| 1. |
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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| 2. |
Data Mining: The Brains Behind eCRM (6 Pages)
by Steve McVey
Nov 6, 2000
Abstract : Data mining has emerged from obscure beginnings in artificial intelligence to become a viable and increasingly popular tool for putting data to work. Data mining is a set of techniques for automating the exploration of data and uncovering hidden truths.
Type: Article
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| 3. |
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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| 4. |
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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| 5. |
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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| 6. |
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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| 7. |
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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| 8. |
Komatsu Mining Implements E-procurement Solution to Establish Private Exchange by SSA Global
Abstract : Komatsu Mining, a manufacturer of mining equipment, used a traditional purchase order (PO) system that had a number of problems. Learn how Komatsu made its internal PO generation more efficient and how it implemented more discipline among its supplier base.
Type: White Paper
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| 9. |
Komatsu Mining Implements E-procurement Solution to Establish Private Exchange by SSA Global
Abstract : Komatsu Mining, a manufacturer of mining equipment, used a traditional purchase order (PO) system that had a number of problems. Learn how Komatsu made its internal PO generation more efficient and how it implemented more discipline among its supplier base.
Type: White Paper
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