Member Login

E-mail:    Password:  




 TitleDate AddedCompany
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 Introduction to the Graph Template Language2008-03-24 SAS Institute
  In SAS 9.2, the SAS/GRAPH Graph Template Language (GTL) goes production. This system is used by many SAS analytical procedures to create the automatic graphical output within the Output Delivery System (ODS). Now, one can access this same system to create one s own custom graphs or to customize the graphs created by the SAS analytical procedures. This paper helps one understand the basics of GTL, and how one can leverage its features to customize the graphs.

Tags: Graphics Applications, Data Visualization		   
whitepaper The Tangled Web of Google Health - Online Medical Records Could Change Healthcare Receivables Strategies2008-03-20 Kaulkin Ginsberg
  Several prominent web cornerstone firms, like Google and Microsoft, are pushing a system that would allow consumers' access to Personal Health Records. The medical ARM industry could both benefit and suffer by this move. The World Wide Web and the major international corporations that help users organize the way they navigate it, is on the cusp of another transformative moment in the evolution of healthcare. If anyone has picked up a newspaper - or more likely read one online - in the last month, he or she have probably encountered at least one story on Personal Health Records (PHRs) and the controversy surrounding plans by Google, Microsoft, Aetna, and other companies purportedly to give consumers more active control of their healthcare decisions.   
whitepaper Implementing a Transaction Hub MDM Pattern Using IBM InfoSphere Master Data Management Server2008-03-20 IBM
  Master data such as customers, products, accounts or locations is the foundation of critical business decisions and is used in important business processes. Today, many companies have their master data scattered and inconsistent across numerous front- and back-office systems and lack a consistent, complete, and accurate enterprise view of this data. This inefficient handling of data costs businesses millions of dollar in lost revenue. Master Data Management (MDM) solves these issues and improves revenue by enabling cross- and up-sell opportunities. Implementing a MDM solution successfully requires a well-designed MDM system as a core component of the solution.

Tags: Application Servers, Gateways - Hubs		   
whitepaper Adding Data Mining Support to SPARQL Via Statistical Relational Learning Methods2008-03-17 University of Zurich
  Exploiting the complex structure of relational data enables to build better models by taking into account the additional information provided by the links between objects. The paper extends this idea to the Semantic Web by introducing the novel SPARQL-ML approach to perform data mining for Semantic Web data. The approach is based on traditional SPARQL and statistical relational learning methods, such as Relational Probability Trees and Relational Bayesian Classifiers. The paper analyzes the approach thoroughly conducting three sets of experiments on synthetic as well as real-world data sets. The analytical results show that the approach can be used for any Semantic Web data set to perform instance-based learning and classification.

Tags: Learning Management Systems		   
whitepaper Symantec Deploys NetBackup PureDisk in EMEA2008-03-15 Symantec
  The Symantec Information Technology group completed the deployment of the NetBackup PureDisk Remote Office Edition to servers located in remote offices across EMEA (Europe, Middle East, and Asia) in the third quarter of 2007. The implementation of NetBackup PureDisk Remote Office Edition is part of IT's overall Eating Our Own Cooking (EOOC) program. The EMEA NetBackup PureDisk deployment is part of this program.

Tags: Data Recovery - Security, Remote Access - RA Servers		   
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 Metadata Promotion in SAS 9.22008-03-14 SAS Institute
  Promotion of metadata content is typically used to support movement across Development, Test, and Production environments. In SAS 9.1.3, the paper provided tools for full repository promotion and partial promotion. In SAS 9.2, these tools have been enhanced to streamline functionality and provide batch interfaces. SAS Management Console will continue to provide interfaces for full repository replication and partial promotion via the export/import framework that exists in SAS 9.1.3 with the BI Manager plug-in. In SAS 9.2, the authors have implemented a batch interface for the partial promotion framework that will allow one to create a schedulable and repeatable process for moving a set of metadata content across ones environments.   
whitepaper SAS In-Database Processing With Teradata: An Overview of Foundation Technology2008-03-14 SAS Institute
  Customer requirements to understand and act on critical business issues such as fraud detection, credit risk, price optimization, warranty analysis, and customer retention demand efficient handling and utilization of Business Intelligence (BI), data integration, and analytic components. The scope of analytic computations and the volume of data and data sources are growing at an unprecedented pace. Enterprises need flexibility to manage the analytical life cycle, from discovery to the execution of large numbers of new and existing analytic models that address functional and industry-specific business issues in a secure, scalable manner. In October 2007, SAS and Teradata Corporation announced a strategic partnership that will enable customers to exploit the best of both companies' core strengths.

Tags: Business Intelligence - Data Warehousing