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Title Date Added Company

The Information Perspective of SOA Design, Part 7: The Execution Approach for the Data Quality Analysis Pattern in SOA 2008-05-08 IBM

This is the seventh paper in a series called the "The Information Aspect of SOA Design." The purpose of this paper is to demonstrate to an architect community the execution approach of detailed data quality analysis in the context of an SOA environment. This paper focuses on the implementation of data quality analysis regardless of the specific technology in use, and will be followed by a related paper that describes in more detail how the related IBM products (WebSphere Information Analyzer) can be used in this context.

Tags: Web Services, Service-Oriented Architecture

The Information Perspective of SOA Design, Part 6: The Value of Applying the Data Quality Analysis Pattern in SOA 2008-04-17 IBM

For SOA services to be successful and reusable, it is important that the data they expose is of acceptable quality for all the consumers. Exposing quality data is necessary in any SOA initiative. Whether it is application services being exposed or a simple generated data query service, the resulting data must be accurate and appropriate to the business context to be of any value. Data profiling and, in particular, quality analysis are traditional components of enterprise data architecture.

Tags: Web Services, Service-Oriented Architecture

Comprehensive Data Quality With Oracle Data Integrator 2007-12-01 Oracle

Poor-quality data afflicts almost every company of moderate size and operational complexity. In fact, inconsistent, inaccurate, incomplete, and out-of-date data are often the root cause of expensive business problems such as operational inefficiencies, faulty analysis for business optimization, unrealized economies of scale, and dissatisfied customers. Savvy IT managers can solve a host of these and other business-level problems by committing to a program of comprehensive data quality. Oracle Data Integrator offers a comprehensive data quality solution to meet any data quality challenge for any type of global data with a single, well-integrated technology package.

Keeping Your SQL Server Databases Defragmented with Diskeeper 2007-11-15 Diskeeper

How can you eliminate your SQL Server databases' I/O bottlenecks, data gridlock, and bandwidth clogs? This white paper explains how fragmentation is responsible for many of these lags, as well as the after-effects of building onto a fragmented database and how that database can be restored to optimum speeds. The outline of this article also gives you a quick, painless solution that will automatically defrag and continually protect you system in real time.

Read this paper from SQL-Server-Performance.com and see how defragmentation can accelerate the data flow and performance on your servers.

Tags: High Performance Computing, Database Management, Data Center, Hard Drives, Storage Management

Oracle Database 11g: New Features Overview 2007-08-07 Oracle

This whitepaper provides readers with an overview of the broad array of new features and enhancements in Oracle Database 11g. By extending Oracle's unique ability to deliver the benefits of grid computing, Oracle Database 11g enables companies to improve user services levels, reduce downtime and make more-efficient use of IT resources whilst increasing the performance, scalability and security of business applications.

Tags: Database Management, Business Intelligence - Data Warehousing

Reducing Data Center Energy Consumption with Wet Side Economizers 2007-05-01 Intel

Intel IT is using wet side economizers to achieve high levels of cooling system efficiency, reducing energy consumption and cost.

Tags: Database Management, Data Center, Business Intelligence - Data Warehousing, Cost Control - Risk Mgmt.

Effectively Managing Master Data to Help Improve Information Quality 2007-01-24 12:09:02 Hyperion

See how Deloitte Consulting and Hyperion Solutions have teamed together to provide comprehensive Master Data Management (MDM) solutions and services for those organizations close to making business intelligence and/or data management solutions investments. In this compelling two-page executive brief, executives gain insight into how companies can improve information quality and business performance management by implementing programs to standardize, improve, and manage enterprise master data nationally or globally.

Download this Executive Summary to learn more.

Master Data Management: Creating a Single View of the Business 2007-01-24 12:10:11 Hyperion

Seriously considering a business intelligence solution? Your business intelligence solution is only as good as the data supporting it. This research report from the Business Intelligence Network (b-eye) sets forth a concise definition of the basic terms and technologies to get you started, plus dispels common misconceptions in an easily understood strategy and architecture to which you can map future Master Data Management (MDM) projects.

Download this in-depth report to learn more (Executive Summary included).

Getting Started with Master Data Management 2007-03-23 15:03:06 Hyperion

What is Master Data Management (MDM)? How can it be used to drive the business, and why is it important for companies to understand and successfully manage their master data? Further, what are the challenges that come with implementing an MDM program, and what are the key process drivers to apply in order to help achieve the desired results from an MDM implementation? Deloitte Consulting answers these questions and more in this insightful white paper, brought to you by Hyperion.

The Impact of the newly emerging field of Financial Data Quality Management (FDQM) on Group Reporting and Performance Management Processes 2007-01-24 01:00:28 Hyperion

Data quality management could be regarded as the less glamorous end of the Reporting Supply Chain (RSC). After all, most of the attention and interest are lavished on the latest portal, reporting tool or dashboard. Yet, mismanagement or neglect of underlying balance information or interfaces can place the integrity of the whole process in jeopardy. In recent years, financial reporting processes have become intertwined with other key management processes such as budgeting, planning, forecasting, scorecarding and analytics to form a broader performance management platform sharing common data structures.

