SAS Global Forum 2013 Papers ArchivePage 11

Stealing the Admin's Thunder: SAS® Macros to Interact with the UNIX OS from within SAS® Enterprise Guide®

Thomas Kunselman, Southern California Edison

Source category: SAS® Enterprise Guide® Implementation and Usage

Stop your 'Wine?-ing: Use a Stored Process!

Angela Hall, SAS ; Tricia Aanderud, And Data Inc

Source category: Business Intelligence Applications

Submitting SAS® Code on the Side

Rick Langston, SAS

Source category: Beyond the Basics

Take Home the ODS Crown Jewels: Master the New Production Features of ODS LAYOUT and Report Writing Interface Techniques

Dan O'Connor, SAS

Source category: Applications Development

Taking Full Advantage of sasCommunity.org: Your SAS® Site

Art Carpenter, CA Occidental Consultants ; Don Henderson, Henderson Consulting Services

Source category: Hands-on Workshops

Targeting Public Value in New Zealand

Michael O'Neil, Ministry of Social Development

Source category: Data Mining and Text Analytics

The Armchair Quarterback: Writing SAS® Code for the Perfect Pivot (Table, That Is)

Peter Eberhardt, Fernwood Consulting Group Inc

Source category: Hands-on Workshops

The Box-Jenkins Methodology for Time Series Models

Theresa Ngo, Warner Bros. Home Entertainment

Source category: Statistics and Data Analysis

The Concepts and Practice of Analysis with SAS® Enterprise Guide®

Chris Schacherer, Clinical Data Management Systems, LLC

Source category: SAS® Enterprise Guide® Implementation and Usage

The Dynamic Cube Viewer - OLAP Made Easy

Raymond Ebben, OCS Consulting

Source category: Reporting and Information Visualization

The Forest and the Trees: See It All with SAS® Visual Analytics Explorer

Nascif Abousalh-Neto, SAS

Source category: Business Intelligence Applications

The Hash-of-Hashes as a " Russian Doll" Structure: An Example with XML Creation

Joseph Hinson, MERCK

Source category: Beyond the Basics

The Hospital Game: Optimizing Surgery Schedules to Save Resources, and to Save Lives

Andrew Pease, SAS ; Ayesgul Peker, SAS

Source category: Operations Research

The Ins and Outs of Web-Based Data with SAS®

Bill McNeill, SAS

Source category: Beyond the Basics

The Magnificent DO

Paul Dorfman, Dorfman Consulting

Source category: Foundations and Fundamentals

The SAS® Output Delivery System: Boldly Take Your Web Pages Where They Have Never Gone Before!

Chevell Parker, SAS

Source category: Applications Development

The SAS® Programmer's Guide to XML and Web Services

Chris Schacherer, Clinical Data Management Systems, LLC

Source category: Foundations and Fundamentals

The SAS® Versus R Debate in Industry and Academia

Chelsea Lofland, University of California, Santa Cruz ; Rebecca Ottesen, City of Hope and Cal Poly State University, San Luis Obispo

Source category: Quick Tips

The SQL Tuning Checklist: Making Slow Database Queries a Thing of the Past

Jeff Bailey, SAS ; Tatyana Petrova, SAS

Source category: Data Management

The Successful SAS® Shop: 10 Ideas, Suggestions, and Radical Notions

Lisa Horwitz, SAS

Source category: Planning and Support

The Surprisingly " Sym"ple Alternative to Hardcoding

Rachel Carlson, Mayo Clinic ; Ruchi Sharma, Mayo Clinic

Source category: Quick Tips

The Top Four User-Requested Grid Features Delivered with SAS® Grid Manager 9.4

Doug Haigh, SAS

Source category: Systems Architecture and Administration

The Value of Neighborhood Information in Prospect Selection Models: Investigating the Optimal Level of Granularity

Dirk Van den Poel, Ghent University ; Philippe Baecke, Vlerick Business School

Source category: Statistics and Data Analysis

This Is the Modern World: Simple, Overlooked SAS® Enhancements

Bruce Gilsen, Federal Reserve Board

Source category: Beyond the Basics

Three Easy Ways to Create Customized SAS® Graphs

Qinghua (Kathy) Chen, Gilead sciences Inc,

Source category: Foundations and Fundamentals

Time Is Precious, So Are Your Models: SAS® Provides Solutions to Streamline Deployment

Jonathan Wexler, SAS ; Wayne Thompson, SAS

Source category: Data Mining and Text Analytics

Time Series Data: Anatomy of an ETL Project

Leonard Polak, Wells Fargo Technology and Operations Group

Source category: Quick Tips

Tips and Techniques for Deploying SAS® in an Application Virtualization Environment

Casey Thompson, SAS ; Chuck Hunley, SAS ; Michael King, SAS ; Rob Hamm, SAS

Source category: Systems Architecture and Administration

Tips and Techniques for Moving SAS® Data to JMP® Graph Builder for iPad®

Michael Hecht, SAS

Source category: Applications Development

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Tips for Generating Percentages Using the SAS® TABULATE Procedure

Kathryn McLawhorn, SAS

Source category: Foundations and Fundamentals

To Infinity and Beyond: Current and Future State of Big Data and Analytics in Life Sciences

Matthew Becker, inVentiv Health Clinical

Source category: Pharma and Health Care

Top 10 Most Powerful Functions for PROC SQL

Chao Huang, Oklahoma State University ; Yu Fu, Oklahoma State University

Source category: Poster and Video Presentations

Turn Your Plain Report into a Painted Report Using ODS Styles

Allison Booth, SAS ; Cynthia Zender, SAS

Source category: Reporting and Information Visualization

Uncovering Patterns in Textual Data with SAS® Visual Analytics and SAS Text Analytics

Dan Zaratsian, SAS ; Justin Plumley, SAS ; Mary Osborne, SAS

Source category: SAS and Big Data

Unleashing the Power of Unified Text Analytics to Categorize Call Center Data

Arila Barnes, SAS ; Jared Peterson, SAS ; Saratendu Sethi, SAS

Source category: Data Mining and Text Analytics

Update, Insert, and Carry-Forward Operations in Database Tables Using SAS® Enterprise Guide®

Sreenivas Mullagiri, iGATE Global Solution ; Thomas Billings, Union Bank

Source category: SAS® Enterprise Guide® Implementation and Usage

Using CALL SYMPUT to Generate Dynamic Columns in Reports

Bob Lan, Everest Clinical Research Services, Inc. ; Regan Li, Hoffmann-La Roche Limited ; Sai Ma, pharmanet-i3 ; Suwen Li, Everest Clinical Research Services, Inc.

Source category: Poster and Video Presentations

Using Classification and Regression Trees (CART) in SAS® Enterprise Miner? for Applications in Public Health

Leonard Gordon, University of Kentucky

Source category: Data Mining and Text Analytics

Using Data Mining in Forecasting Problems

Chip Wells, SAS ; Justin Kauhl, Tata Consulting ; Timothy Rey, Dow Chemical Company

Source category: Data Mining and Text Analytics

Using Design Principles to Make ODS Template Decisions

Helen Smith, RTI International ; Susan Myers, RTI International

Source category: Reporting and Information Visualization