Data Cleansing

Oracle Buys Carleton Corporation to Enhance Warehouse Offering

by M. Reed ... Apertus was a supplier of data cleansing and integration software. The product of this merger became Carleton Pure*Extract™ (data ... http:/.../Research/ResearchHighlights/DataWarehousing/1999/11/news_analysis/NA_DW_MFR_11_10_99_3.asp - 6k - 1999-11-10 Summary:

More Data is Going to the Cleaners

by M. Reed ... "Our customer data cleansing and matching tools work with ... We predict this trend will continue as Ardent now has very strong data cleansing capabilities. ... http:/.../Research/ResearchHighlights/DataWarehousing/1999/12/news_analysis/NA_DW_MFR_12_1_99_2.asp - 5k - 1999-12-01 Summary: WESTBORO, Mass., November 29, 1999 - Ardent Software, Inc. (Nasdaq: ARDT) today announced a strategic partnership with Firstlogic, Inc., the developer of i.d.Centric data quality software that helps companies cleanse and consolidate data in database marketing, data warehousing, and e-business application

Data Quality: Cost or Profit?

by Kevin Ramesan ... With this said, an application's contribution to data cleansing remains a pillar to the overall success of a data quality strategy. ... http:/.../Research/ResearchHighlights/Crm/2004/03/research_notes/MI_CR_KR_03_08_04_1.asp - 14k - 2004-03-08 Summary: 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 negat

Datawarehouse Vendors Moving Towards Application Suites

by M. Reed ... vendors announced product suites that they claim offer broader integration between business intelligence, data movement, data cleansing and metadata management ... http:/.../Research/ResearchHighlights/DataWarehousing/1999/09/news_analysis/NA_DW_MFR_9_29_99_1.asp - 10k - 1999-09-29 Summary: During September, two more data warehousing vendors announced product suites that they claim offer broader integration between different data warehousing technologies. BI vendor Cognos announced

Distilling Data: The Importance of Data Quality in Business ...

by Anna Mallikarjunan ... Data quality functions fall into three categories: data profiling, to analyze and identify quality issues; data cleansing, to correct and standardize data in ... http:/.../ResearchHighlights/BusinessIntelligence/2008/10/research_notes/TU_BI_AM_10_20_08_1.asp - 19k Summary: As an enterprise’s data grows in volume and complexity, a comprehensive data quality strategy is imperative to providing a reliable business intelligence environment. This article looks at issues in data quality and how they can be addressed.

Customer Data Integration: A Primer

by Lyndsay Wise ... applications such as billing and call center systems do not always feed into one another, and even when they do, lack of data cleansing and management can ... http:/.../ResearchHighlights/BusinessIntelligence/2006/08/research_notes/TU_BI_LW_08_22_06_1.asp - 20k - 2006-08-22 Summary: 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.

Comparing Business Intelligence and Data Integration Best-of-breed ...

by Lyndsay Wise ... following data integration vendors provide the same functionality as the aforementioned BI vendors, but with an increased focus on data cleansing and integrity ... http:/.../ResearchHighlights/BusinessIntelligence/2006/03/research_notes/TU_BI_LW_03_07_06_1.asp - 19k - 2006-03-07 Summary: 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.

Lapiz Technical Services

... industry practices 6. Criticality Analysis Inventory Optimization: 1. Inventory Analysis 2. Cataloguing, data cleansing, coding and classification 3. MRO Bill ... http://directory.technologyevaluation.com/profile.aspx?vid=17503 - 4k

Continuous Data Quality Management: The Cornerstone of Zero ...

by Greg Leman, CEO, Metagenix, Inc. ... Middleware and Data Integration merely move faulty data from point A to point B. While an implementation may incorporate data cleansing as part of a project ... http:/.../Research/ResearchHighlights/DataWarehousing/2002/10/research_notes/MI_DW_XGL_10_17_02_1.asp - 25k - 2002-10-17 Summary: No matter how well an enterprise implements a CRM, ERP, SCM, Business Intelligence, or Data Warehouse project, poor data quality can destroy its utility and cost real dollars.

A Definition of Data Warehousing

by M. Reed ... Data Cleansing: This is typically performed in conjunction with data acquisition (it can be part of the "T" in "ETL"). A data warehouse ... http:/.../Research/ResearchHighlights/DataWarehousing/2002/08/research_notes/TU_DW_MFR_08_18_02_1.asp - 15k - 2002-08-18 Summary: 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 ext