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Stefan Hauck 0
Blogparade: SAS sucht den Data Scientist

Die Data Science und die Nachfrage nach entsprechenden Experten hat gewaltig Fahrt aufgenommen. Aber bei näherer Betrachtung zeigt sich, dass es fast ebenso viele unterschiedliche Ausprägungen des Begriffs gibt, wie offene Stellen zu besetzen sind. Das zeigt unter anderem der Persönlichkeitstest, den wir gemeinsam mit einem englischen Psychologenteam entwickelt haben. Wir laden daher

Cindy Puryear 0
SAS author’s tip: A “most common” macro error

This week’s author tip is from Robert Virgile and his book SAS Macro Language Magic: Discovering Advanced Techniques.  Virgile chose this tip because even good programmer’s make errors. We hope you find this tip useful. You can also read an excerpt from Virgile’s book. Even good programmers make errors.  In

Stuart Rose 0
Insurance and the rise of the Chief Risk Officer

The role of insurance is to bring some predictability, manageability and stability to a chaotic and uncertain world.  In essence, it is a risk mitigation tool. The role of the Chief Risk Officer (CRO) is to manage the overall risk strategy for the insurance company. They are responsible for defining

Analytics | Data for Good | Data Visualization
Robert Allison 0
How to make infectious diseases look better

The Wall Street Journal recently published some graphs about seven infectious diseases, and I tried using SAS to improve the graphs ... it's a veritable infectious disease (graph) bake-off! Let's start with Measles ... here's a screen-capture of WSJ's measles graph: In general, their graph is eye-catching, and I learned a lot

Craig Rubendall 0
Big data meets open standards

Imagine choosing one application for Linux that worked on the version you currently use. You choose another program but find that it doesn’t work on that version of Linux. A third application? It works with another version of Linux. Luckily, that rarely happens. In 2001, the Linux Foundation established Linux Standard

Advanced Analytics | Analytics
Mike Gilliland 0
Brilliant forecasting article from 1957!!! (Part 2)

Combining Statistical Analysis with Subjective Judgment (continued) After summarily dismissing regression analysis and correlation analysis as panaceas for the business forecasting problem, Lorie turns next to "salesmen's forecasts."* He first echoes the assumption that we still hear today: This technique of sales forecasting has much to commend it. It is based

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