Here are a few examples. Banking & Financial Services The financial industry, with huge amounts of data and money at stake, has long embraced predictive analytics to detect and reduce fraud, measure credit risk, maximize cross-sell/up-sell opportunities and retain valuable customers. Commonwealth ...
Any industry can use predictive analytics to reduce risks, optimize operations and increase revenue. Here are a few examples. Banking & Financial Services The financial industry, with huge amounts of data and money at stake, has long embraced predictive analytics to detect and reduce fraud, measur...
Healthcare, Pharmacy, Telecom etc. Any professionals or students with little or no programming experience can learn SAS, as it’s easy to learn and also over the years SAS has added numerous solutions in big data analytics, Predictive analytics, Fraud management, Health science analytics...
This paper will focus on the new features in Enterprise Miner 5.3 with analytical examples. MIGRATION Before we can start data mining, we have to consider platforms and migration. Enterprise Miner 5.3 runs on SAS 9.1.3 Service Pack 4. Installation requires updates to the SAS Foundation, the ...
10 ways analytics can make your city smarterFrom child welfare to transportation, read 10 examples of analytics being used to solve problems or simplify tasks for government organizations. Risk data infrastructure: Staying afloat on the regulatory floodWhat are the challenges of a risk data infrastruc...
Many people still use SPSS and I hope IBM invests enough to make it a morecompetitive product for social science researchers. I'm concerned that theirprimary interest may be in the predictive analytics applications formarketing researchers, but I hope this is a mistaken concern. ...
Example code and materials that illustrate techniques for integrating SAS with popular open source analytics technologies like Python and R. See individual subdirectories for specific examples and instructions. Contributors include: Patrick Hall, Radhikha Myneni, Ruiwen Zhang, and Tim Haley ...
SAS/STAT 15.1 User's GuideSAS/STAT High-Performance Examples SAS/STAT 15.1 User's GuideSAS/STAT High-Performance Example Programs (Sample Library) Related Documentation Base SAS 9.4 Procedures Guide: Statistical Procedures, Sixth Edition Base SAS 9.4 Procedures Guide: High-Performance Procedures, Sixth...
The value of predictive analytics depends on finding good models, so model selection is paramount. SAS/STAT model building took a step forward some years ago with the introduction of the GLMSELECT procedure for linear models selection. PROC GLMSELECT provides modern methods such as LARS and LASSO,...
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