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Title Date Added Company

Deployment for SAS 9.2 and Beyond 2008-03-13 SAS Institute

As the SAS architecture has grown to serve the complex and distributed challenges of enterprise-wide deployments, the tools used to plan, deliver, install, and configure SAS software have needed to grow in lockstep. The 9.2 release of the SAS Enterprise Intelligence Platform delivers an accompanying revolution in the way SAS software is deployed. The paper will summarize advancements such as electronic software download, customized orders, silent installations, streamlined dialog boxes, deployment capture/replay, and SAS Software Depot management. Looking further into the future, SAS Deployment R&D already has several innovative efforts underway. The paper will close by describing initiatives in the areas of open source standards and tools, update services, and Information Technology Infrastructure Library (ITIL) framework adoption.

Creating Complex Reports 2008-03-13 SAS Institute

This paper is for intermediate SAS programmers who want to see a gallery of complex reports and review the code that produced them. It covers the pros and cons of PROC REPORT, PROC TABULATE, and DATA _NULL_ for each report. All report output is produced using ODS (rather than LISTING) output. Get out the wrenches and tool belts and fasten one's seat belt for the ride, this is going to be a real nuts and bolts paper presentation.

Tags: Programming Languages

Introducing the SAS Code Analyzer 2008-03-13 SAS Institute

This paper introduces the PROC SCAPROC procedure, the SAS Code Analyzer that is new in Release 9.2 of Base SAS Software. The paper examines the advantages of using the procedure, its syntax and phases of execution, and the output that the procedure can produce. If one is responsible for maintaining a large legacy SAS application, one is probably interested in finding ways to improve the performance of the application. This is especially true if the application makes many passes through the same data sets, and one knows that those passes could potentially be run in parallel. However, it can be difficult and tedious to convert an application to run parallel steps, even when one has a good understanding of the application.

Tags: Programming Languages, Application Development

Getting Started With ODS Statistical Graphics in SAS 9.2 2008-03-13 SAS Institute

ODS Statistical Graphics (or ODS Graphics for short) is major new functionality for creating statistical graphics that is available in a number of SAS software products, including SAS/STAT, SAS/ETS, SAS/QC, and SAS/GRAPH. With the production release of ODS Graphics in SAS 9.2, over sixty statistical procedures have been modified to use this functionality, and they now produce graphs as automatically as they produce tables. In addition, new procedures in SAS/GRAPH use this functionality to produce plots for exploratory data analysis and for customized statistical displays. SAS/GRAPH is required for ODS Graphics functionality in SAS 9.2. This paper presents the essential information one needs to get started with ODS Graphics in SAS 9.2.

Tags: Data Mining - Analysis, Data Visualization

SAS Stat Studio: A Programming Environment for High-End Data Analysts 2008-03-13 SAS Institute

SAS Stat Studio 3.1 is new statistical software in SAS 9.2 that is designed to meet the needs of high-end data analysts - innovative problem solvers who are familiar with SAS/STAT and SAS/IML but need more versatility to try out new methods. Stat Studio provides a rich programming language, called IMLPlus, that blends an Interactive Matrix Language (IML) with the ability to call SAS procedures as functions and to create customized dynamic graphics. For standard tasks, Stat Studio provides the same interactive graphics and statistical capabilities available in SAS/INSIGHT, and so it serves as a programmable successor to SAS/INSIGHT.

Tags: Programming Languages, Data Mining - Analysis

Updates to SAS Power and Sample Size Software in SAS/STAT 9.2 2008-03-13 SAS Institute

Procedures for power analysis and sample size determination were introduced in SAS/STAT 9.1 along with a Web application for performing these analyses. SAS/STAT 9.2 adds analyses for several new designs, enhances some existing analyses, and replaces the Web application with a desktop application for your PC. The new analyses include logistic regression; confidence intervals, equivalence tests, and noninferiority tests for a binomial proportion; and the Wilcoxon Mann-Whitney test for two distributions. These new analyses join the ones already available with SAS/STAT 9.1: general linear univariate models, one-way ANOVA, multiple regression, t tests, confidence intervals and equivalence tests of means, tests of proportions, and survival rank tests.

