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Documents related to » bi data warehouse definition


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 definition  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...
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 definition  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...
Four Critical Success Factors to Cleansing Data
Quality data in the supply chain is essential in when information is automated and shared with internal and external customers. Dirty data is a huge impediment

bi data warehouse definition  Chain Data SCM | BI Data | BI Data Cleansing | BI Consumer Data | BI Precise Data Cleansing | BI Data Quality | BI Data Cleansing Tools | BI Data Cleansing Solutions | BI Accurate Data | BI Source Data | BI Data Warehousing | BI Data Scrubbing | BI Outsource Data Cleansing | BI Data Bureau Services | BI Data Cleansing Software | BI Data Transformation | BI Consumer Database Cleaning | BI Cleansing Data Warehouse | BI Data Cleansing Services | BI Data Discovery | BI Data Profiling | BI Data Analysis | BI Read More...
Data, Data Everywhere: A Special Report on Managing Information
The quantity of information in the world is soaring. Merely keeping up with, and storing new information is difficult enough. Analyzing it, to spot patterns and

bi data warehouse definition  Managing Information Systems | BI Data Warehousing | Data Management Service | Data Management Definition | MDM Data Management | Data Storage Manager | Data Management Outsourcing | Data Management Strategies | Business Intelligence Data Integration | Data Integration | ITIL Data Management | Big Database | Data Migration | Using MDM | Data Reduction | Data Maintenance Costs | SAP Data Management | SAP Netweaver Master Data Management | SAP Netweaver MDM | SAP MDM Quick Starters | SAP Netweaver White Read More...
Data Management and Business Performance: Part 1-Data
Research for one of my projects led me to ask both software vendors and customers about the factors most important to software users in the selection of a

bi data warehouse definition  resounded: the use of BI tools to improve data management and business performance management. Consumers are continuously looking for innovative ways to move, store, and improve the quality of their data as well as to ways to capture the most valuable information for improved decision making and business performance. Let’s look at what the data tells us. Below is a Pareto chart based on data from Technology Evaluation Centers (TEC) on what software users consider to be the most popular functionality 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 definition  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...
SAS/Warehouse 2.0 Goes Live
SAS Institute has announced the production availability of SAS/Warehouse Administrator software, Version 2.0. This new version provides IT the ability to

bi data warehouse definition  has announced the production availability of SAS/Warehouse Administrator software, Version 2.0. Demonstrated at the Data Warehousing Institute conference in Anaheim, Calif., this new version provides IT the ability to proactively publish data warehouse information and track its usage, plus aggressively manage the process of change in the data warehouse. Data warehouses and data marts have become a vital component of all successful data mining, knowledge management, business portal, e-intelligence, Read More...
2011 Business Intelligence Buyer''s Guide: BI for Everyone
This buyer guide is for business owners, managers, decision makers, and anyone interested in learning about the deployment of business intelligence (BI) systems

bi data warehouse definition  Business Intelligence Buyer''s Guide: BI for Everyone This buyer guide is for business owners, managers, decision makers, and anyone interested in learning about the deployment of business intelligence (BI) systems across large enterprises as well as small to medium businesses (SMBs). It presents a comprehensive view of the wide spectrum of BI software solutions currently available and investigates how they match different types of organizations according to size and need. Read More...
Data Mining with MicroStrategy: Using the BI Platform to Distribute Data Mining and Predictive Analytics to the Masses
Data mining and predictive analysis applications can help you make knowledge-driven decisions and improve efficiency. But the user adoption of these tools has

bi data warehouse definition  with MicroStrategy: Using the BI Platform to Distribute Data Mining and Predictive Analytics to the Masses Data mining and predictive analysis applications can help you make knowledge-driven decisions and improve efficiency. But the user adoption of these tools has been slow due to their lack of business intelligence (BI) functionality, proactive information distribution, robust security, and other necessities. Now there’s an integrated enterprise BI system that can deliver data mining and predictive Read More...
Types of Prefabricated Modular Data Centers
Data center systems or subsystems that are pre-assembled in a factory are often described with terms like prefabricated, containerized, modular, skid-based, pod

bi data warehouse definition  containerized, modular, skid-based, pod-based, mobile, portable, self-contained, all-in-one, and more. There are, however, important distinctions between the various types of factory-built building blocks on the market. This paper proposes standard terminology for categorizing the types of prefabricated modular data centers, defines and compares their key attributes, and provides a framework for choosing the best approach(es) based on business requirements. Read More...
Data Center Projects: Advantages of Using a Reference Design
It is no longer practical or cost-effective to completely engineer all aspects of a unique data center. Re-use of proven, documented subsystems or complete

bi data warehouse definition  Center Projects: Advantages of Using a Reference Design It is no longer practical or cost-effective to completely engineer all aspects of a unique data center. Re-use of proven, documented subsystems or complete designs is a best practice for both new data centers and for upgrades to existing data centers. Adopting a well-conceived reference design can have a positive impact on both the project itself, as well as on the operation of the data center over its lifetime. Reference designs simplify and 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 definition  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...
Simulation In The Warehouse
Simulation can remedy one time and ongoing problems in the warehouse. Learn about the technology of computer stimulation and how it can benefit senior

bi data warehouse definition  storage,catalyst,simulation,management,logistic Read More...
New Data Protection Strategies
One of the greatest challenges facing organizations is the protection of corporate data. The issues complicating data protection are compounded by increased

bi data warehouse definition  Data Protection Strategies One of the greatest challenges facing organizations is the protection of corporate data. The issues complicating data protection are compounded by increased demand for data capacity and higher service levels. Often these demands are coupled with regulatory requirements and a shifting business environment. Learn about data protection strategies that can help organizations meet these demands while maintaining flat budgets. Read More...
Logs: Data Warehouse Style
Once a revolutionary concept, data warehouses are now the status quo—enabling IT professionals to manage and report on data originating from diverse sources

bi data warehouse definition  Data Warehouse Style Once a revolutionary concept, data warehouses are now the status quo—enabling IT professionals to manage and report on data originating from diverse sources. But where does log data fit in? Historically, log data was reported on through slow legacy applications. But with today’s log data warehouse solutions, data is centralized, allowing users to analyze and report on it with unparalleled speed and efficiency. Read More...

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