SAS Global Forum 2007

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Das SAS Global Forum 2007 war die 32. Konferenz in der Reihe SAS Global Forum. Sie fand vom 16. bis zum 19. April 2007 in Orlando im US-Bundesstaat Florida statt. Die Leitung (Conference Chair) der Konferenz übernahm Robert C. Fecht. Bei der im Walt Disney World Swan and Dolphin Resort abgehaltenen Konferenz wurden 3.655 Besucher gezählt.

Beiträge

Applications Development

  • Alan K. Churchill: How to Generate 10,000 Excel Spreadsheets in 10 Minutes (Or Less).
  • Ted Conway: Good Info Comes in Small Multiples – Creating Small Multiple Presentations of Data with SAS® and Excel.
  • Dimitri Shvorob: I Want It All – Recovering Variable Labels When Importing Data from Microsoft Access.
  • Michael Compson, John C. Hennessey: How Suite It Is – Taking Full Advantage of SAS® Seamless Integration with Microsoft's Office Suite.
  • Stephen Hunt, Brian Fairfield-Carter: Zipping Right Along: Push-Button SAS® Transfers via Command-Line Invocation of the WinZip32 Executable.
  • Tim Williams: Better SAS® Programming through Version Control.
  • Yves DeGuire: The FILENAME Statement Revisited.
  • Jason Secosky: User-Written DATA Step Functions.
  • Jonah P. Turner: Spicing Up SAS/IntrNet® Applications (with Additives).
  • Houliang Li: Building Your Own Real-Time SAS® Server Monitor under UNIX.
  • Richard A. DeVenezia, John R. Gerlach, Larry Hoyle, Talbot M. Katz, Rick Langston: SAS® and Sudoku.
  • Gail Davidson, Guinevere Z. Mills: The Enterprise Melting Pot: Everyone’s a SAS User – They Just Don’t Know It.
  • Evangeline Collado, M. Paige Borden: To Cube or Not to Cube? Is OLAP the Better Choice?
  • Shelly Yiu-Morrison: Integration of webAF™ and Table-Driven Methodology.
  • Christopher Treglio: Extending SAS® Data Integration Studio with Java: Custom GUIs and SAS Server Interactions.
  • Kevin M. Kramer: SAS® Enterprise Guide® OLE Automation Using C#.
  • Richard W. Kobylinski: A Dynamic Example of Delivering Patient Management Identification Opportunities Using SAS/IntrNet®.
  • Blake Sanders: JobTrack: Transaction Computing 101.
  • Derek Morgan: Managing Stored SCL Lists, and Creating Text Files from SCL Catalog Entries: Two SAS/AF® Utilities.
  • Michael D. Thomas, Rick Sherwood, Robert Allison: Reusable SAS/GRAPH® Stored Processes for Dashboarding.
  • Cynthia L. Zender: ODS Options and SAS® Stored Processes.
  • Rupinder Dhillon, Peter W. Eberhardt: %STPBEGIN: How SAS Enterprise Guide® Almost Removed the "L" Word from My Relationship with SAS®.
  • Heather Weinstein: Converting SAS/IntrNet® Programs to SAS® Stored Processes.

BI Forum

  • John Smale: Infrastructure Matters! How the Right IT Infrastructure Adds Value to a SAS® BI/DW Deployment.
  • Mike Vanderlinden, Brian Varney: Best Practices for Implementing a BI Strategy with SAS®.
  • Greg Battas: A Single Version of the Truth—How HP Is Advancing Business Intelligence.
  • Steve Trammell: Leveraging Location for Better Analytics and Reporting.
  • Alexander J. Black: Business Intelligence—Going Beyond the Numbers.
  • Cynthia L. Zender: SAS® Stored Process Case Study.
  • Cliff Bills, Warren Lewis, Dharmita Lutz, John R. Roth: Good Habits for Better Living: What to Expect with Java Application Servers for the SAS® 9.2 Business Intelligence Middle-Tier.
  • Diane Hatcher, Scott Leslie: Ask Me Anything: New SAS® Prompting Architecture.
  • Paul Grant, Jodi Blomberg, Jeff Mudd: Using the SAS® Enterprise Intelligence Platform for Logistics Optimization: Linking Data Integration, Analytics, and Business Intelligence.
  • Michael Thomas, Rick Styll: Building Intelligent Dashboards with SAS® BI.
  • Rick Styll: Integrated Reporting Using SAS®9 BI Clients.
  • Eric Hill, John P. Schroedl, Jon T. Weisz: JMP® 7: Statistical Discovery Meets SAS® Business Intelligence.
  • Aiman Zeid: Business Intelligence Competency Center: What Is It, and How Do You Deploy It?
  • Mary Driscoll: Best Practices—Top 5 CFO Challenges.
  • Joe Spears: SAS® Business and Financial Intelligence, a Powerful Combination.
  • Justin Choy, Michelle Wilkie: Exploring OLAP Cubes.
  • Florence Hudson: IBM Mainframe—The Workhorse for Enterprise Business Intelligence.
  • Michelle Wilkie, Janet Tierney: ROLAP, MOLAP, HOLAP - SAS Can Do It All.

BI Workshop: SAS Business Intelligence Applications

  • Eric Rossland, Kari Richardson: Hands-On Workshop: SAS® Business Intelligence Applications.

