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Ask the Experts Question: Do Organizations Really Need a Physical Data Warehouse Structure?
We recently had a question from one of our readers (through our Ask the Experts page) discussing QlikView’s approach to data collection.Reader’s Question

data warehouse testing research  Really Need a Physical Data Warehouse Structure? We recently had a question from one of our readers (through our Ask the Experts page) discussing QlikView’s approach to data collection. Reader’s Question “QlikView says its innovative way of collecting data and not needing a physical data warehouse (DW) structure is the right thing to do in DW/business intelligence (BI) solutions. Can one expect to build a sustainable / scalable corporate data warehouse through such an approach?” TEC Analyst Read More

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Documents related to » data warehouse testing research


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

data warehouse testing research  (ETL) code for a data warehouse faces a new set of challenges when migrating data to a live, operational system. Although a 2% error rate may be acceptable for aggregate reporting, it is not acceptable for customer contact data—in this example, we would fail to recognize one out of 50 customers when they call! Many significant business initiatives and large IT projects depend upon a successful data migration. Your goal is to minimize as much of your risk as possible through effective planning and Read More
The Truth about Data Mining
It is now imperative that businesses be prudent. With rising volumes of data, traditional analytical techniques may not be able to discover valuable data

data warehouse testing research  the presence of a data warehouse or data store containing organizational data. Although data mining can be applied to a wide range of data sources, it is beneficial to start with a data warehouse in which facts and dimensions have been identified and a data cleansing framework is in place in order to ensure good data quality. 1. The Knowledge Base The crust of a data mining system is an organization's knowledge base. This is the domain knowledge that describes an organization's data. It includes Read More
Warehouse Management for Manufacturers: Why Extended ERP Might Be the Right Choice
As a provider of enterprise resource planning (ERP) integrated workforce productivity solutions, we have seen many approaches to distribution automation. Adding

data warehouse testing research  productivity suite, which includes data collection, mobile devices, truck mounted devices, and the ability to direct workers to the next task. This approach delivers functionality for picking and warehouse automation, driving efficiencies to and automating the work of people performing those functions. A WMS might accomplish some of the same things, but it brings the added cost of additional licenses for the application and database, additional server hardware, additional support and maintenance fees, 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

data warehouse testing research  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 beta sites worldwide, is available for purchase tomorrow. The Oracle Read More
SAP Bolsters NetWeaver's MDM Capabilities Part Five: Challenges and User Recommendations
SAP customers waiting for MDM to address data synchronization initiatives can be confident that, in the long term, SAP will likely address consolidation of

data warehouse testing research  integrate with several disparate data warehouses and applications or platform, including IBM WebSphere , SAP Web Application Server ( SAP Web AS ) and SAP EP. Still, time only will tell whether the future SAP Global Data Synchronization ( SAP GDS ) product will be released as planned in late 2004, when one can discern how truly easy it is to integrate xCat. Further, SAP plans to integrate xCat functions like high-speed data normalization and taxonomy management more firmly into the SAP MDM component in Read More
Forrester Research, Inc.
International research and advisory firm Forrester Research provides its clients consumer and business data, consulting, peer-to-peer executive programs, events

data warehouse testing research  clients consumer and business data, consulting, peer-to-peer executive programs, events, and online communities. Read More
Nucleus Research
Founded in 2000, Nucleus Research is an information technology research firm.@The company has published more than 460 return on investment (ROI) case studies.

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Business Analytics: Nucleus Research Note—How Analytics Makes Midsize Companies More Profitable
When senior leaders of small and midsize companies invest in analytics tools, they can improve operating results by enabling managers to make fact-based, data

data warehouse testing research  managers to make fact-based, data-driven decisions. Learn how in this report from Nucleus Research. Read More
Metagenix Reverse Engineers Data Into Information
Metagenix’ MetaRecon reverse engineers metadata information by examining the raw data contained in the source(s) rather than depending on the data dictionaries

data warehouse testing research  Reverse Engineers Data Into Information Metagenix Reverse Engineers Data Into Information M. Reed - February 15, 2001 Event Summary Metagenix, Inc. has designed its flagship product, MetaRecon to, as they put it, Decipher Your Data Genome . The product reverse engineers all of the metadata ( data about data ) from data sources and generates information that is very helpful to developers in designing specifications for a new data store, and assists greatly in preparing for cleansing and transforma 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

data warehouse testing research  Data Quality: A Seven-step Plan for Any Size Organization Melissa Data’s Data Quality Suite operates like a data quality firewall – instantly verifying, cleaning, and standardizing your contact data at point of entry, before it enters your database. Source : Melissa Data Resources Related to Scalable Data Quality: A Seven-step Plan for Any Size Organization : Data quality (Wikipedia) Scalable Data Quality: A Seven-step Plan for Any Size Organization Data Quality is also known as : Customer Read More
Aberdeen Research Brief: Web Security in the Cloud-More Secure! More Compliant! Less Expensive!
This paper compares on-premise versus software-as-a-service (SaaS) hosted solutions for Web security. Through the comparison, you can see that there is research

data warehouse testing research  saas applications,enterprise network security,saas sales,saas solution,saas services,saas vendors,saas providers,saas hosting,saas pricing,saas email,saas project,saas provider,saas development,saas company,soa saas Read More
Focus Research
Focus makes the world@s business expertise available to everyone. At the heart of Focus is a network of thousands of leading business and technology experts

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Retail Systems Research
Retail Systems Research (RSR) provides advisory services, research, and industry news. RSR publishes Retail Paradox Weekly, a retail news analysis newsletter.

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Case Study: Archipelago Marine Research


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