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Documents related to » bi data warehouse community


A Definition of Data Warehousing
There is a great deal of confusion over the meaning of data warehousing. Simply defined, a data warehouse is a place for data, whereas data warehousing

bi data warehouse community  the data properly. The BI tools need the metadata for similar reasons. Summary: Data Warehousing is a complex field, with many vendors vying for market awareness. The complexity of the technology and the interactions between the various tools, and the high price points for the products require companies to perform careful technology evaluation before embarking on a warehousing project. However, the potential for enormous returns on investment and competitive advantage make data warehousing difficult to Read More...
Real-time In-memory Technologies Do Not Make Data Warehousing Obsolete
The benefits of well thought-out architecture for designing and implementing large-scale DW environments are well-documented. Perhaps the best known of the DW

bi data warehouse community  and flexibility of overall BI deployments is the result. Learn more in this white paper authored by one of the co-developers of the corporate information factory DW architecture. Read More...
BI State of the Market Report
IT departments rarely know as much about a business as the business people themselves. But business users still depend on IT to deliver answers related to the

bi data warehouse community  applies them in the BI space by making data the focus of user collaboration. The following sections take the capabilities above and list the functional requirements that support them. Bear in mind that each of these functional requirements is a business user requirement and not an IT or development requirement. Collaboration Collaboration is about being able to share insights and help others to gain insight. These are the main functional requirements for collaboration: the ability to use e-mail, instant Read More...
A Road Map to Data Migration Success
Many significant business initiatives and large IT projects depend upon a successful data migration. But when migrated data is transformed for new uses, project

bi data warehouse community  4.0 Data Migration | BI Solutions and Data Migration Tools | CRM 4.0 Data Migration Manager | Data Migration Analysis | Data Migration Issues | Data Migration Cost | Data Migration Document | Data Migration System | Data Migration Methodology | Data Migration Project Plan | Data Migration Specialist | Data Migration Best Practices | Data Migration Strategies | Data Migration Utility | Free Data Migration | Practical Data Migration | Data Migration Download | Data Migration Guide | ETL | Strategies | Read More...
Case Study: Community College Embarks on Financial Reporting System Implementation
The Nova Scotia Community College (NSCC) implemented Business Objects to create a financial reporting system that would run in real time, as opposed to taking

bi data warehouse community  to newer versions of BI and reporting tools. Testing can help organizations identify what the transition issues are, and fix them before they affect users. Organization-wide buy-in can therefore be expected, providing end users are not needlessly affected when software upgrades are implemented.. Maintaining in-house expertise also helps ensure end user buy-in, as end users don''t need to seek outside support when issues occur. Although there will always be the need to have a connection with the BI vendor Read More...
Data Visualization: When Data Speaks Business
For many organizations, data visualization is a practice that involves not only specific tools but also key techniques, procedures, and rules. The objective is

bi data warehouse community  Visualization: When Data Speaks Business For many organizations, data visualization is a practice that involves not only specific tools but also key techniques, procedures, and rules. The objective is to ensure the best use of existing tools for extending discovery, gaining knowledge, and improving the decision-making process at all organizational levels. This report considers the important effects of having good data visualization practices and analyzes some of the features, functions, and advantages Read More...
Oracle Warehouse Builder: Better Late than Never?
Close to a year behind schedule, Oracle released Warehouse Builder to the market. Oracle, in an interesting contradiction in terms, has stated that the product

bi data warehouse community  Oracle announced the immediate availability of Oracle Warehouse Builder, an extensible and easy-to-use data warehouse design and deployment framework. As part of Oracle''s Intelligent WebHouse Initiative, Oracle Warehouse Builder automates much of the work that goes into creating a powerful, single data store for e-business analysis, specifically with its ability to integrate historical data with the massive, daily influxes of online data from web sites. The product, already in production at nearly 20 Read More...
Developing a Universal Approach to Cleansing Customer and Product Data
Data quality has always been an important issue for companies, and today it’s even more so. But are you up-to-date on current industry problems concerning data

