| 1. |
A Definition of Data Warehousing (6 Pages)
by M. Reed
Aug 18, 2002
Abstract : 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 describes the process of defining, populating, and using a data warehouse. Creating, populating, and querying a data warehouse typically carries an extremely high price tag, but the return on investment can be substantial. Over 95% of the Fortune 1000 have a data warehouse initiative underway in some form.
Type: Article
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| 2. |
A Definition of Data Warehousing (6 Pages)
by M. Reed
Aug 24, 2000
Abstract : 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 describes the process of defining, populating, and using a data warehouse. Creating, populating, and querying a data warehouse typically carries an extremely high price tag, but the return on investment can be substantial. Over 95% of the Fortune 1000 have a data warehouse initiative underway in some form.
Type: Article
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| 3. |
Microsoft Goes Their Own Way with Data Warehousing Alliance 2000 (3 Pages)
by M. Reed
Dec 1, 1999
Abstract : Microsoft Corp. (Nasdaq: MSFT) today announced that 47 applications and tools from 39 vendors throughout the industry have qualified for Microsoft« Data Warehousing Alliance 2000. Alliance members and partners are committed to delivering tools and applications based on the Microsoft Data Warehousing Framework 2000, an open architecture based on the open standards and services built into the Windows« 2000 operating system, Microsoft SQL Server 7.0 and Office 2000.
Type: Article
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| 4. |
Comparing Business Intelligence and Data Integration Best-of-breed Vendors' Extract Transform and Load Solutions (4 Pages)
by Lyndsay Wise
Mar 7, 2006
Abstract : There are two types of extract transform and load (ETL) vendors. Business intelligence (BI) vendors integrate ETL functionality into their overall BI framework, while best-of-breed data integration vendors, who provide enhanced ETL functionality, have an increased focus on data cleansing and integrity.
Type: Article
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| 5. |
Data Quality: Cost or Profit? (4 Pages)
by Kevin Ramesan
Mar 8, 2004
Abstract : Data quality has direct consequences on a company's bottom-line and its customer relationship management (CRM) strategy. Looking beyond general approaches and company policies that set expectations and establish data management procedures, we will explore applications and tools that help reduce the negative impact of poor data quality. Some CRM application providers like Interface Software have definitely taken data quality seriously and are contributing to solving some data quality issues.
Type: Article
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| 6. |
Evoke Software Releases Axio Data Integration Product (3 Pages)
by M. Reed
Jun 27, 2000
Abstract : Evoke Software Corporation has announced the release of Axio™, an e-business integration product designed to web-enable multiple different data sources into a unified view of a business. The product has a very intriguing method of metadata scanning, and should have significant market impact.
Type: Article
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| 7. |
Microsoft says OLE for Data Mining: Is it Bull? (3 Pages)
by M. Reed
Mar 28, 2000
Abstract : Microsoft released a new version of OLE DB (Object Linking and Embedding Database, based on Microsoftﾒs Component Object Model or COM) which supports a proprietary data mining specification. It is purported to extend the Structured Query Language (SQL) to allow easier and faster incorporation of data mining queries into existing data warehouse solutions.
Type: Article
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| 8. |
Customer Data Integration: A Primer (4 Pages)
by Lyndsay Wise
Aug 22, 2006
Abstract : Customer data integration (CDI) involves consolidation of customer information for a centralized view of the customer experience. Implementing CDI within a customer relationship management initiative can help provide organizations with a successful framework to manage data on a continuous basis.
Type: Article
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| 9. |
The Necessity of Data Warehousing (4 Pages)
by M. Reed
Aug 2, 2000
Abstract : An explanation of the origins of data warehousing and why it is a crucial technology that allows businesses to gain competitive advantage. Issues regarding technology selection and access to historical 'legacy' data are also discussed.
Type: Article
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