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 TitleDate AddedCompany
whitepaper Extreme Business Warehousing: 60 Terabytes and Beyond2008-04-01 IBM
  This paper covers the design criteria and implementation of an SAP NetWeaver Business Intelligence (SAP BI) system of extreme size, under massive online load, and with very demanding availability requirements. The proof of concept documented here is based on real customer data, business processes and business needs. It shows the how the application, infrastructure and middleware can scale-out to meet the most extreme business requirements, therefore the name "Extreme Business Warehousing".   
whitepaper What's New in SAS Web Report Studio 4.22008-03-24 SAS Institute
  Web Report Studio is a web-based reporting tool with many capabilities added over the course of three major releases. The upcoming release adds many new features driven by requests from users. This paper organizes the key capabilities in Web Report Studio 4.2 into categories. Virtually all features affect the user interface, and the first section describes key UI enhancements that are designed to improve the user experience. New prompting makes reporting more flexible for consumers and can minimize the number of reports needed. OLAP cubes enable fast navigation of the data, and enhancements will get the specific rollups one need. Visualization helps one understand report information quickly, and Web Report Studio 4.2 includes a number of graph enhancements, such as annotated reference lines.

Tags: Business Intelligence - Data Warehousing, Web Reporting
  
whitepaper Controlling OLAP Applications End to End2008-03-24 SAS Institute
  In SAS 9.2, there are several new features that help administrators to secure and control the use of OLAP Cubes in a reporting environment. This paper highlights the following new and existing features: ability to include or exclude members from aggregated values (parent values), member Level Security user interface, subsetting report data using Information Map Filters and roles controlling report functionality.

Tags: Database Management, Business Intelligence - Data Warehousing
  
whitepaper What's New in SAS OLAP Cube Studio 4.22008-03-24 SAS Institute
  With the release of SAS 9.2, new functionality and enhancements have been added to SAS OLAP Cube Studio 4.2. New features include the ability to: update a cube (incremental update), view an input data set within SAS OLAP Cube Studio, view a cube to validate the build process, set cube security in SAS OLAP Cube Studio including a UI for member level security and automatically generate suggested time hierarchies based on a single date column. This paper will highlight and demonstrate the new functionality and the benefits that the user will have with SAS OLAP Cube Studio 4.2.

Tags: Business Intelligence - Data Warehousing
  
whitepaper Migrating Your SAS Applications to SAS 9.1.3 and Beyond2008-03-14 SAS Institute
  One has heard about the new features of SAS9, but one has several mission critical SAS 8 applications written with products that are no longer being talked about (i.e., SAS/IntrNet and SAS/AF software). One would like to be able to move these applications forward to SAS 9 so that they can work with the full-featured Business Intelligence, Data Integration, and a multitude of analytical solutions that are part of the SAS 9.1.3 Intelligence Platform. This paper describes the steps to do this migration along with some tips and tricks to ensure that ones SAS 8 application behaves nicely in SAS 9.

Tags: Upgrades and Migration
  
whitepaper Avoid Growing Pains: New Cube Update Features You Should Know About2008-03-12 SAS Institute
  After a SAS OLAP cube is created, it is possible to update the data for the cube without completely recreating it. The SAS 9.2 OLAP Server enables one to incrementally update SAS OLAP cubes. An incremental update involves adding cell data and members to an existing SAS OLAP cube. Incremental updates of a cube are generally faster than rebuilding the cube from the combined set of input data and update data. There are several decisions one must make before one creates the cube that will make the incremental update process run smoother. One will need to decide how to structure the cube and the input data as well as choose a method of update.

Tags: Database Management, Business Intelligence - Data Warehousing
  
whitepaper Best Practices for SAS Business Intelligence Administrators: Using the Configuration Troubleshooter to Keep SAS Solutions and SAS BI Applications Running Smoothly2008-03-11 SAS Institute
  There is a tool that will help pinpoint access problems, check that security has been implemented correctly, debug WebDAV configuration issues, monitor the health of the Web application server, and more for one's SAS Business Intelligence installation. It will even allow one to create checks of their own, comparing configuration files to standards that one defines. This tool is the Configuration Troubleshooter, and it is invaluable for creating and maintaining a smooth-running BI environment. This presentation will teach how to use the Configuration Troubleshooter for maintenance and troubleshooting. Using case studies collected from SAS Technical Support, the paper will step through the process of problem discovery, investigation, and resolution using this tool.

Tags: Best Practices
  
whitepaper It's 9:00am - Do You Know Where Your Critical Talent Is?: Retention Analytics for Human Capital Management2008-02-18 SAS Institute
  Employee retention is an increasingly serious issue in many business sectors. Understanding which factors cause employees to leave and which actions retain them is an important Business Intelligence application. This paper demonstrates analytic methods to address this problem. Data mining and predictive modeling can be used to improve retention of critical employees. The business user can use the retention analysis to generate reports that show how the loss of critical skills would affect an organization. Reports identify job groups, geographical regions, or organizational areas that have higher risk for employee voluntary termination. Additionally, the influential drivers to high-risk groups are identified to suggest the best course of action to reduce the risk.

Tags: HR, Human Capital Management
  
whitepaper Two-Stage Variable Clustering for Large Data Sets2008-02-15 SAS Institute
  In data mining, principal component analysis is a popular dimension reduction technique. It also provides a good remedy for the multicollinearity problem, but its interpretation of input space is not as good. To overcome the interpretation problem, principal components (cluster components) are obtained through variable clustering, which was implemented with PROC VARCLUS. The procedure uses oblique principal components analysis and binary iterative splits for variable clustering, and it provides non-orthogonal principal components. Even if this procedure sacrifices the orthogonal property among principal components, it provides good interpretable principal components and well-explained cluster structures of variables. However, the PROC VARCLUS implementation is inefficient to deal with high-dimensional data. This paper introduces the two-stage, variable clustering technique for large data sets.   
whitepaper Business Activity Monitoring: Process Control for the Enterprise2008-02-12 SL Corporation
  As the nature of real-time information has evolved, the requirements for analysis and visualization of data has become more complex and sophisticated. There are key lessons to be learned from the process control industry's decades of experience in dealing with real-time mission-critical data.

This white paper discusses how lessons can be taken from traditional process monitoring applications and applied in today's more complex multi-dimensional environments in order to deliver more effective and successful business activity monitoring solutions for the enterprise.

Tags: Data Quality, Data Visualization, Data Center, High Performance Computing, Knowledge and Data Management, Decision Support - DW Front End, Business Intelligence - Data Warehousing