the list. Today I present the "Editor's Choice" list of articles that deserve a second look. I've grouped

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Advanced Analytics | Machine Learning

Kenneth SanfordDecember 28, 2015 0

Decision tree learning: What economists should know

As an economist, I started at SAS with a disadvantage when it comes to predictive modeling. After all, like most economists, I was taught how to estimate marginal effects of various programs, or treatment effects, with non-experimental data. We use a variety of identification assumptions and quasi-experiments to make causal

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Advanced Analytics | Machine Learning | Students & Educators

Polly Mitchell-GuthrieDecember 22, 2015 0

The future of analytics – top 5 analytics predictions for 2016

My view of the world is shaped by where I stand, but from this spot the future of analytics for 2016 looks pretty exciting! Analytics has never been more needed or interesting. Machine learning established in the enterprise Machine learning dates back to at least 1950 but until recently has

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Advanced Analytics

Scott NalickDecember 17, 2015 0

Avoid bloating your supply chain

Over the course of my career as industrial engineer turned supply chain planning advocate I've had the opportunity to work hands-on with many manufacturing and supply chain planning solutions. This has included solutions offered commercially by the usual suspects of ERP and post-SCM consolidation supply chain solution providers. Most of these

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Advanced Analytics

Rob PrattDecember 14, 2015 0

Solving the British Spy Agency's Christmas Puzzle

The British spy agency GCHQ recently posted a grid-shading puzzle that the director sent out in his Christmas cards this year. The puzzle, shown here, is known as a nonogram and by various other names, including Paint by Numbers and FigurePic: Each cell is to be colored black or white,

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Advanced Analytics

Kenneth SanfordDecember 14, 2015 0

Vector autoregressive models for generating economic scenarios

Macroeconometrics is not dead: (and I wish I had paid better attention in my time series course): I wrote this on the way to see one of our manufacturing clients in Austin, Texas, anticipating a discussion how to use vector autoregressive models in process control. It is a typical use

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Advanced Analytics | Analytics

Mike GillilandDecember 11, 2015 0

Worst practices in forecasting conference (October 5-6, 2016)

In conjunction with the International Institute of Forecasters and the Institute for Advanced Analytics at North Carolina State University, the 2016 Foresight Practitioner conference will be held in Raleigh, NC (October 5-6, 2016) with the theme of: Worst Practices in Forecasting: Today's Mistakes to Tomorrow's Breakthroughs This is the first

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Advanced Analytics | Analytics

Mike GillilandDecember 10, 2015 0

Why forecasting is important (even if not highly accurate)

"Why forecasting is important" gets searched over 100 times monthly on Google. Search results include plenty of rah-rah articles touting the obvious benefits of an "accurate forecast," but are of little help in the real life business world where high levels of forecast accuracy are usually not achieved. This is

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Advanced Analytics | Analytics

Mike GillilandDecember 7, 2015 0

Know your forecastability (and maybe save your job)

Journal of Business Forecasting columnist Larry Lapide is a longtime favorite of mine. As an industry analyst at AMR, and more recently as an MIT Research Affiliate, Larry's quarterly column is a perpetual source of guidance for the practicing business forecaster. No wonder he received IBF's 2012 Lifetime Achievement in

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Advanced Analytics | Analytics

Mike GillilandDecember 4, 2015 0

FOBFD Greg Fishel makes headlines on climate change

WRAL Chief Meteorologist (and Friend Of the Business Forecasting Deal) Greg Fishel garnered national attention recently with a thoughtful (yet to some, provocative) blog post on climate change. In the post, Fishel chronicled his evolving thought on the subject. He argued for an end to the political partisanship that stifles

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Advanced Analytics | Machine Learning

Polly Mitchell-GuthrieDecember 4, 2015 0

Pattern recognition software - is it for the birds?

Can pattern recognition software tell us if it is a Hermit Thrush or a Swainson's Thrush we've seen? A few of us have been debating an identification question at work, because we agreed to help Fulbright Scholar and Duke University PhD student Natalia Ocampo-Peñuela with research she is doing related to bird collisions with windows. A sad

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Advanced Analytics

Rick WicklinNovember 25, 2015 0

Extracting elements from a matrix: rows, columns, submatrices, and indices

A matrix is a convenient way to store an array of numbers. However, often you need to extract certain elements from a matrix. The SAS/IML language supports two ways to extract elements: by using subscripts or by using indices. Use subscripts when you are extracting a rectangular portion of a

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Advanced Analytics | Data for Good | Students & Educators

Nadja YoungNovember 10, 2015 0

Highly effective teacher, coach and his student, athlete

This post shares the story of a teacher and coach, and a student-athlete who was the first in his family to graduate college, attend graduate school, and aspires to become a Mathematics professor. It's the first entry in a blog series that will highlight some tremendous educators with whom I’ve

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Education | Government

Advanced Analytics | Machine Learning

Patrick HallNovember 6, 2015 0

6 machine learning resources for getting started

If you turned in for my recent webinar, Machine Learning: Principles and Practice, you may have heard me talking about some of my favorite machine learning resources, including recent white papers and some classic studies. As I mentioned in the webinar, machine learning is not new. SAS has been pursuing

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Advanced Analytics

Rick WicklinNovember 2, 2015 0

Can't find that data? Search all variables in all data sets

Sometimes I can't remember where I put things. If I lose my glasses or garden tools, I am out of luck. But when I can't remember where I put some data, I have SAS to help me find it. When I can remember the name of the data set, my

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Advanced Analytics

Rob PrattOctober 30, 2015 0

SAS-Related Talks at the INFORMS 2015 Annual Meeting

The INFORMS 2015 Annual Meeting will be held in Philadelphia November 1-4. More than two dozen SAS staff will participate, and SAS will have three adjacent booths representing SAS/OR (and all of Advanced Analytics), JMP, and the SAS Global Academic Program. SAS is well-represented among the presentations at this meeting,

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Advanced Analytics | Analytics

Mike GillilandOctober 26, 2015 0

Highlights from IBF Orlando

Last week I had the pleasure of attending (with six of my SAS colleagues) the IBF's Best Practices Forecasting Conference in Orlando. Some of the highlights: Charlie Chase and I were interviewed by Russell Goodman of SupplyChainBrain.com. The videos will be posted on SCB's website later this year. Meantime, enjoy

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Advanced Analytics

Funda GüneşOctober 26, 2015 0

Principal Component Analysis for Dimensionality Reduction

When you work with big data, you often deal with both a large number of observations and a large number of features. When the number of features is large, they can be highly correlated, resulting in significant amount of redundancy in the data. Principal component analysis can be a very

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Advanced Analytics

Rick WicklinOctober 26, 2015 0

Exact tests in PROC FREQ: What, when, and how

Did you know that the FREQ procedure in SAS can compute exact p-values for more than 20 statistical tests and statistics that are associated with contingency table? Mamma mia! That's a veritable smorgasbord of options! Some of the tests are specifically for one-way tables or 2 x 2 tables, but many apply

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Advanced Analytics | Learn SAS | SAS Events | Students & Educators

Polly Mitchell-GuthrieOctober 23, 2015 0

Data science training - is it possible?

Ok, so the title is a little provocative, but some people are dubious that data science training is even possible, because they believe data science entails skills one can learn only on the job and not in a classroom. I am not in that camp, although I do believe that data

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