bi data warehouse community  Data Cleanse Summary About BI Research About Business Objects Data Quality: What’s The Problem? Data quality has always been an important issue for companies, and this is even more the case today. Business and legislative pressures coupled with the explosion in the amount of data created by organizations is leading to increased corporate attention on improving the quality and accuracy of business data. This paper reviews current industry problems concerning data quality, and takes a detailed look at Read More...
Best Practices for a BI and Analytics Strategy
A growing number of organizations are moving toward having more pervasive business intelligence (BI) by turning to evidence-based decision making supported by a

bi data warehouse community  Practices for a BI and Analytics Strategy A growing number of organizations are moving toward having more pervasive business intelligence (BI) by turning to evidence-based decision making supported by a range of BI and analytics technology and processes that enable decision makers to have the best possible intelligence about customers, finances, operations, suppliers, and the market. This white paper addresses several questions that BI customers are facing. Read More...
Data Pro Accounting Software
Data Pro Accounting Software, Inc., privately owned, is based in St. Petersburg, Florida and was originally incorporated in June of 1985. The goal of the

bi data warehouse community  Pro Accounting Software Data Pro Accounting Software, Inc., privately owned, is based in St. Petersburg, Florida and was originally incorporated in June of 1985. The goal of the corporation has always been to develop and market a full line of accounting software products for a wide range of market segments, on a broad spectrum of operating systems environments such as DOS, Windows and UNIX. Read More...
BI Maturity and Software Selection Perspectives
While new technology trends are invading the business intelligence (BI) space, technology shifts and hype do not necessarily equate to the ability to exploit

bi data warehouse community  To select a best-fit BI solution, an organization needs to be able to realistically assess the maturity of its BI infrastructure. This allows them to discover where they are, what their BI requirements are, and how to determine the best BI solution or strategy. Download the full report now. Read More...
The Advantages of Row- and Rack-oriented Cooling Architectures for Data Centers
The traditional room-oriented approach to data center cooling has limitations in next-generation data centers. Next-generation data centers must adapt to

bi data warehouse community  IT equipment takes in ambient air and ejects waste heat into its exhaust air. Since a data center may contain thousands of IT devices, the result is that there are thousands of hot airflow paths within the data center that together represent the total waste heat output of the data center; waste heat that must be removed. The purpose of the air conditioning system for the data center is to efficiently capture this complex flow of waste heat and eject it from the room. Room-based cooling is the historical Read More...
Data Center Projects: Project Management
In data center design projects, flawed management frequently leads to delays, expense, and frustration. Effective project management requires well-defined

bi data warehouse community  a common language, avoid responsibility gaps and duplication of effort, and achieve an efficient process with a predictable outcome. This paper presents a framework for project management roles and relationships that is understandable, comprehensive, and adaptable to any size project. Introduction In a project to build or upgrade data center physical infrastructure, a structured and standardized process provides the essential foundation for efficient project execution and a successfully deployed system. Read More...
Scalable Data Quality: A Seven-step Plan for Any Size Organization
Every record that fails to meet standards of quality can lead to lost revenue or unnecessary costs. A well-executed data quality initiative isn’t difficult, but

bi data warehouse community  data is used for billing, incorrect addresses cannot only lead to unnecessary expenses, but also delay collections Points of Entry Bad address data has multiple points of entry in any organization. If an organization collects sales leads over the web, the customer can either mistype their address or deliberately provide false information. Even if employees of the organization collect the addresses, the possibility for errors still exists. If an organization buys address lists from a vendor or other Read More...
Data Security Is Less Expensive than Your Next Liability Lawsuit: Best Practices in Application Data Security
Insecure data. Heavy fines due to non-compliance. Loss of customers and reputation. It adds up to a nightmare scenario that businesses want to avoid at all

bi data warehouse community  Expensive than Your Next Liability Lawsuit: Best Practices in Application Data Security Insecure data. Heavy fines due to non-compliance. Loss of customers and reputation. It adds up to a nightmare scenario that businesses want to avoid at all costs. However, this nightmare is preventable: knowledge base-driven data security solutions can be critical tools for enterprises wanting to secure not only their data—but also their status in the marketplace. Read More...

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