Coders' Corner

  • Teo Gamishev: How to Optimize Existing SAS® Programs Generating Standard Reports.
  • Art Carpenter: In the Compute Block: Issues Associated with Using and Naming Variables.
  • Teo Gamishev: Affordable SAS® Tips.
  • Rick Langston: Handling Large Stream Files with the @'string' Feature.
  • Ronald J. Fehd: Journeyman's Tools: Data Review Macro FREQALL – Using PROC SQL List Processing with Dictionary.Columns to Eliminate Macro DO Loops.
  • Pon Su: Calculating Duration via the Lagged Values of Variables.
  • Roger P. Pickering: Using SAS® Macros to Produce Tables for Publication from SAS-Callable SUDAAN.
  • Paul A. Choate: Quick Record Lookup without an Index.
  • Julius Atashili, Myduc L. Ta: A SAS® Macro for Automating the Change-In-Estimate Strategy for Assessing Confounding.
  • Renato G. Villacorte: Parameter-Gathering Techniques for Data-Driven Programming.
  • William E. Benjamin Jr: Hurry! Hurry! Step Right Up! The Magical Compound WHERE Clause Can Eliminate DATA Steps, Reduce Processing Steps, Speed Up Turnaround, and Mystify Your Friends.
  • Jeanina Worden: Hanging On by a STRING? Using Functions to Untie Text Strings.
  • Sassoon Kosian: A Generic Method of Parallel Processing in Base SAS® 8 and 9.
  • Suzanne M. Humphreys: Back Up with Each Submit and Save Your Sanity!
  • David Pope: Empowering Your SAS® Business Intelligence End Users via a SAS® Stored Process.
  • Elena Muriel: Hashing Performance Time with Hash Tables.
  • Srinivas G. Bhat, Jim Fang, Vijay Venugopal: An Approach for a Scalable, Platform-Independent, Automated Solution Using SAS® IOM.
  • Wei Cheng: Graphical Representation of the Mean Measurement over Time.
  • Linda T. Jolley, Jane S. Stroupe: Dear Miss SASAnswers: A Guide to SAS® Efficiency.
  • R. Scott Leslie: Using Arrays to Calculate Medication Utilization.
  • Xiaoming Liang: Using Dynamic Data Exchange and Table-Driven Programming to Manage Microsoft Excel Files.
  • Hsiwei Yu, Dong-Min Shen: Group Headers by Template with Optional Columns.
  • Erik W. Tilanus: Turning the Data Around: PROC TRANSPOSE and Alternative Approaches.
  • Edward Heaton: Creating a Local Library.
  • Henry H. Xia: Categorizing Drug Data in a Complex Survey with SAS® PROC FORMAT, INPUT, and PUT Functions.
  • Richard F. Pless: SAS® Tools for Program Automation.
  • William C. Murphy: Changing Data Set Variables into Macro Variables.
  • Peter Crawford: Easy SAS® Session Customization.
  • Ian Whitlock: Names, Names, Names - Make Me a List.
  • John C. Hennessey: SAS/CONNECT® to Mainframes and Servers in SAS® Enterprise Guide® 4 Using SAS Code.
  • Linda L. Libeg: FUNCTIONSIZE: Process Your External Files.
  • John DeMeo: Creating Microsoft Excel Pivot Tables from SAS® – (Part 2).
  • Dennis Gianneschi: Seven Steps to Regulatory Publication Style with PROC REPORT.
  • Angelina D. Tan, Nancy Diehl, Jayawant N. Mandrekar: Saving Trees with Output Delivery System (ODS).
  • Richard F. Pless: Data on Demand with SAS® Enterprise Guide®: A Cheap and Easy Approach to Real-Time Database Access.
  • Flora Rodriguez Montaño, Miguel Zamudio Montaño: Useful SAS® Macros and Routines.
  • Faron Kincheloe: Excelling with SAS®.
  • James David Barfield, Jyoti N. Rayamajhi, John G. Moore: Automatically Incorporating Repeated Changes in SAS® Programming Codes in Clinical Trial Reporting.
  • Kirk P. Lafler: Simple Rules to Remember When Working with Indexes.
  • George J. Hurley: Customizing Your SAS® Initialization.
  • Shi-Tao Yeh: Using Invisible Characters in SAS® Programming – Hidden Dragons, Episode II.
  • Michael P. Walkup, Timothy E. Craven, Gregory B. Russell: March Sanity – A SAS® Application for Administering an NCAA Tournament Pool.
  • Jim Groeneveld: SAS® Macro Version Control.
  • Ronald J. Fehd: DO Which? Loop, UNTIL, or WHILE? A Review of DATA Step and Macro Algorithms.
  • Wendi L. Wright: Creating a Format from Raw Data or a SAS® Data Set.
  • Wendi L. Wright: Checking for Duplicates.
  • David Fickbohm: Using the DATASETS Procedure – Part II.
  • Kirsty R. Lauderdale: PROC SQL – The Dark Side of SAS®?
  • Jyotheeswara N. Yellanki: Calculating Statistics Using PROC MEANS versus PROC SQL.

Communications Focus Session

  • Rob Mattison: Keynote Presentation: Breakthrough Business Intelligence: Case Studies in Taking Business Intelligence to Next Level in the Telecommunications Industry.
  • Ken King: SAS Response: Impacts of New Services on Communication Services Providers.
  • Andrew Christian: Customer Case Study: A Case Study in Clustering and Behavioral Modeling.
  • Carlos A. Pinheiro: Customer Case Study: Competitive Intelligence through Business Analytic and Data Mining Environments.