Tags: Data Mining - Analysis, Data Visualization

Try, Try Again: Replication-Based Variance Estimation Methods for Survey Data Analysis in SAS 9.2 2008-03-13 SAS Institute

Complex survey samples are constructed with selection schemes that affect the usual random assumptions, so SAS/STAT software provides specialized procedures to analyze them: SURVEYMEANS, SURVEYFREQ, SURVEYREG, and SURVEYLOGISTIC for means, frequencies, regression, and logistic analysis, respectively. These procedures all use the Taylor series expansion method for variance estimation, which is usually considered to be the "Gold standard" when it is practical to compute. However, replication methods are also widely used in practice for variance estimation. Replication methods, such as the jackknife and Balanced Repeated Replication (BRR), replace complex algebra with simple repeated analysis. They enable the user to analyze the data without the original sample design, protecting survey security, and they ease the task of estimating variances for nonlinear quantities.

Tags: Data Mining - Analysis

Five Steps to More Valuable Enterprise Data 2008-03-12 DataFlux

Companies worldwide struggle with inconsistent, inaccurate or unreliable data - and often don't know how to build more useful corporate information. This white paper examines a five-step method for improving your data, using data profiling, data quality, data integration and other methods to find and fix bad data.

Tags: Data Quality, Business Intelligence - Data Warehousing

Information Architecture Essentials, Part 4: Improving Usability of Information Systems 2008-03-11 IBM

The best-organized information in the world is useless without an effective way to present that information to the interested audience. Poorly designed interfaces, inadequate search and filtering support, and confusing visual displays can severely hamper the success of any information architecture. To make complex information accessible to end users, one must make a significant effort to research and design the way users will interact with the information management system.

Data Centers Are Adopting Green Initiatives But Are Wary of Vendors' Marketing Messages 2008-03-11 Aperture Technologies

The IT industry and business in general are slowly waking up to the impact they are having on the environment. While the newspaper headlines target the growth of cheap flights as a leading cause of global warming, some commentators have suggested the IT industry is responsible for more carbon emissions than aviation. Organizations have to be seen to be environmentally aware, but how much of it is PR bluster, and how much of it is backed up by action? This survey shows that although 70% of organizations are adopting a green initiative, 19% admit the data center has been overlooked and 13% don't know how the data center is affected by the policy.

