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Title Date Added Company

Getting Started with Master Data Management 2007-01-24 11:58:58 Hyperion

So what is Master Data Management (MDM)? How it 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 in this 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 2007-04-10 14:59:40 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.

HP Reference Configuration for Business Intelligence: HP Integrity Superdome Servers With 64 Intel Itanium 2 Processors and Microsoft SQL Server 2005 2006-12-27 01:00:55 Hewlett-Packard

Organizations are consolidating Business Intelligence (BI) applications from multiple servers, and the number of source systems is growing. Many solutions based on 32-bit architecture are reaching their limits. This white paper describes a reference 64-bit hardware and software configuration to support a high-end data warehouse/OLAP solution based on the scalable power of HP Integrity Superdome systems, enterprise-class HP StorageWorks XP12000 Disk Array storage and Microsoft SQL Server 2005.

Keeping Up With the Times 2006-11-08 01:00:18 Oracle

This paper provides an approach to implementing one of the more demanding types of transformations: the dreaded Type 2 Slowly Changing Dimension (SCD). Although this technique may be applicable to other type of transformations, it is particularly useful for the Type 2 SCD. The focus of this paper is the Type 2 SCD, as it is the most effective and most commonly used variety. The Type 2 SCD provides an approach for completely and elegantly tracking history, while conforming to the dimensional model for optimal performance. Although Oracle9i Warehouse Builder (OWB) does not have "Built-in" support for SCD transformations, one can easily implement them within the OWB framework.

Deploying Business Intelligence Solutions on Microsoft SQL Server 2005 and HP Integrity Servers 2006-12-27 01:00:55 Hewlett-Packard

This white paper is the first in a planned series of related BI-focused papers. The paper presents an example hardware and software configuration that demonstrates deploying the Data Warehouse and Data Transformation Services (DTS) and/or Extract Transform and Load (ETL) DTS/ETL components of a mid-range BI solution, capitalizing on the scalable power of HP 64-bit Integrity systems and Microsoft SQL Server 2005.

Oracle Warehouse Builder 10g Release 2: Implementing Advanced Data Warehouse Concepts at Elizabeth Arden Inc. 2006-12-18 01:00:25 Oracle

Inventive use of an ETL tool, forward looking data modeling and embedding smarts in data structures allows Elizabeth Arden to achieve two goals for their business. First, the IT staff can focus on their core capabilities of building and maintaining systems, not on creating reports for end users. Second, business users get better information quicker allowing these users to again do their job, run the business. With Warehouse Builder Elizabeth Arden has found a tool that it can use to implement these concepts to get the maximum benefits for the company.

Enterprise Data Services White Paper: A Declarative Approach for Defining Services 2006-09-08 01:00:28 BEA Systems

As organizations adopt a Service-Oriented Architecture (SOA) they are discovering that service-enabling data is one of the most pressing tasks. Download this informative white paper from BEA to learn about the importance of a data services layer and how the BEA AquaLogic Data Services Platform automates and minimizes the work of service-enabling data.

Driving Information-led Business Innovation with IBM Information Server 2006-11-04 01:00:15 IBM

IBM Information Server is a revolutionary new software platform that helps companies derive more value from the complex, heterogeneous information spread across their systems. It enables companies to integrate disparate data and deliver trusted information wherever and whenever. Learn more about its full capabilities in this paper.

Money, Time and Knowledge: The Advantages of Building Dependent Data Marts 2006-08-30 01:00:13 SAS Institute

One of the questions the author is most frequently asked by clients is which architecture strategy is best: independent or dependent data marts. Although both solutions have their advantages, the author usually recommends a Dependent Data Mart (DDM) solution. He recommends DDMs because they tend to provide the best solutions to the main requirements the clients have for data marts in general: they provide a better solution to integration problems; they provide easier maintenance through the ability to identify data errors more quickly; and they provide a better, wider view of the organization.

Answers at the Speed of Thought: Providing Real Time Information through Data Warehousing 2006-08-29 09:46:57 Netezza

Any time delay between a command initiation and when its effects begin is a threat in today's world, especially as speed is vital to stay ahead of fast-moving competitors. This time delay, known as latency, can plague the entire data warehousing experience. Data may take hours, or even days, to update - causing stale and inaccurate analysis.

This whitepaper will look at a family of data warehousing appliances, and how they are built to eliminate latency, allowing your users to get up-to-date information immediately, rather than using outdated data. In addition, an explanation of how and why these appliances can process data faster, allowing for faster queries and backups.