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Title	Date Added	Company
The Information Perspective of SOA Design, Part 7: The Execution Approach for the Data Quality Analysis Pattern in SOA	2008-05-08	IBM
This is the seventh paper in a series called the "The Information Aspect of SOA Design." The purpose of this paper is to demonstrate to an architect community the execution approach of detailed data quality analysis in the context of an SOA environment. This paper focuses on the implementation of data quality analysis regardless of the specific technology in use, and will be followed by a related paper that describes in more detail how the related IBM products (WebSphere Information Analyzer) can be used in this context. Tags: Web Services, Service-Oriented Architecture
The Information Perspective of SOA Design, Part 6: The Value of Applying the Data Quality Analysis Pattern in SOA	2008-04-17	IBM
For SOA services to be successful and reusable, it is important that the data they expose is of acceptable quality for all the consumers. Exposing quality data is necessary in any SOA initiative. Whether it is application services being exposed or a simple generated data query service, the resulting data must be accurate and appropriate to the business context to be of any value. Data profiling and, in particular, quality analysis are traditional components of enterprise data architecture. Tags: Web Services, Service-Oriented Architecture
Comprehensive Data Quality With Oracle Data Integrator	2007-12-01	Oracle
Poor-quality data afflicts almost every company of moderate size and operational complexity. In fact, inconsistent, inaccurate, incomplete, and out-of-date data are often the root cause of expensive business problems such as operational inefficiencies, faulty analysis for business optimization, unrealized economies of scale, and dissatisfied customers. Savvy IT managers can solve a host of these and other business-level problems by committing to a program of comprehensive data quality. Oracle Data Integrator offers a comprehensive data quality solution to meet any data quality challenge for any type of global data with a single, well-integrated technology package.
Keeping Your SQL Server Databases Defragmented with Diskeeper	2007-11-15	Diskeeper
How can you eliminate your SQL Server databases' I/O bottlenecks, data gridlock, and bandwidth clogs? This white paper explains how fragmentation is responsible for many of these lags, as well as the after-effects of building onto a fragmented database and how that database can be restored to optimum speeds. The outline of this article also gives you a quick, painless solution that will automatically defrag and continually protect you system in real time. Read this paper from SQL-Server-Performance.com and see how defragmentation can accelerate the data flow and performance on your servers. Tags: High Performance Computing, Database Management, Data Center, Hard Drives, Storage Management
Oracle Database 11g: New Features Overview	2007-08-07	Oracle
This whitepaper provides readers with an overview of the broad array of new features and enhancements in Oracle Database 11g. By extending Oracle's unique ability to deliver the benefits of grid computing, Oracle Database 11g enables companies to improve user services levels, reduce downtime and make more-efficient use of IT resources whilst increasing the performance, scalability and security of business applications. Tags: Database Management, Business Intelligence - Data Warehousing
Reducing Data Center Energy Consumption with Wet Side Economizers	2007-05-01	Intel
Intel IT is using wet side economizers to achieve high levels of cooling system efficiency, reducing energy consumption and cost. Tags: Database Management, Data Center, Business Intelligence - Data Warehousing, Cost Control - Risk Mgmt.
Effectively Managing Master Data to Help Improve Information Quality	2007-01-24 12:09:02	Hyperion
See how Deloitte Consulting and Hyperion Solutions have teamed together to provide comprehensive Master Data Management (MDM) solutions and services for those organizations close to making business intelligence and/or data management solutions investments. In this compelling two-page executive brief, executives gain insight into how companies can improve information quality and business performance management by implementing programs to standardize, improve, and manage enterprise master data nationally or globally. Download this Executive Summary to learn more.
Master Data Management: Creating a Single View of the Business	2007-01-24 12:10:11	Hyperion
Seriously considering a business intelligence solution? Your business intelligence solution is only as good as the data supporting it. This research report from the Business Intelligence Network (b-eye) sets forth a concise definition of the basic terms and technologies to get you started, plus dispels common misconceptions in an easily understood strategy and architecture to which you can map future Master Data Management (MDM) projects. Download this in-depth report to learn more (Executive Summary included).
Getting Started with Master Data Management	2007-03-23 15:03:06	Hyperion
What is Master Data Management (MDM)? How can it be used to drive the business, and why is it important for companies to understand and successfully manage their master data? Further, what are the challenges that come with implementing an MDM program, and what are the key process drivers to apply in order to help achieve the desired results from an MDM implementation? Deloitte Consulting answers these questions and more in this insightful white paper, brought to you by Hyperion.
The Impact of the newly emerging field of Financial Data Quality Management (FDQM) on Group Reporting and Performance Management Processes	2007-01-24 01:00:28	Hyperion
Data quality management could be regarded as the less glamorous end of the Reporting Supply Chain (RSC). After all, most of the attention and interest are lavished on the latest portal, reporting tool or dashboard. Yet, mismanagement or neglect of underlying balance information or interfaces can place the integrity of the whole process in jeopardy. In recent years, financial reporting processes have become intertwined with other key management processes such as budgeting, planning, forecasting, scorecarding and analytics to form a broader performance management platform sharing common data structures.