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Title	Date Added	Company
Deployment for SAS 9.2 and Beyond	2008-03-13	SAS Institute
As the SAS architecture has grown to serve the complex and distributed challenges of enterprise-wide deployments, the tools used to plan, deliver, install, and configure SAS software have needed to grow in lockstep. The 9.2 release of the SAS Enterprise Intelligence Platform delivers an accompanying revolution in the way SAS software is deployed. The paper will summarize advancements such as electronic software download, customized orders, silent installations, streamlined dialog boxes, deployment capture/replay, and SAS Software Depot management. Looking further into the future, SAS Deployment R&D already has several innovative efforts underway. The paper will close by describing initiatives in the areas of open source standards and tools, update services, and Information Technology Infrastructure Library (ITIL) framework adoption.
Creating Complex Reports	2008-03-13	SAS Institute
This paper is for intermediate SAS programmers who want to see a gallery of complex reports and review the code that produced them. It covers the pros and cons of PROC REPORT, PROC TABULATE, and DATA _NULL_ for each report. All report output is produced using ODS (rather than LISTING) output. Get out the wrenches and tool belts and fasten one's seat belt for the ride, this is going to be a real nuts and bolts paper presentation. Tags: Programming Languages
Introducing the SAS Code Analyzer	2008-03-13	SAS Institute
This paper introduces the PROC SCAPROC procedure, the SAS Code Analyzer that is new in Release 9.2 of Base SAS Software. The paper examines the advantages of using the procedure, its syntax and phases of execution, and the output that the procedure can produce. If one is responsible for maintaining a large legacy SAS application, one is probably interested in finding ways to improve the performance of the application. This is especially true if the application makes many passes through the same data sets, and one knows that those passes could potentially be run in parallel. However, it can be difficult and tedious to convert an application to run parallel steps, even when one has a good understanding of the application. Tags: Programming Languages, Application Development
Getting Started With ODS Statistical Graphics in SAS 9.2	2008-03-13	SAS Institute
ODS Statistical Graphics (or ODS Graphics for short) is major new functionality for creating statistical graphics that is available in a number of SAS software products, including SAS/STAT, SAS/ETS, SAS/QC, and SAS/GRAPH. With the production release of ODS Graphics in SAS 9.2, over sixty statistical procedures have been modified to use this functionality, and they now produce graphs as automatically as they produce tables. In addition, new procedures in SAS/GRAPH use this functionality to produce plots for exploratory data analysis and for customized statistical displays. SAS/GRAPH is required for ODS Graphics functionality in SAS 9.2. This paper presents the essential information one needs to get started with ODS Graphics in SAS 9.2. Tags: Data Mining - Analysis, Data Visualization
SAS Stat Studio: A Programming Environment for High-End Data Analysts	2008-03-13	SAS Institute
SAS Stat Studio 3.1 is new statistical software in SAS 9.2 that is designed to meet the needs of high-end data analysts - innovative problem solvers who are familiar with SAS/STAT and SAS/IML but need more versatility to try out new methods. Stat Studio provides a rich programming language, called IMLPlus, that blends an Interactive Matrix Language (IML) with the ability to call SAS procedures as functions and to create customized dynamic graphics. For standard tasks, Stat Studio provides the same interactive graphics and statistical capabilities available in SAS/INSIGHT, and so it serves as a programmable successor to SAS/INSIGHT. Tags: Programming Languages, Data Mining - Analysis
Updates to SAS Power and Sample Size Software in SAS/STAT 9.2	2008-03-13	SAS Institute
Procedures for power analysis and sample size determination were introduced in SAS/STAT 9.1 along with a Web application for performing these analyses. SAS/STAT 9.2 adds analyses for several new designs, enhances some existing analyses, and replaces the Web application with a desktop application for your PC. The new analyses include logistic regression; confidence intervals, equivalence tests, and noninferiority tests for a binomial proportion; and the Wilcoxon Mann-Whitney test for two distributions. These new analyses join the ones already available with SAS/STAT 9.1: general linear univariate models, one-way ANOVA, multiple regression, t tests, confidence intervals and equivalence tests of means, tests of proportions, and survival rank tests. Tags: Data Mining - Analysis, Data Visualization
Try, Try Again: Replication-Based Variance Estimation Methods for Survey Data Analysis in SAS 9.2	2008-03-13	SAS Institute
Complex survey samples are constructed with selection schemes that affect the usual random assumptions, so SAS/STAT software provides specialized procedures to analyze them: SURVEYMEANS, SURVEYFREQ, SURVEYREG, and SURVEYLOGISTIC for means, frequencies, regression, and logistic analysis, respectively. These procedures all use the Taylor series expansion method for variance estimation, which is usually considered to be the "Gold standard" when it is practical to compute. However, replication methods are also widely used in practice for variance estimation. Replication methods, such as the jackknife and Balanced Repeated Replication (BRR), replace complex algebra with simple repeated analysis. They enable the user to analyze the data without the original sample design, protecting survey security, and they ease the task of estimating variances for nonlinear quantities. Tags: Data Mining - Analysis
Five Steps to More Valuable Enterprise Data	2008-03-12	DataFlux
Companies worldwide struggle with inconsistent, inaccurate or unreliable data - and often don't know how to build more useful corporate information. This white paper examines a five-step method for improving your data, using data profiling, data quality, data integration and other methods to find and fix bad data. Tags: Data Quality, Business Intelligence - Data Warehousing
Information Architecture Essentials, Part 4: Improving Usability of Information Systems	2008-03-11	IBM
The best-organized information in the world is useless without an effective way to present that information to the interested audience. Poorly designed interfaces, inadequate search and filtering support, and confusing visual displays can severely hamper the success of any information architecture. To make complex information accessible to end users, one must make a significant effort to research and design the way users will interact with the information management system.
Data Centers Are Adopting Green Initiatives But Are Wary of Vendors' Marketing Messages	2008-03-11	Aperture Technologies
The IT industry and business in general are slowly waking up to the impact they are having on the environment. While the newspaper headlines target the growth of cheap flights as a leading cause of global warming, some commentators have suggested the IT industry is responsible for more carbon emissions than aviation. Organizations have to be seen to be environmentally aware, but how much of it is PR bluster, and how much of it is backed up by action? This survey shows that although 70% of organizations are adopting a green initiative, 19% admit the data center has been overlooked and 13% don't know how the data center is affected by the policy.