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Title	Date Added	Company
Getting Started with Master Data Management	2007-01-24 11:58:58	Hyperion
So what is Master Data Management (MDM)? How it 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 in this 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	2007-04-10 14:59:40	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.
HP Reference Configuration for Business Intelligence: HP Integrity Superdome Servers With 64 Intel Itanium 2 Processors and Microsoft SQL Server 2005	2006-12-27 01:00:55	Hewlett-Packard
Organizations are consolidating Business Intelligence (BI) applications from multiple servers, and the number of source systems is growing. Many solutions based on 32-bit architecture are reaching their limits. This white paper describes a reference 64-bit hardware and software configuration to support a high-end data warehouse/OLAP solution based on the scalable power of HP Integrity Superdome systems, enterprise-class HP StorageWorks XP12000 Disk Array storage and Microsoft SQL Server 2005.
Keeping Up With the Times	2006-11-08 01:00:18	Oracle
This paper provides an approach to implementing one of the more demanding types of transformations: the dreaded Type 2 Slowly Changing Dimension (SCD). Although this technique may be applicable to other type of transformations, it is particularly useful for the Type 2 SCD. The focus of this paper is the Type 2 SCD, as it is the most effective and most commonly used variety. The Type 2 SCD provides an approach for completely and elegantly tracking history, while conforming to the dimensional model for optimal performance. Although Oracle9i Warehouse Builder (OWB) does not have "Built-in" support for SCD transformations, one can easily implement them within the OWB framework.
Deploying Business Intelligence Solutions on Microsoft SQL Server 2005 and HP Integrity Servers	2006-12-27 01:00:55	Hewlett-Packard
This white paper is the first in a planned series of related BI-focused papers. The paper presents an example hardware and software configuration that demonstrates deploying the Data Warehouse and Data Transformation Services (DTS) and/or Extract Transform and Load (ETL) DTS/ETL components of a mid-range BI solution, capitalizing on the scalable power of HP 64-bit Integrity systems and Microsoft SQL Server 2005.
Oracle Warehouse Builder 10g Release 2: Implementing Advanced Data Warehouse Concepts at Elizabeth Arden Inc.	2006-12-18 01:00:25	Oracle
Inventive use of an ETL tool, forward looking data modeling and embedding smarts in data structures allows Elizabeth Arden to achieve two goals for their business. First, the IT staff can focus on their core capabilities of building and maintaining systems, not on creating reports for end users. Second, business users get better information quicker allowing these users to again do their job, run the business. With Warehouse Builder Elizabeth Arden has found a tool that it can use to implement these concepts to get the maximum benefits for the company.
Enterprise Data Services White Paper: A Declarative Approach for Defining Services	2006-09-08 01:00:28	BEA Systems
As organizations adopt a Service-Oriented Architecture (SOA) they are discovering that service-enabling data is one of the most pressing tasks. Download this informative white paper from BEA to learn about the importance of a data services layer and how the BEA AquaLogic Data Services Platform automates and minimizes the work of service-enabling data.
Driving Information-led Business Innovation with IBM Information Server	2006-11-04 01:00:15	IBM
IBM Information Server is a revolutionary new software platform that helps companies derive more value from the complex, heterogeneous information spread across their systems. It enables companies to integrate disparate data and deliver trusted information wherever and whenever. Learn more about its full capabilities in this paper.
Money, Time and Knowledge: The Advantages of Building Dependent Data Marts	2006-08-30 01:00:13	SAS Institute
One of the questions the author is most frequently asked by clients is which architecture strategy is best: independent or dependent data marts. Although both solutions have their advantages, the author usually recommends a Dependent Data Mart (DDM) solution. He recommends DDMs because they tend to provide the best solutions to the main requirements the clients have for data marts in general: they provide a better solution to integration problems; they provide easier maintenance through the ability to identify data errors more quickly; and they provide a better, wider view of the organization.
Answers at the Speed of Thought: Providing Real Time Information through Data Warehousing	2006-08-29 09:46:57	Netezza
Any time delay between a command initiation and when its effects begin is a threat in today's world, especially as speed is vital to stay ahead of fast-moving competitors. This time delay, known as latency, can plague the entire data warehousing experience. Data may take hours, or even days, to update - causing stale and inaccurate analysis. This whitepaper will look at a family of data warehousing appliances, and how they are built to eliminate latency, allowing your users to get up-to-date information immediately, rather than using outdated data. In addition, an explanation of how and why these appliances can process data faster, allowing for faster queries and backups.