Data Mining and Predictive Modeling

  • Doug Wielenga: Identifying and Overcoming Common Data Mining Mistakes.
  • Tom Bohannon: Predictive Modeling in Higher Education.
  • J. Michael Hardin: Teaching Business Applications of Data Mining.
  • Robert Chu, David Duling, Wayne Thompson: Best Practices for Managing Predictive Models in a Production Environment.
  • Uzma Raja: Predicting Software Maintenance Outcomes Using Data Mining and Text Mining.
  • Wensui Liu, Jimmy Cela: Improving Credit Scoring by Generalized Additive Model.
  • Hamed Zahedi: Data Mining Physician Decisions for MRSA.
  • Rodger Zhang: OLS Regression? Auto-Regression? Dynamic Regression?
  • John A. Cherrie: Variable Screening for Multinomial Logistic Regression on Very Large Data Sets as Applied to Direct Response Modeling.
  • Ting Millette: Find the Best Prospects for a New Product by Using a Data Mining Model.
  • Mussie A. Tesfamicael: Data Mining to Investigate the Prescribing of Medications Longitudinally.
  • Barry deVille: Ubiquitous Scoring of 1000+ Warranty Categories Using Predictive Rules Derived from Text.
  • Patricia B. Cerrito: Text Mining and PROC KDE to Rank Nominal Data.
  • Russell D. Albright, Jake Bartlett, David Bultman: Making Web Results Relevant with SAS®.
  • Hrushikesh A. Khopkar, Jay King: Critical Success Factors for Rate Making Using SAS® Enterprise Miner™.

Data Presentation

  • Jeff Cartier, Dan Heath: Using ODS Styles with SAS/GRAPH®.
  • Terek J. Peterson, Robert Gordon: Creating ActiveX Graphs for Presentations Using SAS® Enterprise Guide® and Drill-Down Graphs Too.
  • Samuel T. Croker: Presentation Quality Forecast Visualization with SAS/GRAPH®.
  • Paul Martino, Richard Dirmyer, Sara Schley: Graphing Longitudinal Data: Deaf Children in the "Children of the National Longitudinal Survey of Youth".
  • Lea Liu, Nan Guo, William F. McCarthy: Gaining Power from GTL and ODS Style to Control Graphical Output.
  • LeRoy Bessler: How to Make the "Best Choice” from the Many Ways to Create and Deliver SAS® Graphs.
  • Wei Cheng: ODS Statistical Graphics for Clinical Research.
  • Wendi L. Wright: Make Your PROC TABULATE Tables Pretty Using ODS Style Options.
  • Woodrow Deitrich, Duane Beekly, William W. Lee, Thomas Koepsell, Walter A. Kukull: Web-based Data Quality Assurance Reports at the National Alzheimers Coordinating Center (NACC).
  • Electra Small: Creating Tables of Contents in RTF Documents.
  • Sy J. Truong, Jing Xu: Delivering SAS® to Excel Jockeys.
  • Cynthia L. Zender: Funny ^Stuff~ in My Code – Using ODS ESCAPECHAR.

Data Warehousing, Management and Quality

  • Nancy Rausch, Eric J. Hunley, Gary Mehler: Speed It Up – Active Warehousing with SAS® Data Integration: From Batch to Real-Time.
  • Tatyana Kovtun: SAS® Data Integration Studio and SAS® Macro – Working in Harmony for Data Warehousing Projects.
  • Vijay Venugopal, Srinivas G. Bhat, Jim Fang: Performance-Driven Data Integration – An Optimized Approach.
  • Paul Gorrell: Simple and Effective – Using ODS Destinations to Facilitate Data Management.
  • Lisa L. Frank: At the Controls – How We Set Up Security via SAS® Management Console.
  • Jeffrey M. Abolafia, Frank DiIorio: The Electronic Project: Effectively Using Metadata throughout the Project Life Cycle.
  • Faron Kincheloe: Squeaky Clean Data with SAS® Data Quality Server.
  • Paul D. Sherman: Demeter in the Database.
  • Nancy Rausch, Nancy J. Wills: Super Size It!!! Maximize the Performance of Your ETL Processes.

DI Workshop: dfPower Studio and SAS Data Integration Studio

  • Kari Richardson, Eric Rossland: Hands-On Workshop: DataFlux® dfPower® Studio and SAS® Data Integration Studio.

Education Focus Session

  • Jim Black: Keynote Presentation: Perfecting Strategy Using Actionable Intelligence.
  • Allen Goben, Andy Sudar: SAS Response: FanSAStic! Results: Collaboratively Leading Institutional Effectiveness Efforts in Higher Education Institutions.
  • Linda Sullivan: Customer Case Study: Using Data Integration and Business Intelligence Tools to Provide Strategic-Decision Support for Universities.
  • Karl Konsdorf: Customer Case Study: The DAWN of New Era in Analytical and Business Intelligence at Sinclair Community College.

