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Data Visualization
Sanjay Matange 0
The HIGHLOW Plot

SG Procedures and GTL provide you with a large set of plot statements, such as BarChart, ScatterPlot, BoxPlot and more.  You can use them for the intended purpose, and all is well and good.  However, the real fun starts when you leverage a plot to do something that was not

Advanced Analytics
Michael Thomas 0
Big data in your face

If you've followed technology news in the last few weeks, you've probably seen a proliferation of awestruck faces wearing blacked out goggles, similar to the image I'm using here. The goggles are Oculus Rift immersive VR headsets, and the news is the $2 billion dollar acquisition of Oculus by Facebook.

Data Management
Aiman Zeid 0
No one route to analytics success

I led an analytical culture track at the SAS Global Forum Executive Conference last month in Washington, DC. I talked with leaders in fields as diverse as healthcare, chemical manufacturing and government. Although these organizations have very different operating models, their challenges, comments and questions were similar. They all recognized

Data Management
Sam Munoz 0
Series: BCBS 239 - Principle 4

Principle 4: Completeness – A bank should be able to capture and aggregate all material risk data across the banking group. Data should be available by business line, legal entity, asset type, industry, region and other groupings, as relevant for the risk in question, that permit identifying and reporting risk

Data Visualization
Sanjay Matange 0
Multi-Group Series Plots

The series plot is a popular way to visualize response data over a continuous axis like date with a group variable like treatment.   Here is some data I made up of a response value by date, treatment, classification and company that makes the drug.  The data is simulated as shown in the attached program

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