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Gerhard Svolba 0
Top 3 benefits of writing a SAS book

Many colleagues and customers at SAS Global Forum ask me, why I write books beside having a full-time job as SAS consultant and being lecturer at universities. Valid question. SUSTAINABILITY. I have been working in so many analysis projects in different domains and industries. Some of them were longer, others were

Data Visualization
Sanjay Matange 0
Report from SGF 2015

SGF 2015 was a blast with a focus on Visual Analytics, SAS Studio, Hadoop and more.  Graphs were everywhere, and it was a banner year for ODS Graphics with over 15 papers and presentations by users on creating graphs using SG Procedures, GTL and Designer. Dan Heath, Prashant Hebbar, Scott

Sian Roberts 0
SAS Books is heading to PharmaSUG

I’m headed to Orlando, May 17- 20, for the annual PharmaSUG conference. PharmaSUG is the Pharmaceutical Industry SAS Users Group, consisting of professionals worldwide in the pharmaceutical and healthcare industries who use SAS software in their work. I will be at the SAS Publications booth in the demo room and

Stuart Rose 0
Putting predictive analytics to work.

Insurance relies on the ability to predict future claims or loss exposure based on historical information and experience. However, insurers face an uncertain future due to spiraling operational costs, escalating regulatory pressures, increasing competition and greater customer expectations. More than ever, insurance companies need to optimize their business processes. But

Data Management
Jim Harris 0
Analyzing the data lake

In my previous post I used junk drawers as an example of the downside of including more data in our analytics just in case it helps us discover more insights only to end up with more flotsam than findings. In this post I want to float some thoughts about a two-word concept

Advanced Analytics
Emily Lada 0
Simulate to validate

The primary objective of many discrete-event simulation projects is system investigation.  Output data from the simulation model are used to better understand the operation of the system (whether that system is real or theoretical), as well as to conduct various "what-if"-type analyses.   However, I recently worked on another model

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