Energy and Utilities Focus Session

  • Leigh Parkinson: Sponsor Presentation: Making Better Decisions: SAS in the Energy Marketplace.
  • Patrick Reames: Keynote Presentation: Evolving Wholesale Energy Markets Demand New Technology Solutions.
  • Craig Carothers, Steve McMane: SAS Response: Revenue Assurance for Energy ... Using SAS® Solutions to Leverage Corporate Intelligence to Fuel Effective, Forward-Looking Decisions in Volatile Markets.
  • Gord Anderson, Mark Perrin: Customer Case Study: The Evolution of Financial Risk Analytics at EnCana.
  • Ernest L. Podraza: Customer Case Study: SAS® Application in a Deregulated Electric Retailer.

Financial Services/Banking Focus Session

  • Zohar Kritzer: Keynote Presentation: Overcoming Commoditization through Dynamic Relationship Pricing.
  • Bob Messier: SAS Response.
  • Jill Enabnit: Customer Case Study: U.S. Bank.
  • Daniel Thorpe: Customer Case Study: Customer Equity Driven Marketing Mix Decisions at Wachovia Bank.

Financial Services/Insurance Focus Session

  • Matthew Josefowicz: Keynote Presentation: SOA in Insurance.
  • David A. West: SAS Response: SOA: Hype or Revolution – What Insurers Need to Know About Service-Oriented Architecture.
  • Michael Armstrong: Customer Case Study: Liberty Mutual.

Financial Services/Risk Focus Session

  • Jan Rowland: Keynote Presentation: Risk Management Best Practices for Small Business Lending.
  • Mark Dayton: SAS Response: Data Management for Credit Risk Organizations: How SAS®9 Solutions and Technologies Can be Leveraged to Manage the Associated Issues and Challenges.
  • Sanjiv Talwar, Jonathan Carroll: Customer Case Study: Data Management Within Credit Risk Management.
  • Stephen Gladysz: Customer Case Study: Revolutionizing Risk Management with Enterprise Business Intelligence.

Government Focus Session

  • Gregory K. Cohen: Keynote Presentation: Performance Management in Government: A Complex Partnership.
  • Gary Cokins: SAS Response: Performance Management in Government: Moving the Dials to Drive Real Results.
  • Kristine Dougherty: Customer Case Study: Building Performance Information in a Statewide Corrections Agency.
  • Patrick Flaherty: Customer Case Study: U.S. Centers for Disease Control and Prevention.

Hands-on Workshops

  • Kirk P. Lafler, Ben T. Cochran: A Hands-On Tour inside the World of PROC SQL.
  • Marje Fecht, Rupinder Dhillon: A "SAS® Programmer's" Guide to SAS® Enterprise Guide®.
  • Gregory S. Nelson: Planning for and Designing a Data Warehouse – A Hands-On Workshop.
  • Deb Cassidy: An Introduction to SAS/GRAPH® Step-by-Step.
  • Ronald J. Fehd, Art Carpenter: List Processing Basics: Creating and Using Lists of Macro Variables.
  • Terry Fain, Cyndie B. Gareleck: Using SAS® to Process Repeated Measures Data – A Hands-On Approach.
  • Susan J. Slaughter, Lora D. Delwiche: Dynamic Projects in SAS® Enterprise Guide® – How to Create and Use Parameters.
  • Marge Scerbo: Win the Pennant! Use PROC FORMAT.
  • David H. Johnson, Wendy B. Dickinson: Data Matching.
  • Frederick E. Pratter: Using the SAS® Output Delivery System and PROC TEMPLATE to Create XHTML Files.
  • Edward Heaton: Reading Excel Workbooks.
  • Vince DelGobbo: Creating Multi-Sheet Excel Workbooks the Easy Way with SAS®.
  • Russ Lavery: An Animated Guide: The SAS® DATA Step Debugger.

Life Sciences Focus Session

  • Rebecca Kush: Keynote Presentation: Standards for Clinical Research from Protocol Through Submission: CDISC Business Case and Progress Report.
  • Edward D. Helton: SAS Response: Concepts and Thoughts for a CDISC /FDA Pilot and Interfacing with HL7 RCRIM Projects.
  • Gregory C. Steffens: Customer Case Study: The Use of Metadata in the CDISC SDTM/ADaM Pilot Project.
  • Greg Anglin: Customer Case Study: Overview of the CDISC Pilot Project.
  • Landen Bain: Keynote Presentation: Retrieve Form for Data-Capture (RFD): an Integration Profile to Enable EHR Capture of Clinical Trial Data.
  • Musa Nsereko: Customer Case Study: Building a Clinical Trials Data Repository using the CDISC SDTM standards and ETL.
  • Ing-Ming Pan, Audrey Yu: Customer Case Study: Turning Information into Intelligence: Clinical Data Navigation and Integration.
  • Bernd Doetzkies: Customer Case Study: Using SAS® Drug Development to Promote Collaboration and Decision Making.
  • George Higgins: Keynote Presentation: Leveraging Technology to Promote a Culture of Patient Safety.
  • Neil Fleming: Customer Case Study: Quality: Baylor Health Care System.
  • Sam Preston: Customer Case Study: Using SAS to Develop and Deliver a Predictive Model for Case Management Identification.

Manufacturing Focus Session

  • Dann Maurno: Keynote Presentation: Enterprise Intelligence: The Advantage of Brains in a Brawny World Market.
  • Michael Newkirk: SAS Response: Optimizing the Service Chain.
  • Thomas Kondrat: Customer Case Study: Data Mining at Chrysler Group.
  • Tim Rey: Customer Success Story: The Dow Chemical Co: Quantitative Methods and SAS in the Chemical Industry.

