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Mike Gilliland 0
Process Control Methods in Business Forecasting

While fancy new forecasting models will always be of interest to researchers, there is plenty of really interesting and practical new work being led by forecasting practitioners. Last month Steve Morlidge (who spent 30 years at Unilever, now with CatchBull), shared his promising new approach on the “Avoidability of Forecast

Data Visualization
Sanjay Matange 0
Graphs at WUSS - Part 2

Last week I covered some of the interesting graph-related papers presented at WUSS.  There were quite a few, so I broke up the report into two parts.  Here is the second installment. In the paper  Creating Graphical Patient Profiles using SAS by William Garner of Gilead Sciences, the author describes how to create

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Understanding analytics: the bird’s eye view

Our blog editor extraordinaire Shelly Goodin brings you tips and information on technical content from our books that you can use immediately in your work. But what if you’re not there yet? What if you want to start with a 50,000-foot level view of analytics overall? Or learn how forecasting

Jim Harris 0
Behavioral data quality

For decades, data quality experts have been telling us poor quality is bad for our data, bad for our decisions, bad for our business and just plain all around bad, bad, bad – did I already mention it’s bad? So why does poor data quality continue to exist and persist?

Rick Wicklin 0
Visualize a matrix in SAS by using a discrete heat map

A heat map is a graphical representation of a matrix that uses colors to represent values in the matrix cells. Heat maps often reveal the structure of a matrix. There are three common applications of visualizing matrices with heat maps: Visualizing a correlation or covariance matrix reveals relationships between variables.

Thomas Wende 0
Oh Du fröhliche ...

Liebe Blog-Leser, schon sind wir wieder mitten drin in dieser so besinnlichen, feierlichen und staden Vorweihnachtszeit, wo die meisten Menschen vor lauter Hektik nicht wissen, wo ihnen der Kopf steht. Jahresabschlüsse sind zu machen, Geschenke noch zu besorgen. Die Menschen um einen herum sind gereizt – und nach ehrlicher Selbstbeobachtung

David Loshin 0
Behavior engineering

Instituting an analytics program in which actionable insight is delivered to a business consumer will be successful if those consumers are aware of what they need to do to improve their processes and reap the benefits. As we have explored over the past few posts, success in the use of

David Loshin 0
Data governance and big data

The data quality and data governance community has a somewhat disconcerting habit to want to append the word “quality” to every phrase that has the word “data” in it. So it is no surprise that the growing use of the phrase “big data” has been duly followed by claims of

Phil Simon 0
On LeBron, big data and investing

"Big data isn't useful for investment purposes." So said my friend Walt during one of our recent arguments discussions. By way of background, Walt is not an über-successful 70-year-old investor who earned his chops well before the advents of Twitter, Facebook and their ilk. Rather, he's a man of a similar age to

Mike Gilliland 0
Guest Blogger: Len Tashman previews Fall 2013 issue of Foresight

  Forecasting Support Systems (FSS) – essentially, decision support systems for forecasters – are being given increasing scrutiny in forecasting circles, including our recent half-dozen articles in Foresight. Additionally this year, there has been a special issue of the International Journal of Forecasting focused on the topic. Keith Ord and

Thomas Keil 0
Reden wir von Übermorgen: Der BITKOM Trendkongress 2013

Am 13.11. fand in Berlin zum zweiten Mal der Trendkongress des Verbandes der deutschen IT- und Telekommunikationsindustrie BITKOM statt. Fast 900 Gäste folgten dem Ruf in die trendige "STATION" in Berlin - und natürlich kann ein solches Event heutzutage nicht ohne Big Data auskommen. Doch vielleicht wurde hier wirklich ein

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