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Title Date Added Company

Migrating Your SAS Applications to SAS 9.1.3 and Beyond 2008-03-14 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

Avoid Growing Pains: New Cube Update Features You Should Know About 2008-03-12 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

Finding Your Organization's Critical Success Factors 2008-03-12 SAS Institute

This webcast is designed to help organizations, from large multi-nationals to those with fewer than 200 staff, who want to implement winning KPIs. The presenter of this webcast will explain how organizations should approach finding their critical success factors. This exercise can be carried out in a relatively short period of time, will have a profound impact in the performance measures to choose, conveying to staff what really is important, and help streamline reporting. The presenter will show the practical steps that can be carried out by an in-house team, and why carrying out this exercise may well be the major breakthrough in turning the organization from good to great.

Best Practices for SAS Business Intelligence Administrators: Using the Configuration Troubleshooter to Keep SAS Solutions and SAS BI Applications Running Smoothly 2008-03-11 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

It's 9:00am - Do You Know Where Your Critical Talent Is?: Retention Analytics for Human Capital Management 2008-02-18 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

Two-Stage Variable Clustering for Large Data Sets 2008-02-15 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.

MSDN Webcast: geekSpeak Extending SQL Server Integration Services With Reza Madani (Level 100) 2008-02-13 Microsoft Tips

The presenter of this webcast shows the tips for extending Microsoft SQL Server Integration Services (SSIS) with scripts. He also takes the questions about the most effective use of this powerful tool for implementing Extract, Transform, and Load (ETL) processes in Business Intelligence (BI) solutions.

Tags: Database Management, Business Intelligence - Data Warehousing

Business Activity Monitoring: Process Control for the Enterprise 2008-02-12 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

Medtronic, Inc. Identifies Key Sales Priorities and Drives Executive Alignment 2008-02-01 Oracle

Medtronic, Inc. wanted to increase sales productivity and effectiveness across company's seven principal United States business divisions and provide simplified sales processes and support systems to allow Medtronic to operate as "One company" and leverage best practices. The challenge was to help build management consensus on key sales priorities and the need for common support systems and institute a comprehensive approach to business intelligence that provides all sales professionals with better, more relevant, real-time information on specific performance metrics to increase business insight and enable key action. Medtronic worked with Oracle Insight to form a Medtronic Sales Field Working Group with senior business representatives from all sales divisions to provide input and validation for all Insight findings.

Tags: Sales - Marketing

Intrusion Detection Using Data Mining Along Fuzzy Logic and Genetic Algorithms 2008-02-01 Nagarjuna University

Intrusion Detection is one of the important area of research. The work discussed in this paper has explored the possibility of integrating the fuzzy logic with Data Mining methods using Genetic Algorithms for intrusion detection. The reasons for introducing fuzzy logic is two fold, the first being the involvement of many quantitative features where there is no separation between normal operations and anomalies. Thus fuzzy association rules can be mined to find the abstract correlation among different security features. An architecture for Intrusion Detection methods has been proposed by using Data Mining algorithms to mine fuzzy association rules by extracting the best possible rules using Genetic Algorithms.

Tags: Security Tools, Intrusion Detection Systems

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Title	Date Added	Company
Migrating Your SAS Applications to SAS 9.1.3 and Beyond	2008-03-14	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
Avoid Growing Pains: New Cube Update Features You Should Know About	2008-03-12	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
Finding Your Organization's Critical Success Factors	2008-03-12	SAS Institute
This webcast is designed to help organizations, from large multi-nationals to those with fewer than 200 staff, who want to implement winning KPIs. The presenter of this webcast will explain how organizations should approach finding their critical success factors. This exercise can be carried out in a relatively short period of time, will have a profound impact in the performance measures to choose, conveying to staff what really is important, and help streamline reporting. The presenter will show the practical steps that can be carried out by an in-house team, and why carrying out this exercise may well be the major breakthrough in turning the organization from good to great.
Best Practices for SAS Business Intelligence Administrators: Using the Configuration Troubleshooter to Keep SAS Solutions and SAS BI Applications Running Smoothly	2008-03-11	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
It's 9:00am - Do You Know Where Your Critical Talent Is?: Retention Analytics for Human Capital Management	2008-02-18	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
Two-Stage Variable Clustering for Large Data Sets	2008-02-15	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.
MSDN Webcast: geekSpeak Extending SQL Server Integration Services With Reza Madani (Level 100)	2008-02-13	Microsoft Tips
The presenter of this webcast shows the tips for extending Microsoft SQL Server Integration Services (SSIS) with scripts. He also takes the questions about the most effective use of this powerful tool for implementing Extract, Transform, and Load (ETL) processes in Business Intelligence (BI) solutions. Tags: Database Management, Business Intelligence - Data Warehousing
Business Activity Monitoring: Process Control for the Enterprise	2008-02-12	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
Medtronic, Inc. Identifies Key Sales Priorities and Drives Executive Alignment	2008-02-01	Oracle
Medtronic, Inc. wanted to increase sales productivity and effectiveness across company's seven principal United States business divisions and provide simplified sales processes and support systems to allow Medtronic to operate as "One company" and leverage best practices. The challenge was to help build management consensus on key sales priorities and the need for common support systems and institute a comprehensive approach to business intelligence that provides all sales professionals with better, more relevant, real-time information on specific performance metrics to increase business insight and enable key action. Medtronic worked with Oracle Insight to form a Medtronic Sales Field Working Group with senior business representatives from all sales divisions to provide input and validation for all Insight findings. Tags: Sales - Marketing
Intrusion Detection Using Data Mining Along Fuzzy Logic and Genetic Algorithms	2008-02-01	Nagarjuna University
Intrusion Detection is one of the important area of research. The work discussed in this paper has explored the possibility of integrating the fuzzy logic with Data Mining methods using Genetic Algorithms for intrusion detection. The reasons for introducing fuzzy logic is two fold, the first being the involvement of many quantitative features where there is no separation between normal operations and anomalies. Thus fuzzy association rules can be mined to find the abstract correlation among different security features. An architecture for Intrusion Detection methods has been proposed by using Data Mining algorithms to mine fuzzy association rules by extracting the best possible rules using Genetic Algorithms. Tags: Security Tools, Intrusion Detection Systems