Media, Entertainment & Travel Focus Session

  • Tom Boyles: Keynote Presentation: Customer Managed Relationships at Disney.
  • Scott Radcliffe: SAS Response: Optimize Customer Experience and Competitive Advantage with SAS.
  • Steve Collins: Customer Case Study: BMG Columbia House.
  • Thomas Tileston: Customer Success Story: Have Your Cake and Eat it Too! Accelerate Forecasting Combining SAS and Teradata.

Planning, Development and Support

  • Amy Peters: Navigating the SAS® Training Experience.
  • Alan Meier: Navigating a Major Regulatory Submission Project to Success.
  • Deb Cassidy: What's a ""Senior"" SAS® Position?
  • Stephanie R. Thompson: Workforce Preparation: Equipping Undergraduates with SAS® Knowledge.
  • Jenine Milum: Assessing SAS® Skill Level during the Interviewing Process.
  • Andrew H. Karp: Thirteen Things I Wish I Knew before I Became an Independent SAS® Software Consultant.
  • Rick M. Mitchell: Finding Your Mistakes before They Find You – A Quality Approach for SAS® Programmers.
  • Rex Pruitt: Project Organization Proposal (POP) and Project Leadership Plan Guide.

Posters

  • Hany Aboutaleb: The ABC's of Graphical Data Analysis Using SAS/GRAPH®.
  • Leonor L. Ayyangar: Skewness, Multicollinearity, Heteroskedasticity – You Name It, Cost Data Have It! Solutions to Violations of Assumptions of the Ordinary Least Squares Regression Model Using SAS®.
  • Xinli Bao: Mining Transaction/Order Data Using the SAS® Enterprise Miner™ Association Node.
  • Bethany A. Bell-Ellison, Jeffrey D. Kromrey: Alternatives for Analysis of Complex Sample Surveys: A Comparison of SAS®, SUDAAN®, and AM® Software.
  • LeRoy Bessler: Communication-Effective Pie Charts.
  • Kenneth W. Borowiak: Perl Regular Expressions 102.
  • Vanessa Bundy, Paule Barbeau, Maribeth Johnson: Effect Modification Investigation Using SAS® – A Model-Building Exercise.
  • Rebecca Christofferson, Kevin Barry, Richard Condrey, James P. Geaghan: An Analysis of Abundance and Catch Probability of Sharks off Coastal Louisiana.
  • James T. Coraggio, Melinda R. Hess, Constance Hines, Jeffrey D. Kromrey, Reginald S. Lee, Stephen L. Luther: GLMM_SIM: A SAS® Macro for Evaluating the Statistical Integrity of General Linear Mixed Models.
  • Apryl DeLancey: Easy Graphs with PROC FORMAT, PROC GPLOT, and ODS.
  • Lora D. Delwiche, Susan J. Slaughter: Point-and-Click Style Editing in SAS® Enterprise Guide®.
  • Wendy B. Dickinson, Constance Hines, Anthony Onwuegbuzie: People, Pattern, and Place: SAS/GRAPH® Data Display of Immigration Activity across the United States.
  • Chan-Hee Jo, Jeff M. Gossett, Pippa M. Simpson: Regression Splines with Longitudinal DATA.
  • Louise S. Hadden: Smooth Writing with In-Line Formatting.
  • Jerry High, Barbara J. Miller: Projects, Programs, and Links – Oh My!.
  • Edith Latendresse, Maurice Djona, Susie Fortier: Benchmarking Sub-Annual Series to Annual Totals – From Concepts to SAS® Procedure and SAS® Enterprise Guide® Custom Task.
  • Choon-Chern Lim: 7 Bulletproof Steps: The Quickest Way to Programmatically Generate a Dynamic Excel Graph from SAS®.
  • Zaizai Lu, David Shen: Population Pharmacokinetics Studies with Nonlinear Mixed Effects Modeling.
  • Neal Musitano Jr.: Annotated SAS/GRAPH® Plot of z/OS® Goal Mode Performance Indexes Using Macros and MXG® Software.
  • Stuart Nisbet: Animating SAS/GRAPH® Output–Telling a Story That Changes Over Time.
  • Lori S. Parsons: Enhancing RTF Output with RTF Control Words and In-Line Formatting.
  • Brian F. Patterson, Mylene Remigio: Don’t %QUOTE() Me on This: A Practical Guide to Macro Quoting Functions.
  • James L. Ribble: Using an ODS Tagset to Create Distributable, Editable Data Islands.
  • Mindy S. Rodgers, Gregory C. Steffens: The Art of Code Validation.
  • Barbara Schneider, Kristan A. Schneider: Visualizing Statistical Inference Using SAS®.
  • Haibin Shu: Tabbing through ODS.
  • Tim Tian: A Simple Way to Combine Graphs and Text - DSGI.
  • Sy J. Truong, Na Li: Can Coding MedDRA and WHO Drug Be as Easy as a Google Search?
  • Rita Tsang: Know Your AREA! Creating Professional SAS® Graphics in Clinical Safety Data by Using the AREAS Option in PROC GPLOT.
  • Mark Tabladillo: A Video Guide to SAS® Help 2007.
  • Giovanni M. Viglioni: Methodology for Railway Demand Forecasting Using Data Mining.
  • Jeanina Worden: Skinny to Fat – In Search of the “Ideal” Data Set.
  • Wendi L. Wright: A Legend Is Not Just a Legend.
  • Shi-Tao Yeh: SAS® Constellation Diagram Has Many Faces.
  • Taras Zlupko: CRSP Indices in SAS®.
  • Heng Zou: A SAS/AF® Application to Transfer Data between SAS and XLS/CSV/XML Files.

