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Title Date Added Company

Information Architecture Essentials, Part 5: Business Intelligence in Your Information Architecture 2008-04-01 IBM

This series explores a variety of elements that create a successful information architecture design. As one manages and organizes data and content, work with distributed data mining, and analyze and present information to users, there is a key element that one can't let go untapped: business intelligence. How is one using all that data to build a better business from within? Is one getting the right information to the right people and in a format they can understand? If the first response is, "Um, uh&," then it's a good bet that the design is suffering from what some experts call an information paradox - an excess of information that has little usefulness.

Tags: Data Mining - Analysis, Business Intelligence - Data Warehousing

Enterprise Strategy Group: Data Management Challenges in the Internet Computing Era 2008-04-01 Brocade Communications Systems

Ever feel like you're storing everything and managing nothing? As data evolves, so must your file management skills. You need new tools to help you keep up. Thankfully, Brocade File Solutions for Windows File Administrators can clear the clutter. With Brocade File Solutions, you'll consolidate, automate, and manage your files for optimal organization, giving users access to the files they need and keeping you in control. Learn how the data center is changing with the free Enterprise Strategy Group whitepaper, "Data Management Challenges in the Internet Computing Era." Download it now!

Tags: Storage Management, Business Intelligence - Data Warehousing, Data Recovery - Security, Virtualization

BEA AquaLogic Pathways 1.5: Extend Knowledge Discovery Everywhere 2008-04-01 BEA Systems

BEA AquaLogic Pathways is a knowledge and expertise discovery system that provides personal and collaborative management of enterprise content. It is used to discover and classify information stored in any corporate repository-from Documentum to Microsoft Exchange and SharePoint to Lotus Notes or Windows file systems. AquaLogic Pathways helps users discover information and expertise based on how information is actually used. Put simply, the system combines search, content tagging, bookmarking, and activity analytics, delivering a better way to discover information and experts.

Tags: Collaboration Tools

Datagate: The Next Inevitable Corporate Disaster? 2008-04-01 McAfee

Is data leakage the next wave of impending disaster that could sweep the global enterprise landscape? In a 2007 study conducted by Datamonitor, more than 60 percent of enterprises surveyed have experienced data leakage within the last year, and 33 percent believe it could put them out of business. Data leakage has the potential to change the face of business and the global economy if it continues to go unchecked. Survey respondents see the primary threat coming from inside rather than outside the organization, although the vast majority recognize that leakage occurs to some extent on both sides of the firewall. Download this paper to learn where to focus your data protection efforts, including increasing overall awareness of risk, implementing controls and preventive technologies, applying best practices, enforcement of security policies and procedures, and safeguarding key assets.

Tags: Best Practices, Security Management, Data Recovery - Security

Introduction to the Graph Template Language 2008-03-24 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

Implementing a Transaction Hub MDM Pattern Using IBM InfoSphere Master Data Management Server 2008-03-20 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

The Tangled Web of Google Health - Online Medical Records Could Change Healthcare Receivables Strategies 2008-03-20 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.

SAS In-Database Processing With Teradata: An Overview of Foundation Technology 2008-03-14 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

Metadata Promotion in SAS 9.2 2008-03-14 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.

Introducing the SAS Code Analyzer 2008-03-13 SAS Institute

This paper introduces the PROC SCAPROC procedure, the SAS Code Analyzer that is new in Release 9.2 of Base SAS Software. The paper examines the advantages of using the procedure, its syntax and phases of execution, and the output that the procedure can produce. If one is responsible for maintaining a large legacy SAS application, one is probably interested in finding ways to improve the performance of the application. This is especially true if the application makes many passes through the same data sets, and one knows that those passes could potentially be run in parallel. However, it can be difficult and tedious to convert an application to run parallel steps, even when one has a good understanding of the application.

Tags: Programming Languages, Application Development

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Title	Date Added	Company
Information Architecture Essentials, Part 5: Business Intelligence in Your Information Architecture	2008-04-01	IBM
This series explores a variety of elements that create a successful information architecture design. As one manages and organizes data and content, work with distributed data mining, and analyze and present information to users, there is a key element that one can't let go untapped: business intelligence. How is one using all that data to build a better business from within? Is one getting the right information to the right people and in a format they can understand? If the first response is, "Um, uh&," then it's a good bet that the design is suffering from what some experts call an information paradox - an excess of information that has little usefulness. Tags: Data Mining - Analysis, Business Intelligence - Data Warehousing
Enterprise Strategy Group: Data Management Challenges in the Internet Computing Era	2008-04-01	Brocade Communications Systems
Ever feel like you're storing everything and managing nothing? As data evolves, so must your file management skills. You need new tools to help you keep up. Thankfully, Brocade File Solutions for Windows File Administrators can clear the clutter. With Brocade File Solutions, you'll consolidate, automate, and manage your files for optimal organization, giving users access to the files they need and keeping you in control. Learn how the data center is changing with the free Enterprise Strategy Group whitepaper, "Data Management Challenges in the Internet Computing Era." Download it now! Tags: Storage Management, Business Intelligence - Data Warehousing, Data Recovery - Security, Virtualization
BEA AquaLogic Pathways 1.5: Extend Knowledge Discovery Everywhere	2008-04-01	BEA Systems
BEA AquaLogic Pathways is a knowledge and expertise discovery system that provides personal and collaborative management of enterprise content. It is used to discover and classify information stored in any corporate repository-from Documentum to Microsoft Exchange and SharePoint to Lotus Notes or Windows file systems. AquaLogic Pathways helps users discover information and expertise based on how information is actually used. Put simply, the system combines search, content tagging, bookmarking, and activity analytics, delivering a better way to discover information and experts. Tags: Collaboration Tools
Datagate: The Next Inevitable Corporate Disaster?	2008-04-01	McAfee
Is data leakage the next wave of impending disaster that could sweep the global enterprise landscape? In a 2007 study conducted by Datamonitor, more than 60 percent of enterprises surveyed have experienced data leakage within the last year, and 33 percent believe it could put them out of business. Data leakage has the potential to change the face of business and the global economy if it continues to go unchecked. Survey respondents see the primary threat coming from inside rather than outside the organization, although the vast majority recognize that leakage occurs to some extent on both sides of the firewall. Download this paper to learn where to focus your data protection efforts, including increasing overall awareness of risk, implementing controls and preventive technologies, applying best practices, enforcement of security policies and procedures, and safeguarding key assets. Tags: Best Practices, Security Management, Data Recovery - Security
Introduction to the Graph Template Language	2008-03-24	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
Implementing a Transaction Hub MDM Pattern Using IBM InfoSphere Master Data Management Server	2008-03-20	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
The Tangled Web of Google Health - Online Medical Records Could Change Healthcare Receivables Strategies	2008-03-20	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.
SAS In-Database Processing With Teradata: An Overview of Foundation Technology	2008-03-14	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
Metadata Promotion in SAS 9.2	2008-03-14	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.
Introducing the SAS Code Analyzer	2008-03-13	SAS Institute
This paper introduces the PROC SCAPROC procedure, the SAS Code Analyzer that is new in Release 9.2 of Base SAS Software. The paper examines the advantages of using the procedure, its syntax and phases of execution, and the output that the procedure can produce. If one is responsible for maintaining a large legacy SAS application, one is probably interested in finding ways to improve the performance of the application. This is especially true if the application makes many passes through the same data sets, and one knows that those passes could potentially be run in parallel. However, it can be difficult and tedious to convert an application to run parallel steps, even when one has a good understanding of the application. Tags: Programming Languages, Application Development