Retail Focus Session

  • Rajeeve Kaul: Keynote Presentation: Demand-Driven Retailing Drives AutoZone's Success.
  • Alexi L. Sarnevitz: SAS Response: Retail Demand Intelligence: A 21st Century Shareholder Value Requirement.
  • Tim Combs: Business Strategy Meets Advanced Planning.
  • Jason Gautereaux: Customer Demand Forecasting Drives Merchandising Results.
  • Charlie Bunce, Janet Sparkman: Panel Discussion: Beyond the Buzz -- Increasing Revenue and Brand Loyalty in a Multi-Channel World.
  • Jeff Levitan: SAS Response: Driving Marketing Performance in a Multichannel Customer Centric World.
  • Tom Rafferty: Customer Experience: Retail-Driven Demand Planning in Wholesale Distribution.
  • Gary Helms, Howard Hovagimian: Sponsor Presentation: HP Category Management - Data Mining and intelligence In Action.

SAS Presents

  • Warren Repole: Exporting SAS/GRAPH® Output for Inclusion in Web Pages and Other Software Applications.
  • Margaret A. Crevar, Leigh Ihnen: Best Practices for Configuring Your I/O Subsystem for Your SAS®9 Applications.
  • Jason Secosky, Janice Bloom: Getting Started with the DATA Step Hash Object.
  • Cheryl Doninger, Tom Keefer: Best Practices for Setting Up Computer Hardware in a Grid Environment.
  • Jane S. Stroupe: Adventures in Arrays.
  • Chris Hemedinger: Extending SAS Enterprise Guide and SAS Add-In for Microsoft Office with Custom Tasks.
  • Tony Friebel, Richard Foley: What's New in the XML LIBNAME Engine.
  • Allison D. McMahill: Beyond the Basics: Advanced PROC REPORT Tips and Tricks.
  • Michele A. Trovero, Mahesh Joshi, Michael Leonard: Efficient Reconciliation of a Hierarchy of Forecasts in Presence of Constraints.
  • Mary-Elizabeth Eddlestone: Data Mining in the Enterprise: How to Integrate Data Mining with ETL and Business Intelligence.
  • Pat Herbert: Real-Time Data Quality—The Right Answers at the Right Time.
  • Maura Stokes, Robert N. Rodriguez, Tonya Balan: SAS/STAT® 9.2: Coming to a SAS® Site Near You.
  • Darrell Massengill: Making Business Decisions Using SAS® Mapping Technologies.
  • Jessi Fraley, Ben Tomlinson: Improve Your Quality of Life with the SAS® Configuration Troubleshooter.
  • Lisa Dodson: Playing the Match Game—How Baylor University Saved Money and Improved Customer Relations.
  • Stephen McDaniel: The Next Generation of Desktop Business Intelligence: SAS® Enterprise Guide® and the SAS® Add-In for Microsoft Office.
  • Pat Herbert: Customer Data Integration: A Framework for Building Adaptable Customer-Oriented Business Services.
  • Eric J. Hunley, Gary Mehler, Nancy Rausch: SAS® Data Integration Studio Product Review.
  • Gary T. Ciampa, Scott Marusak: Monitor your SAS®9 BI Environment with Enterprise Systems Management Applications and SAS® Management Console.
  • Dan Jahn: Web Services: The Door Is Open, All Are Welcome.
  • Larry Noe: Single Sign-On in SAS® 9.2.
  • Rick Wicklin: An Introduction to SAS® Stat Studio: A Programmable Successor to SAS/INSIGHT®.
  • Diane Hatcher, Ken Matz: Case Studies in Using SAS® Information Map Studio to Solve Query and Reporting Challenges.
  • Gehan Corea, Ed Hughes: Earned Value Management with SAS/OR®: Adding Critical Performance Monitoring to Project Execution.
  • Dan Sargent: Utilizing the SAS® SPD Server Dynamic Cluster and Parallel Join Features to Manage and Query Very Large Data.
  • Brad Wollangk, Michelle Buchecker: Using 'Dynamic' Variables with SAS®.
  • Jifa Wei, Robert Chu, Fred Burke: What Models Can You Manage with SAS® Model Manager?
  • Ed Hughes: Adding the Power of SAS/OR® to Spreadsheet Optimization.
  • Michael Bridgers, Scott Mebust: Creating Order Out of Character Chaos: Collation Capabilities of the SAS® System.
  • Wes Rehm, Craig Rubendall: Easy Access to SAS Using Google Integration.
  • Gary T. Ciampa: Achieving High Availability for the SAS®9 Metadata Server.
  • Forrest Boozer, Chris Zogby: Case Study in Synchronizing Identities in the SAS®9 Metadata Server with an Enterprise Security Provider.
  • Mark Schneider: The Future of SAS® Deployment for 9.2 and Beyond.
  • Manya Mayes, Mary-Elizabeth Eddlestone: Audio Analysis in Action.
  • Robert N. Rodriguez: Visualizing the Voice of Your Process: An Introduction to SAS/QC® for Statistical Novices.
  • Stephen McDaniel: The New World of SAS®: Programming with SAS® Enterprise Guide®.
  • Darrell Massengill: SAS/AF®: Running SCL outside the Frame.
  • Ann Weinberger, Jana Van Wyk, Tina Belmaggio: Administration of SAS® Cubes.

SAS Presents...Solutions

  • David A. Froning: SAS® Warranty Analysis 4.1: Earlier Warning, More Accurate Definition, and Faster ROI.
  • David Handelsman: SAS® Drug Development: Bringing Innovation to Life Sciences.
  • Tanya C. Kalich: Marketing Automation Administration—Going from Good to Great.
  • Andy Bober: Real-Time Decision Management with SAS®.
  • Frank Lieble: SAS IT Intelligence for Resource Optimization Using the SAS Forecast Server.

SAS Presents…BI Architecture Tips and Techniques

  • Sandy Gibbs: What You Always Wanted to Know about Hot Fixes and Service Packs but Never Asked.
  • Anja Fischer: Getting Started with Your SAS® Installation Kit.
  • Anja Fischer, Sandy Gibbs: Troubleshooting SAS® Foundation and SAS® Enterprise Intelligence Platform Installs.
  • Anja Fischer, Sandy Gibbs: Troubleshooting SAS® Application Servers.
  • Anja Fischer: Securing Your Deployment: SAS® Metadata Security.
  • Anja Fischer: Managing Your SAS®9 Enterprise Intelligence Platform Metadata Repositories.
  • Anja Fischer: Metadata Backup and Restore with %OMABAKUP.
  • Anja Fischer, Sandy Gibbs: Introducing: SAS Metadata Server.
  • Anja Fischer: Securing Your Deployment: SAS® Metadata Security.

Statistics and Data Analysis

  • David A. Dickey: Forecasting Methods—An Overview of Models and Techniques.
  • Jan Chvosta, Donald Erdman: Analyzing Time Series Cross-Sectional Data with the PANEL Procedure.
  • Trevor Kearney, Ed Hughes: Optimization with SAS/OR®—What It Is, What's New, and How It Adds Value.
  • Sandra Archer, Robert L. Armacost: Using SAS/OR® to Determine the Optimal Path to Graduation.
  • Zoran Bursac, C. Heath Gauss, David K. Williams, David W. Hosmer: A Purposeful Selection of Variables Macro for Logistic Regression.
  • Bonnie E. Kegan, Todd Williams: SAS® Macros for Automated Model Selection When the Response Variable Is Nominal—Needs and Solutions Involving PROC CATMOD.
  • John P. Sall: JMP® 7 Features: Computer Experiments, Large Scale Analytics, and Visualization.
  • Oliver Schabenberger: Growing Up Fast: SAS® 9.2 Enhancements to the GLIMMIX Procedure.
  • Ramon C. Littell: Repeated Measures Analysis with Clustered Subjects.
  • Peter L. Flom, James M. McMahon, Enrique R. Pouget: Using PROC NLMIXED and PROC GLMMIX to Analyze Dyadic Data with a Dichotomous Dependent Variable.
  • Michael J. Sobczak: Attitudes toward Immigrants and Immigration in the United States—Toward a Structural Approach.
  • Steven A. Gilbert, Lingyun Chen: Using SAS® PROC NLMIXED for Robust Regression.
  • Pedro A. Torres, Raul Macchiavelli: Marginal Interpretation of Subject-Specific Curves: Logistic-Normal Regression.
  • David L. Cassell: Don't Be Loopy: Re-Sampling and Simulation the SAS® Way.
  • R. Scott Leslie, Patrick Thiebaud: Using Propensity Scores to Adjust for Treatment Selection Bias.
  • Marcelo Coca-Perraillon: Local and Global Optimal Propensity Score Matching.
  • Emily Blood, Kevin F. Spratt: Disagreement on Agreement: Two Alternative Agreement Coefficients.
  • Jayawant N. Mandrekar, Sumithra J. Mandrekar, Stephen S. Cha: SAS® Macros for Assessing the Symmetry of a Data Set.
  • Adrienne Groulx, Kyung-hee (Kelly) Moon, St. Clare Chung: Using SAS® to Determine Sample Sizes for Traditional Two-Stage and Adaptive Two-Stage Phase II Cancer Clinical Trial Designs.
  • Michele Jonsson Funk, Daniel Westreich, Marie Davidian, Chris Wiesen: Introducing a SAS® Macro for Doubly Robust Estimation.
  • Jose G. Ramirez, Randall D. Tobias: Split and Conquer! Using SAS/QC® to Design Quality into Complex Manufacturing Processes.
  • George C. Fernandez: Model Selection in PROC MIXED—A User-Friendly SAS® Macro Application.
  • David M. Thompson: Latent Class Analysis in SAS®—Promise, Problems, and Programming.
  • Dan Heath: New SAS/GRAPH® Procedures for Creating Statistical Graphics in Data Analysis.
  • Rick Wicklin: An Introduction to SAS® Stat Studio: A Programmable Successor to SAS/INSIGHT®.

Systems Architecture

  • Michael A. Raithel: A Simple Chargeback System for SAS® Applications Running on UNIX and Linux Servers.
  • Faisal Dosani: Two Heads Are Better Than One – Getting the Most Out of Multiprocessing.
  • Gerhardt Pohl, Fred R. Forst, Mario Widel, Thomas H. Burger: Pipes and Threads: Performance Testing of Advanced Scalability Features in SAS®9.
  • Somantak Chanda: A Throughput-Intensive Compute and Storage Grid Using SAS® Grid Manager.
  • Maureen E. Chew: Zebra, Zamboni, Zen and the art of ZFS - A SAS® 9 on Solaris 10 Performance Comparison.
  • Diane Hatcher, Ken Matz: Best Practices for SAS®9 Metadata Administration.
  • Paul Christenson, Jerry High: How Shall We Secure the BI Enterprise?
  • Alan K. Churchill: AJAX and SAS®: Smooth Web Applications.
  • Kevin Cornell, Michael Bretz: "Ins" and "Outs" of Installing and Configuring the SAS® Enterprise BI Server at Blue Cross Blue Shield of Minnesota.
  • Margaret A. Crevar, Tony Brown: Ensuring You Have the Proper Resources for Your SAS®9 Applications.
  • Angela M. Hall, Ben S. Zenick: “Development, Test, Production … Oh My!” Making It to the Land of Oz (also known as a satisfied IT Department) Using SAS®9 and Business Processes.
  • Gregory S. Nelson: Architecting SAS® in a Modern World: Best Practices for Design, Configuration, and Management of SAS®9.
  • Angela M. Hall, Donald J. Henderson, Joe Kelley, John Leveille, J. Philip Miller: Panel Discussion – It's the Server, Stupid.

Tutorials

  • Gregory S. Nelson: Introduction to SAS®9 Business Intelligence—A Tutorial.
  • Ian Whitlock: How to Think through the SAS® DATA Step.
  • Robert Virgile: The Most Important Efficiency Techniques.
  • Chris Olinger, Tim Weeks: The "Ins" and "Outs" of SAS® Data Integration Studio.
  • Bruce F. Gilsen: Tales from the Help Desk 2: Solutions for Common SAS® Mistakes.
  • Angela M. Hall, Brian O. Miles: SAS® Information Map Studio and SAS® Web Report Studio—A Tutorial.
  • Sunil K. Gupta: WHERE vs. IF Statements—Knowing the Difference in How and When to Apply.
  • Angela M. Hall, Brian O. Miles: SAS® Information Delivery Portal—A Tutorial.
  • Eric Rossland: Building Reports with SAS® Web Report Studio.
  • Marge Scerbo: Everyone Needs "a Raise" (Arrays).
  • Ronald Cody: An Introduction to SAS® Character Functions.
  • Frederick E. Pratter: SAS® Enterprise Guide® and Stored Processes.
  • Kevin D. Smith: The Output Delivery System (ODS) from Scratch.
  • Andrew T. Kuligowski: Easy Come, Easy Go—Interactions between the DATA Step and External Files.
  • Kevin D. Smith: PROC TEMPLATE Tables from Scratch.
  • Paul A. Choate, Toby Dunn: The Power of the BY Statement.
  • David L. Cassell: The Basics of the PRX Functions.
  • Andrew H. Karp: A Peek at PROC DOCUMENT.
  • Eric Gebhart: ODS Markup, Tagsets, and Styles! Taming ODS Styles and Tagsets.
  • Jonas V. Bilenas: Using SAS® Dates and Times—A Tutorial.
  • Eric Gebhart: ODS and Office Integration.
  • LeRoy Bessler: Get the Best Out of SAS/GRAPH® and ODS.
  • Vince DelGobbo: Creating Multi-Sheet Excel Workbooks the Easy Way with SAS®.
  • Jonas V. Bilenas: Making Sense of PROC TABULATE (updated for SAS®9).
  • Larry W. Douglass: Learning What You Didn’t Know about Your Data.
  • Brian O. Miles, Ben S. Zenick: Beyond the Basics: Advanced OLAP Techniques.
  • I-Kong Fu: SAS® Enterprise BI Server Integration with Microsoft Office.
  • Russ Lavery: An Animated Guide: PROC TRANSPOSE.
  • Peter W. Eberhardt, Ilene K. Brill: How Do I Look It Up If I Don't Know How to Spell It? An Introduction to SAS® DICTIONARY Tables.
  • Andrew H. Karp: Getting the Most from PROC MEANS.
  • Ray Pass, Michael L. Davis, Craig Dickstein: DATA Step vs. PROC SQL—What’s a Neophyte to Do?
  • Ian Whitlock: Macro Bugs—How to Create, Avoid, and Destroy Them.
  • Dianne Louise Rhodes: Talking to Your RDBMS Using SAS/ACCESS®.
  • Christianna S. Williams: Using PROC FORMAT for Data Validation and Clean-Up.
  • Michael A. Raithel: Process Your SAS® Data Sets Anyway, Anyhow, Anywhere—You Choose with SAS/CONNECT®.
  • Art Carpenter: Advanced PROC REPORT—Doing More in the Compute Block.

Tagungsband

Der Tagungsband der Konferenz ist:

  • SAS Institute Inc. (Herausgeber): Proceedings of the SAS® Global Forum 2007 Conference. SAS Institute Inc., Cary, NC 2007. Online als HTML.

Weblinks